From 37275cdd3131ec4071bd4d44538824b42c4a091c Mon Sep 17 00:00:00 2001 From: Neucrack Date: Mon, 29 Apr 2024 15:19:32 +0800 Subject: [PATCH] update en doc --- maixpy/api/api.json | 532 ++++++++++- maixpy/api/index.html | 5 +- maixpy/api/maix/app.html | 5 +- maixpy/api/maix/camera.html | 36 +- maixpy/api/maix/comm.html | 5 +- maixpy/api/maix/display.html | 36 +- maixpy/api/maix/err.html | 5 +- maixpy/api/maix/example.html | 5 +- maixpy/api/maix/fs.html | 5 +- maixpy/api/maix/i18n.html | 5 +- maixpy/api/maix/image.html | 5 +- maixpy/api/maix/network.html | 24 +- maixpy/api/maix/network/wifi.html | 885 ++++++++++++++++++ maixpy/api/maix/nn.html | 13 +- maixpy/api/maix/nn/F.html | 5 +- maixpy/api/maix/peripheral.html | 5 +- maixpy/api/maix/peripheral/adc.html | 5 +- maixpy/api/maix/peripheral/gpio.html | 5 +- maixpy/api/maix/peripheral/i2c.html | 5 +- maixpy/api/maix/peripheral/key.html | 5 +- maixpy/api/maix/peripheral/pwm.html | 5 +- maixpy/api/maix/peripheral/spi.html | 5 +- maixpy/api/maix/peripheral/timer.html | 5 +- maixpy/api/maix/peripheral/uart.html | 5 +- maixpy/api/maix/peripheral/wdt.html | 5 +- maixpy/api/maix/protocol.html | 5 +- maixpy/api/maix/rtsp.html | 183 +++- maixpy/api/maix/sys.html | 5 +- maixpy/api/maix/tensor.html | 5 +- maixpy/api/maix/thread.html | 5 +- maixpy/api/maix/time.html | 5 +- maixpy/api/maix/touchscreen.html | 5 +- maixpy/api/maix/util.html | 5 +- maixpy/api/maix/video.html | 24 +- maixpy/api/sidebar.yaml | 4 + maixpy/doc/en/audio/recognize.html | 316 +++++++ maixpy/doc/en/basic/app.html | 342 +++++++ maixpy/doc/en/basic/app_usage.html | 316 +++++++ maixpy/doc/en/basic/linux_basic.html | 361 +++++++ maixpy/doc/en/basic/maixpy_upgrade.html | 326 +++++++ maixpy/doc/en/basic/maixvision.html | 364 +++++++ maixpy/doc/en/basic/os.html | 333 +++++++ maixpy/doc/en/basic/python.html | 353 +++++++ maixpy/doc/en/basic/python_pkgs.html | 331 +++++++ maixpy/doc/en/faq.html | 351 +++++++ maixpy/doc/en/index.html | 273 +++++- maixpy/doc/en/modules/acc.html | 316 +++++++ maixpy/doc/en/modules/thermal_cam.html | 316 +++++++ maixpy/doc/en/modules/tof.html | 316 +++++++ maixpy/doc/en/no_translate.html | 94 +- maixpy/doc/en/peripheral/gpio.html | 316 +++++++ maixpy/doc/en/peripheral/i2c.html | 316 +++++++ maixpy/doc/en/peripheral/pwm.html | 316 +++++++ maixpy/doc/en/peripheral/spi.html | 316 +++++++ maixpy/doc/en/peripheral/uart.html | 316 +++++++ maixpy/doc/en/peripheral/wdt.html | 316 +++++++ maixpy/doc/en/pro/compile_os.html | 311 ++++++ maixpy/doc/en/sidebar.yaml | 206 ++-- maixpy/doc/en/source_code/add_c_module.html | 321 +++++++ maixpy/doc/en/source_code/build.html | 365 ++++++++ maixpy/doc/en/source_code/contribute.html | 347 +++++++ maixpy/doc/en/source_code/faq.html | 327 +++++++ maixpy/doc/en/source_code/maixcdk.html | 318 +++++++ maixpy/doc/en/video/jpeg_streaming.html | 377 ++++++++ maixpy/doc/en/vision/ai.html | 356 +++++++ maixpy/doc/en/vision/apriltag.html | 470 ++++++++++ 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maixpy/doc/en/vision/display.html | 424 +++++++++ maixpy/doc/en/vision/face_recognition.html | 354 +++++++ maixpy/doc/en/vision/find_blobs.html | 510 ++++++++++ maixpy/doc/en/vision/image_ops.html | 584 ++++++++++++ maixpy/doc/en/vision/maixhub_train.html | 372 ++++++++ maixpy/doc/en/vision/object_track.html | 316 +++++++ maixpy/doc/en/vision/qrcode.html | 434 +++++++++ .../doc/en/vision/self_learn_classifier.html | 356 +++++++ maixpy/doc/en/vision/self_learn_detector.html | 317 +++++++ maixpy/doc/en/vision/yolov5.html | 340 +++++++ maixpy/doc/zh/audio/recognize.html | 2 +- maixpy/doc/zh/basic/app.html | 2 +- maixpy/doc/zh/basic/app_usage.html | 2 +- maixpy/doc/zh/basic/linux_basic.html | 2 +- maixpy/doc/zh/basic/maixpy_upgrade.html | 2 +- maixpy/doc/zh/basic/maixvision.html | 2 +- maixpy/doc/zh/basic/os.html | 2 +- maixpy/doc/zh/basic/python.html | 2 +- maixpy/doc/zh/basic/python_pkgs.html | 2 +- maixpy/doc/zh/faq.html | 2 +- maixpy/doc/zh/index.html | 9 +- maixpy/doc/zh/modules/acc.html | 2 +- maixpy/doc/zh/modules/thermal_cam.html | 2 +- maixpy/doc/zh/modules/tof.html | 2 +- maixpy/doc/zh/peripheral/gpio.html | 2 +- maixpy/doc/zh/peripheral/i2c.html | 2 +- maixpy/doc/zh/peripheral/pwm.html | 2 +- maixpy/doc/zh/peripheral/spi.html | 2 +- maixpy/doc/zh/peripheral/uart.html | 2 +- maixpy/doc/zh/peripheral/wdt.html | 2 +- maixpy/doc/zh/pro/compile_os.html | 2 +- maixpy/doc/zh/sidebar.yaml | 2 +- maixpy/doc/zh/source_code/add_c_module.html | 2 +- maixpy/doc/zh/source_code/build.html | 46 +- maixpy/doc/zh/source_code/contribute.html | 2 +- maixpy/doc/zh/source_code/faq.html | 20 +- maixpy/doc/zh/source_code/maixcdk.html | 2 +- maixpy/doc/zh/video/jpeg_streaming.html | 2 +- maixpy/doc/zh/vision/ai.html | 2 +- maixpy/doc/zh/vision/apriltag.html | 2 +- maixpy/doc/zh/vision/body_key_points.html | 2 +- maixpy/doc/zh/vision/camera.html | 2 +- maixpy/doc/zh/vision/classify.html | 2 +- maixpy/doc/zh/vision/custmize_model.html | 14 +- maixpy/doc/zh/vision/display.html | 2 +- maixpy/doc/zh/vision/face_recognition.html | 2 +- maixpy/doc/zh/vision/find_blobs.html | 2 +- maixpy/doc/zh/vision/image_ops.html | 2 +- maixpy/doc/zh/vision/maixhub_train.html | 4 +- maixpy/doc/zh/vision/object_track.html | 2 +- maixpy/doc/zh/vision/qrcode.html | 2 +- .../doc/zh/vision/self_learn_classifier.html | 2 +- maixpy/doc/zh/vision/self_learn_detector.html | 2 +- maixpy/doc/zh/vision/yolov5.html | 2 +- maixpy/sitemap.xml | 488 +++++++--- maixpy/static/search_index/index_0.json | 2 +- maixpy/static/search_index/index_1.json | 2 +- maixpy/static/search_index/index_2.json | 2 +- 139 files changed, 17940 insertions(+), 408 deletions(-) create mode 100644 maixpy/api/maix/network/wifi.html create mode 100644 maixpy/doc/en/audio/recognize.html create mode 100644 maixpy/doc/en/basic/app.html create mode 100644 maixpy/doc/en/basic/app_usage.html create mode 100644 maixpy/doc/en/basic/linux_basic.html create mode 100644 maixpy/doc/en/basic/maixpy_upgrade.html create mode 100644 maixpy/doc/en/basic/maixvision.html create mode 100644 maixpy/doc/en/basic/os.html create mode 100644 maixpy/doc/en/basic/python.html create mode 100644 maixpy/doc/en/basic/python_pkgs.html create mode 100644 maixpy/doc/en/faq.html create mode 100644 maixpy/doc/en/modules/acc.html create mode 100644 maixpy/doc/en/modules/thermal_cam.html create mode 100644 maixpy/doc/en/modules/tof.html create mode 100644 maixpy/doc/en/peripheral/gpio.html create mode 100644 maixpy/doc/en/peripheral/i2c.html create mode 100644 maixpy/doc/en/peripheral/pwm.html create mode 100644 maixpy/doc/en/peripheral/spi.html create mode 100644 maixpy/doc/en/peripheral/uart.html create mode 100644 maixpy/doc/en/peripheral/wdt.html create mode 100644 maixpy/doc/en/pro/compile_os.html create mode 100644 maixpy/doc/en/source_code/add_c_module.html create mode 100644 maixpy/doc/en/source_code/build.html create mode 100644 maixpy/doc/en/source_code/contribute.html create mode 100644 maixpy/doc/en/source_code/faq.html create mode 100644 maixpy/doc/en/source_code/maixcdk.html create mode 100644 maixpy/doc/en/video/jpeg_streaming.html create mode 100644 maixpy/doc/en/vision/ai.html create mode 100644 maixpy/doc/en/vision/apriltag.html create mode 100644 maixpy/doc/en/vision/assets/custmize_model1.png create mode 100644 maixpy/doc/en/vision/assets/custmize_model10.png create mode 100644 maixpy/doc/en/vision/assets/custmize_model11.png create mode 100644 maixpy/doc/en/vision/assets/custmize_model2.png create mode 100644 maixpy/doc/en/vision/assets/custmize_model3.png create mode 100644 maixpy/doc/en/vision/assets/custmize_model4.png create mode 100644 maixpy/doc/en/vision/assets/custmize_model5.png create mode 100644 maixpy/doc/en/vision/assets/custmize_model6.png create mode 100644 maixpy/doc/en/vision/assets/custmize_model7.png create mode 100644 maixpy/doc/en/vision/assets/custmize_model8.png create mode 100644 maixpy/doc/en/vision/assets/custmize_model9.png create mode 100644 maixpy/doc/en/vision/body_key_points.html create mode 100644 maixpy/doc/en/vision/camera.html create mode 100644 maixpy/doc/en/vision/classify.html create mode 100644 maixpy/doc/en/vision/custmize_model.html create mode 100644 maixpy/doc/en/vision/display.html create mode 100644 maixpy/doc/en/vision/face_recognition.html create mode 100644 maixpy/doc/en/vision/find_blobs.html create mode 100644 maixpy/doc/en/vision/image_ops.html create mode 100644 maixpy/doc/en/vision/maixhub_train.html create mode 100644 maixpy/doc/en/vision/object_track.html create mode 100644 maixpy/doc/en/vision/qrcode.html create mode 100644 maixpy/doc/en/vision/self_learn_classifier.html create mode 100644 maixpy/doc/en/vision/self_learn_detector.html create mode 100644 maixpy/doc/en/vision/yolov5.html diff --git a/maixpy/api/api.json b/maixpy/api/api.json index e3fa5a11..18ab695d 100644 --- a/maixpy/api/api.json +++ b/maixpy/api/api.json @@ -9712,6 +9712,20 @@ "def": "err::Err show_colorbar(bool enable)", "py_def": "def show_colorbar(self, enable: bool) -> maix.err.Err" }, + "get_channel": { + "type": "func", + "name": "get_channel", + "doc": { + "brief": "Get channel of camera", + "return": "channel number", + "maixpy": "maix.camera.Camera.get_channel", + "py_doc": "Get channel of camera\n\nReturns: channel number\n" + }, + "args": [], + "ret_type": "int", + "static": false, + "def": "int get_channel()" + }, "set_resolution": { "type": "func", "name": "set_resolution", @@ -10183,6 +10197,20 @@ "def": "void set_backlight(float value)", "py_def": "def set_backlight(self, value: float) -> None" }, + "get_backlight": { + "type": "func", + "name": "get_backlight", + "doc": { + "brief": "Get display backlight", + "return": "value backlight value, float type, range is [0, 100]", + "maixpy": "maix.display.Display.get_backlight", + "py_doc": "Get display backlight\n\nReturns: value backlight value, float type, range is [0, 100]\n" + }, + "args": [], + "ret_type": "float", + "static": false, + "def": "float get_backlight()" + }, "set_hmirror": { "type": "func", "name": "set_hmirror", @@ -14045,6 +14073,319 @@ "brief": "maix.network module" }, "members": { + "wifi": { + "type": "module", + "doc": { + "brief": "maix.network.wifi module" + }, + "members": { + "AP_Info": { + "type": "class", + "name": "AP_Info", + "doc": { + "brief": "WiFi AP info", + "maixpy": "maix.network.wifi.AP_Info", + "py_doc": "WiFi AP info" + }, + "members": { + "ssid": { + "type": "var", + "name": "ssid", + "doc": { + "brief": "WiFi AP info SSID", + "maixpy": "maix.network.wifi.AP_Info.ssid", + "py_doc": "WiFi AP info SSID" + }, + "value": null, + "static": false, + "readonly": false, + "def": "std::vector ssid" + }, + "bssid": { + "type": "var", + "name": "bssid", + "doc": { + "brief": "WiFi AP info BSSID", + "maixpy": "maix.network.wifi.AP_Info.bssid", + "py_doc": "WiFi AP info BSSID" + }, + "value": null, + "static": false, + "readonly": false, + "def": "std::string bssid" + }, + "security": { + "type": "var", + "name": "security", + "doc": { + "brief": "WiFi AP info security", + "maixpy": "maix.network.wifi.AP_Info.security", + "py_doc": "WiFi AP info security" + }, + "value": null, + "static": false, + "readonly": false, + "def": "std::string security" + }, + "channel": { + "type": "var", + "name": "channel", + "doc": { + "brief": "WiFi AP info channel", + "maixpy": "maix.network.wifi.AP_Info.channel", + "py_doc": "WiFi AP info channel" + }, + "value": null, + "static": false, + "readonly": false, + "def": "int channel" + }, + "frequency": { + "type": "var", + "name": "frequency", + "doc": { + "brief": "WiFi AP info frequency", + "maixpy": "maix.network.wifi.AP_Info.frequency", + "py_doc": "WiFi AP info frequency" + }, + "value": null, + "static": false, + "readonly": false, + "def": "int frequency" + }, + "rssi": { + "type": "var", + "name": "rssi", + "doc": { + "brief": "WiFi AP info rssi", + "maixpy": "maix.network.wifi.AP_Info.rssi", + "py_doc": "WiFi AP info rssi" + }, + "value": null, + "static": false, + "readonly": false, + "def": "int rssi" + }, + "ssid_str": { + "type": "func", + "name": "ssid_str", + "doc": { + "brief": "WiFi AP info ssid_str", + "maixpy": "maix.network.wifi.AP_Info.ssid_str", + "py_doc": "WiFi AP info ssid_str" + }, + "args": [], + "ret_type": "std::string", + "static": false, + "def": "std::string ssid_str()" + } + }, + "def": "class AP_Info" + }, + "list_devices": { + "type": "func", + "name": "list_devices", + "doc": { + "brief": "List WiFi interfaces", + "return": "WiFi interface list, string type", + "maixpy": "maix.network.wifi.list_devices", + "py_doc": "List WiFi interfaces\n\nReturns: WiFi interface list, string type\n" + }, + "args": [], + "ret_type": "std::vector", + "static": false, + "def": "std::vector list_devices()" + }, + "Wifi": { + "type": "class", + "name": "Wifi", + "doc": { + "brief": "Wifi class", + "maixpy": "maix.network.wifi.Wifi", + "py_doc": "Wifi class" + }, + "members": { + "__init__": { + "type": "func", + "name": "Wifi", + "doc": { + "brief": "Wifi class", + "param": { + "iface": "wifi interface name, default is wlan0" + }, + "maixpy": "maix.network.wifi.Wifi.__init__", + "maixcdk": "maix.network.wifi.Wifi.Wifi", + "py_doc": "Wifi class\n\nArgs:\n - iface: wifi interface name, default is wlan0\n" + }, + "args": [ + [ + "std::string", + "iface", + "\"wlan0\"" + ] + ], + "ret_type": null, + "static": false, + "def": "Wifi(std::string iface = \"wlan0\")" + }, + "get_ip": { + "type": "func", + "name": "get_ip", + "doc": { + "brief": "Get current WiFi ip", + "return": "ip, string type, if network not connected, will return empty string.", + "maixpy": "maix.network.wifi.Wifi.get_ip", + "py_doc": "Get current WiFi ip\n\nReturns: ip, string type, if network not connected, will return empty string.\n" + }, + "args": [], + "ret_type": "std::string", + "static": false, + "def": "std::string get_ip()" + }, + "get_mac": { + "type": "func", + "name": "get_mac", + "doc": { + "brief": "Get current WiFi MAC address", + "return": "ip, string type.", + "maixpy": "maix.network.wifi.Wifi.get_mac", + "py_doc": "Get current WiFi MAC address\n\nReturns: ip, string type.\n" + }, + "args": [], + "ret_type": "std::string", + "static": false, + "def": "std::string get_mac()" + }, + "get_gateway": { + "type": "func", + "name": "get_gateway", + "doc": { + "brief": "Get current WiFi ip", + "return": "ip, string type, if network not connected, will return empty string.", + "maixpy": "maix.network.wifi.Wifi.get_gateway", + "py_doc": "Get current WiFi ip\n\nReturns: ip, string type, if network not connected, will return empty string.\n" + }, + "args": [], + "ret_type": "std::string", + "static": false, + "def": "std::string get_gateway()" + }, + "start_scan": { + "type": "func", + "name": "start_scan", + "doc": { + "brief": "WiFi start scan AP info around in background.", + "return": "If success, return err.Err.ERR_NONE, else means failed.", + "maixpy": "maix.network.wifi.Wifi.start_scan", + "py_doc": "WiFi start scan AP info around in background.\n\nReturns: If success, return err.Err.ERR_NONE, else means failed.\n" + }, + "args": [], + "ret_type": "err::Err", + "static": false, + "def": "err::Err start_scan()" + }, + "get_scan_result": { + "type": "func", + "name": "get_scan_result", + "doc": { + "brief": "Get WiFi scan AP info.", + "return": "wifi.AP_Info list.", + "maixpy": "maix.network.wifi.Wifi.get_scan_result", + "py_doc": "Get WiFi scan AP info.\n\nReturns: wifi.AP_Info list.\n" + }, + "args": [], + "ret_type": "std::vector", + "static": false, + "def": "std::vector get_scan_result()" + }, + "stop_scan": { + "type": "func", + "name": "stop_scan", + "doc": { + "brief": "Stop WiFi scan AP info.", + "maixpy": "maix.network.wifi.Wifi.stop_scan", + "py_doc": "Stop WiFi scan AP info." + }, + "args": [], + "ret_type": "void", + "static": false, + "def": "void stop_scan()" + }, + "connect": { + "type": "func", + "name": "connect", + "doc": { + "brief": "Connect to WiFi AP.", + "param": { + "ssid": "SSID of AP", + "password": "password of AP, if no password, leave it empty.", + "wait": "wait for got IP or failed or timeout.", + "timeout": "connect timeout internal, unit second." + }, + "return": "If success, return err.Err.ERR_NONE, else means failed.", + "maixpy": "maix.network.wifi.Wifi.connect", + "py_doc": "Connect to WiFi AP.\n\nArgs:\n - ssid: SSID of AP\n - password: password of AP, if no password, leave it empty.\n - wait: wait for got IP or failed or timeout.\n - timeout: connect timeout internal, unit second.\n\n\nReturns: If success, return err.Err.ERR_NONE, else means failed.\n" + }, + "args": [ + [ + "const std::string &", + "ssid", + null + ], + [ + "const std::string &", + "password", + null + ], + [ + "bool", + "wait", + "true" + ], + [ + "int", + "timeout", + "60" + ] + ], + "ret_type": "err::Err", + "static": false, + "def": "err::Err connect(const std::string &ssid, const std::string &password, bool wait = true, int timeout = 60)" + }, + "disconnect": { + "type": "func", + "name": "disconnect", + "doc": { + "brief": "Disconnect from WiFi AP.", + "return": "If success, return err.Err.ERR_NONE, else means failed.", + "maixpy": "maix.network.wifi.Wifi.disconnect", + "py_doc": "Disconnect from WiFi AP.\n\nReturns: If success, return err.Err.ERR_NONE, else means failed.\n" + }, + "args": [], + "ret_type": "err::Err", + "static": false, + "def": "err::Err disconnect()" + }, + "is_connected": { + "type": "func", + "name": "is_connected", + "doc": { + "brief": "See if WiFi is connected to AP.", + "return": "If connected return true, else false.", + "maixpy": "maix.network.wifi.Wifi.is_connected", + "py_doc": "See if WiFi is connected to AP.\n\nReturns: If connected return true, else false.\n" + }, + "args": [], + "ret_type": "bool", + "static": false, + "def": "bool is_connected()" + } + }, + "def": "class Wifi" + } + }, + "auto_add": true + }, "have_network": { "type": "func", "name": "have_network", @@ -14869,11 +15210,12 @@ "img": "input image", "mean": "mean value, a list type, e.g. [0.485, 0.456, 0.406], default is empty list means not normalize.", "scale": "scale value, a list type, e.g. [1/0.229, 1/0.224, 1/0.225], default is empty list means not normalize.", - "fit": "fit mode, if the image size of input not equal to model's input, it will auto resize use this fit method,\ndefault is image.Fit.FIT_FILL for easy coordinate calculation, but for more accurate result, use image.Fit.FIT_CONTAIN is better." + "fit": "fit mode, if the image size of input not equal to model's input, it will auto resize use this fit method,\ndefault is image.Fit.FIT_FILL for easy coordinate calculation, but for more accurate result, use image.Fit.FIT_CONTAIN is better.", + "copy_result": "If set true, will copy result to a new variable; else will use a internal memory, you can only use it until to the next forward.\nDefault true to avoid problems, you can set it to false manually to make speed faster." }, "return": "output tensor. In C++, you should manually delete tensors in return value and return value.", "maixpy": "maix.nn.NN.forward_image", - "py_doc": "forward model, param is image\n\nArgs:\n - img: input image\n - mean: mean value, a list type, e.g. [0.485, 0.456, 0.406], default is empty list means not normalize.\n - scale: scale value, a list type, e.g. [1/0.229, 1/0.224, 1/0.225], default is empty list means not normalize.\n - fit: fit mode, if the image size of input not equal to model's input, it will auto resize use this fit method,\ndefault is image.Fit.FIT_FILL for easy coordinate calculation, but for more accurate result, use image.Fit.FIT_CONTAIN is better.\n\n\nReturns: output tensor. In C++, you should manually delete tensors in return value and return value.\n" + "py_doc": "forward model, param is image\n\nArgs:\n - img: input image\n - mean: mean value, a list type, e.g. [0.485, 0.456, 0.406], default is empty list means not normalize.\n - scale: scale value, a list type, e.g. [1/0.229, 1/0.224, 1/0.225], default is empty list means not normalize.\n - fit: fit mode, if the image size of input not equal to model's input, it will auto resize use this fit method,\ndefault is image.Fit.FIT_FILL for easy coordinate calculation, but for more accurate result, use image.Fit.FIT_CONTAIN is better.\n - copy_result: If set true, will copy result to a new variable; else will use a internal memory, you can only use it until to the next forward.\nDefault true to avoid problems, you can set it to false manually to make speed faster.\n\n\nReturns: output tensor. In C++, you should manually delete tensors in return value and return value.\n" }, "args": [ [ @@ -14895,11 +15237,16 @@ "image::Fit", "fit", "image::Fit::FIT_FILL" + ], + [ + "bool", + "copy_result", + "true" ] ], "ret_type": "tensor::Tensors*", "static": false, - "def": "tensor::Tensors *forward_image(image::Image &img, std::vector mean = std::vector(), std::vector scale = std::vector(), image::Fit fit = image::Fit::FIT_FILL)" + "def": "tensor::Tensors *forward_image(image::Image &img, std::vector mean = std::vector(), std::vector scale = std::vector(), image::Fit fit = image::Fit::FIT_FILL, bool copy_result = true)" } }, "def": "class NN" @@ -16899,6 +17246,99 @@ ], "def": "enum RtspStreamType\n {\n RTSP_STREAM_NONE = 0, // format invalid\n RTSP_STREAM_H265,\n }" }, + "Region": { + "type": "class", + "name": "Region", + "doc": { + "brief": "Region class", + "maixpy": "maix.rtsp.Region", + "py_doc": "Region class" + }, + "members": { + "__init__": { + "type": "func", + "name": "Region", + "doc": { + "brief": "Construct a new Region object", + "param": { + "x": "region coordinate x", + "y": "region coordinate y", + "width": "region width", + "height": "region height", + "format": "region format", + "camera": "bind region to camera" + }, + "maixpy": "maix.rtsp.Region.__init__", + "maixcdk": "maix.rtsp.Region.Region", + "py_doc": "Construct a new Region object\n\nArgs:\n - x: region coordinate x\n - y: region coordinate y\n - width: region width\n - height: region height\n - format: region format\n - camera: bind region to camera\n" + }, + "args": [ + [ + "int", + "x", + null + ], + [ + "int", + "y", + null + ], + [ + "int", + "width", + null + ], + [ + "int", + "height", + null + ], + [ + "image::Format", + "format", + null + ], + [ + "camera::Camera *", + "camera", + null + ] + ], + "ret_type": null, + "static": false, + "def": "Region(int x, int y, int width, int height, image::Format format, camera::Camera *camera)" + }, + "get_canvas": { + "type": "func", + "name": "get_canvas", + "doc": { + "brief": "Return an image object from region", + "return": "image object", + "maixpy": "maix.rtsp.Region.get_canvas", + "py_doc": "Return an image object from region\n\nReturns: image object\n" + }, + "args": [], + "ret_type": "image::Image*", + "static": false, + "def": "image::Image *get_canvas()" + }, + "update_canvas": { + "type": "func", + "name": "update_canvas", + "doc": { + "brief": "Update canvas", + "return": "error code", + "maixpy": "maix.rtsp.Region.update_canvas", + "py_doc": "Update canvas\n\nReturns: error code\n" + }, + "args": [], + "ret_type": "err::Err", + "static": false, + "def": "err::Err update_canvas()" + } + }, + "def": "class Region" + }, "Rtsp": { "type": "class", "name": "Rtsp", @@ -17075,6 +17515,73 @@ "static": false, "def": "bool rtsp_is_start()", "py_def": "def rtsp_is_start(self) -> bool" + }, + "add_region": { + "type": "func", + "name": "add_region", + "doc": { + "brief": "return a region object, you can draw image on the region.", + "param": { + "x": "region coordinate x", + "y": "region coordinate y", + "width": "region width", + "height": "region height", + "format": "region format, support Format::FMT_BGRA8888 only" + }, + "return": "the reigon object", + "maixpy": "maix.rtsp.Rtsp.add_region", + "py_doc": "return a region object, you can draw image on the region.\n\nArgs:\n - x: region coordinate x\n - y: region coordinate y\n - width: region width\n - height: region height\n - format: region format, support Format::FMT_BGRA8888 only\n\n\nReturns: the reigon object\n" + }, + "args": [ + [ + "int", + "x", + null + ], + [ + "int", + "y", + null + ], + [ + "int", + "width", + null + ], + [ + "int", + "height", + null + ], + [ + "image::Format", + "format", + "image::Format::FMT_BGRA8888" + ] + ], + "ret_type": "rtsp::Region*", + "static": false, + "def": "rtsp::Region *add_region(int x, int y, int width, int height, image::Format format = image::Format::FMT_BGRA8888)" + }, + "update_region": { + "type": "func", + "name": "update_region", + "doc": { + "brief": "update and show region", + "return": "error code", + "maixpy": "maix.rtsp.Rtsp.update_region", + "py_doc": "update and show region\n\nReturns: error code\n" + }, + "args": [ + [ + "rtsp::Region &", + "region", + null + ] + ], + "ret_type": "err::Err", + "static": false, + "def": "err::Err update_region(rtsp::Region ®ion)" } }, "def": "class Rtsp" @@ -17239,7 +17746,7 @@ "ret_type": null, "static": false, "def": "Video(std::string path = std::string(), bool record = false, int interval = 33333, int width = -1, int height = -1, bool audio = false, int sample_rate = 44100, int channel = 1, bool open = true)", - "py_def": "def __init__(self, width: int = -1, height: int = -1, type: VideoType = ...) -> None" + "py_def": "def __init__(self, path: str = '', record: bool = False, interval: int = 33333, width: int = -1, height: int = -1, audio: bool = False, sample_rate: int = 44100, channel: int = 1, open: bool = True) -> None" }, "open": { "type": "func", @@ -17305,7 +17812,7 @@ "ret_type": "err::Err", "static": false, "def": "err::Err open(std::string path = std::string(), bool record = false, int interval = 33333, int width = -1, int height = -1, bool audio = false, int sample_rate = 44100, int channel = 1)", - "py_def": "def open(self, width: int = -1, height: int = -1, type: VideoType = ...) -> maix.err.Err" + "py_def": "def open(self, path: str = '', record: bool = False, interval: int = 33333, width: int = -1, height: int = -1, audio: bool = False, sample_rate: int = 44100, channel: int = 1) -> maix.err.Err" }, "close": { "type": "func", @@ -17342,7 +17849,8 @@ ], "ret_type": "err::Err", "static": false, - "def": "err::Err bind_camera(camera::Camera *camera)" + "def": "err::Err bind_camera(camera::Camera *camera)", + "py_def": "def bind_camera(self, camera: maix.camera.Camera) -> maix.err.Err" }, "record_start": { "type": "func", @@ -17365,7 +17873,8 @@ ], "ret_type": "err::Err", "static": false, - "def": "err::Err record_start(uint64_t record_time = -1)" + "def": "err::Err record_start(uint64_t record_time = -1)", + "py_def": "def record_start(self, record_time: int = -1) -> maix.err.Err" }, "record_finish": { "type": "func", @@ -17379,7 +17888,8 @@ "args": [], "ret_type": "err::Err", "static": false, - "def": "err::Err record_finish()" + "def": "err::Err record_finish()", + "py_def": "def record_finish(self) -> maix.err.Err" }, "capture": { "type": "func", @@ -17393,7 +17903,8 @@ "args": [], "ret_type": "image::Image*", "static": false, - "def": "image::Image *capture()" + "def": "image::Image *capture()", + "py_def": "def capture(self) -> maix.image.Image" }, "encode": { "type": "func", @@ -17455,7 +17966,8 @@ "args": [], "ret_type": "bool", "static": false, - "def": "bool is_recording()" + "def": "bool is_recording()", + "py_def": "def is_recording(self) -> bool" }, "is_opened": { "type": "func", diff --git a/maixpy/api/index.html b/maixpy/api/index.html index 51541c91..a9b507d4 100644 --- a/maixpy/api/index.html +++ b/maixpy/api/index.html @@ -114,7 +114,10 @@

MaixPy

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    MaixPy

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    MaixPy

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    show_colorbar

    err::Err show_colorbar(bool enable)
    +

    get_channel

    + + + + + + + + + + + + + + + + + + + + + + + + + +
    itemdoc
    typefunc
    briefGet channel of camera
    returnchannel number
    staticFalse
    +

    C++ defination code:

    + +
    int get_channel()
+

    set_resolution

    def set_resolution(self, width: int, height: int) -> maix.err.Err
diff --git a/maixpy/api/maix/comm.html b/maixpy/api/maix/comm.html
index 3c3f23b4..a2138c6b 100644
--- a/maixpy/api/maix/comm.html
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@@ -114,7 +114,10 @@ 
    MaixPy
    
 
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diff --git a/maixpy/api/maix/display.html b/maixpy/api/maix/display.html
index 83c47d98..9bd21f2e 100644
--- a/maixpy/api/maix/display.html
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@@ -700,6 +703,37 @@ 
    set_backlight
    
 
 
    void set_backlight(float value)
 
    
+
    get_backlight
    
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    typefunc
    briefGet display backlight
    returnvalue backlight value, float type, range is [0, 100]
    staticFalse
    
+
    C++ defination code:
    
+
+
    float get_backlight()
+
    
 
    set_hmirror
    
 
 
    def set_hmirror(self, en: bool) -> maix.err.Err
diff --git a/maixpy/api/maix/err.html b/maixpy/api/maix/err.html
index f5cda947..d80de530 100644
--- a/maixpy/api/maix/err.html
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@@ -114,7 +114,10 @@ 
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diff --git a/maixpy/api/maix/example.html b/maixpy/api/maix/example.html
index c266acc8..13e76670 100644
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@@ -114,7 +114,10 @@ 
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diff --git a/maixpy/api/maix/fs.html b/maixpy/api/maix/fs.html
index 89d6d837..50705681 100644
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diff --git a/maixpy/api/maix/i18n.html b/maixpy/api/maix/i18n.html
index 4ac0e01d..c3f36d3b 100644
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diff --git a/maixpy/api/maix/image.html b/maixpy/api/maix/image.html
index 386fb635..f89e6418 100644
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diff --git a/maixpy/api/maix/network.html b/maixpy/api/maix/network.html
index 1d304d10..861fdd9f 100644
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    maix.network
    
 This module is generated from MaixCDK
    
 
 
    Module
    
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    modulebrief
    wifimaix.network.wifi module
    
 
    Enum
    
 
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    Function
    
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    Class
    
                     
                     
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@@ -1669,7 +1672,7 @@ 
    forward_image
    
 
 
   param
-  img: input image
    mean: mean value, a list type, e.g. [0.485, 0.456, 0.406], default is empty list means not normalize.
    scale: scale value, a list type, e.g. [1/0.229, 1/0.224, 1/0.225], default is empty list means not normalize.
    fit: fit mode, if the image size of input not equal to model's input, it will auto resize use this fit method,
    default is image.Fit.FIT_FILL for easy coordinate calculation, but for more accurate result, use image.Fit.FIT_CONTAIN is better.
    
+  img: input image
    mean: mean value, a list type, e.g. [0.485, 0.456, 0.406], default is empty list means not normalize.
    scale: scale value, a list type, e.g. [1/0.229, 1/0.224, 1/0.225], default is empty list means not normalize.
    fit: fit mode, if the image size of input not equal to model's input, it will auto resize use this fit method,
    default is image.Fit.FIT_FILL for easy coordinate calculation, but for more accurate result, use image.Fit.FIT_CONTAIN is better.
    copy_result: If set true, will copy result to a new variable; else will use a internal memory, you can only use it until to the next forward.
    Default true to avoid problems, you can set it to false manually to make speed faster.
    
 
 
   return
@@ -1683,7 +1686,7 @@ 
    forward_image
    
 
 
    C++ defination code:
    
 
-
    tensor::Tensors *forward_image(image::Image &img, std::vector<float> mean = std::vector<float>(), std::vector<float> scale = std::vector<float>(), image::Fit fit = image::Fit::FIT_FILL)
+
    tensor::Tensors *forward_image(image::Image &img, std::vector<float> mean = std::vector<float>(), std::vector<float> scale = std::vector<float>(), image::Fit fit = image::Fit::FIT_FILL, bool copy_result = true)
 
    
 
    Object
    
 
@@ -1959,9 +1962,9 @@ 
    score
    
                     
diff --git a/maixpy/api/maix/nn/F.html b/maixpy/api/maix/nn/F.html
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diff --git a/maixpy/api/maix/peripheral.html b/maixpy/api/maix/peripheral.html
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diff --git a/maixpy/api/maix/peripheral/adc.html b/maixpy/api/maix/peripheral/adc.html
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diff --git a/maixpy/api/maix/peripheral/gpio.html b/maixpy/api/maix/peripheral/gpio.html
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diff --git a/maixpy/api/maix/peripheral/i2c.html b/maixpy/api/maix/peripheral/i2c.html
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diff --git a/maixpy/api/maix/peripheral/key.html b/maixpy/api/maix/peripheral/key.html
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diff --git a/maixpy/api/maix/peripheral/spi.html b/maixpy/api/maix/peripheral/spi.html
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  • network
+
    • 
 
  • nn
@@ -223,6 +226,118 @@ 
    RtspStreamType
    
 
    Variable
    
 
    Function
    
 
    Class
    
+
    Region
    
+
    • 
                 
    
+
+
+  
+  
+
+
+
+
+  
+  
+
+
+
    itemdoc
    briefRegion class
    
+
    C++ defination code:
    
+
+
    class Region
+
    
+
    __init__
    
+
+
+
+  
+  
+
+
+
+
+  
+  
+
+
+  
+  
+
+
+  
+  
+
+
+  
+  
+
+
+
    itemdoc
    typefunc
    briefConstruct a new Region object
    paramx: region coordinate x
    y: region coordinate y
    width: region width
    height: region height
    format: region format
    camera: bind region to camera
    staticFalse
    
+
    C++ defination code:
    
+
+
    Region(int x, int y, int width, int height, image::Format format, camera::Camera *camera)
+
    
+
    get_canvas
    
+
+
+
+  
+  
+
+
+
+
+  
+  
+
+
+  
+  
+
+
+  
+  
+
+
+  
+  
+
+
+
    itemdoc
    typefunc
    briefReturn an image object from region
    returnimage object
    staticFalse
    
+
    C++ defination code:
    
+
+
    image::Image *get_canvas()
+
    
+
    update_canvas
    
+
+
+
+  
+  
+
+
+
+
+  
+  
+
+
+  
+  
+
+
+  
+  
+
+
+  
+  
+
+
+
    itemdoc
    typefunc
    briefUpdate canvas
    returnerror code
    staticFalse
    
+
    C++ defination code:
    
+
+
    err::Err update_canvas()
+
    
 
    Rtsp
    
 
@@ -518,6 +633,72 @@ 
    rtsp_is_start
    C++ defination code:
    bool rtsp_is_start()
+
    
+
    add_region
    
+
    
 
 
 
 
    
+
+
+  
+  
+
+
+
+
+  
+  
+
+
+  
+  
+
+
+  
+  
+
+
+  
+  
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+
+  
+  
+
+
+
    itemdoc
    typefunc
    briefreturn a region object, you can draw image on the region.
    paramx: region coordinate x
    y: region coordinate y
    width: region width
    height: region height
    format: region format, support Format::FMT_BGRA8888 only
    returnthe reigon object
    staticFalse
    
+
    C++ defination code:
    
+
+
    rtsp::Region *add_region(int x, int y, int width, int height, image::Format format = image::Format::FMT_BGRA8888)
+
    
+
    update_region
    
+
+
+
+  
+  
+
+
+
+
+  
+  
+
+
+  
+  
+
+
+  
+  
+
+
+  
+  
+
+
+
    itemdoc
    typefunc
    briefupdate and show region
    returnerror code
    staticFalse
    
+
    C++ defination code:
    
+
+
    err::Err update_region(rtsp::Region &region)
 
    
 
                         
diff --git a/maixpy/api/maix/sys.html b/maixpy/api/maix/sys.html
index 91f2ae7d..e8a3689d 100644
--- a/maixpy/api/maix/sys.html
+++ b/maixpy/api/maix/sys.html
@@ -114,7 +114,10 @@ 
    MaixPy
    
 
  • example
    • 
 
  • app
    • 
 
  • util
    • 
-
  • network
    • 
+
  • network
+
    • 
 
  • nn
diff --git a/maixpy/api/maix/tensor.html b/maixpy/api/maix/tensor.html
index 66493720..3d15fef9 100644
--- a/maixpy/api/maix/tensor.html
+++ b/maixpy/api/maix/tensor.html
@@ -114,7 +114,10 @@ 
    MaixPy
    
 
  • example
    • 
 
  • app
    • 
 
  • util
    • 
-
  • network
    • 
+
  • network
+
    • 
 
  • nn
diff --git a/maixpy/api/maix/thread.html b/maixpy/api/maix/thread.html
index fc23802b..e30c75ff 100644
--- a/maixpy/api/maix/thread.html
+++ b/maixpy/api/maix/thread.html
@@ -114,7 +114,10 @@ 
    MaixPy
    
 
  • example
    • 
 
  • app
    • 
 
  • util
    • 
-
  • network
    • 
+
  • network
+
    • 
 
  • nn
diff --git a/maixpy/api/maix/time.html b/maixpy/api/maix/time.html
index 8c43d8f4..f9659695 100644
--- a/maixpy/api/maix/time.html
+++ b/maixpy/api/maix/time.html
@@ -114,7 +114,10 @@ 
    MaixPy
    
 
  • example
    • 
 
  • app
    • 
 
  • util
    • 
-
  • network
    • 
+
  • network
+
    • 
 
  • nn
diff --git a/maixpy/api/maix/touchscreen.html b/maixpy/api/maix/touchscreen.html
index 92427a0a..05de444e 100644
--- a/maixpy/api/maix/touchscreen.html
+++ b/maixpy/api/maix/touchscreen.html
@@ -114,7 +114,10 @@ 
    MaixPy
    
 
  • example
    • 
 
  • app
    • 
 
  • util
    • 
-
  • network
    • 
+
  • network
+
    • 
 
  • nn
diff --git a/maixpy/api/maix/util.html b/maixpy/api/maix/util.html
index 1853443c..4f022365 100644
--- a/maixpy/api/maix/util.html
+++ b/maixpy/api/maix/util.html
@@ -114,7 +114,10 @@ 
    MaixPy
    
 
  • example
    • 
 
  • app
    • 
 
  • util
    • 
-
  • network
    • 
+
  • network
+
    • 
 
  • nn
diff --git a/maixpy/api/maix/video.html b/maixpy/api/maix/video.html
index c7bfbd5a..0835897a 100644
--- a/maixpy/api/maix/video.html
+++ b/maixpy/api/maix/video.html
@@ -114,7 +114,10 @@ 
    MaixPy
    
 
  • example
    • 
 
  • app
    • 
 
  • util
    • 
-
  • network
    • 
+
  • network
+
    • 
 
  • nn
@@ -304,7 +307,7 @@ 
    Video
    
 
    • 
 
    __init__
    
 
-
    def __init__(self, width: int = -1, height: int = -1, type: VideoType = ...) -> None
+
    def __init__(self, path: str = '', record: bool = False, interval: int = 33333, width: int = -1, height: int = -1, audio: bool = False, sample_rate: int = 44100, channel: int = 1, open: bool = True) -> None
 
    
 
@@ -338,7 +341,7 @@ 
    __init__
    open
    
 
-
    def open(self, width: int = -1, height: int = -1, type: VideoType = ...) -> maix.err.Err
+
    def open(self, path: str = '', record: bool = False, interval: int = 33333, width: int = -1, height: int = -1, audio: bool = False, sample_rate: int = 44100, channel: int = 1) -> maix.err.Err
 
    
 
    
 
 
 
    
@@ -405,6 +408,9 @@ 
    close
    
 
    void close()
 
    
 
    bind_camera
    
+
+
    def bind_camera(self, camera: maix.camera.Camera) -> maix.err.Err
+
    
 
    
 
    
@@ -440,6 +446,9 @@ 
    bind_camera
    
 
    err::Err bind_camera(camera::Camera *camera)
 
    
 
    record_start
    
+
+
    def record_start(self, record_time: int = -1) -> maix.err.Err
+
    
 
    
 
 
    
@@ -475,6 +484,9 @@ 
    record_start
    
 
    err::Err record_start(uint64_t record_time = -1)
 
    
 
    record_finish
    
+
+
    def record_finish(self) -> maix.err.Err
+
    
 
    
 
 
    
@@ -506,6 +518,9 @@ 
    record_finish
    
 
    err::Err record_finish()
 
    
 
    capture
    
+
+
    def capture(self) -> maix.image.Image
+
    
 
    
 
 
    
@@ -613,6 +628,9 @@ 
    decode
    
 
    image::Image *decode(video::VideoStream &stream)
 
    
 
    is_recording
    
+
+
    def is_recording(self) -> bool
+
    
 
    
 
 
    
diff --git a/maixpy/api/sidebar.yaml b/maixpy/api/sidebar.yaml
index b921733a..2c492497 100644
--- a/maixpy/api/sidebar.yaml
+++ b/maixpy/api/sidebar.yaml
@@ -50,6 +50,10 @@ items:
         label: util
     -   collapsed: false
         file: maix/network.md
+        items:
+        -   collapsed: false
+            file: maix/network/wifi.md
+            label: wifi
         label: network
     -   collapsed: false
         file: maix/nn.md
diff --git a/maixpy/doc/en/audio/recognize.html b/maixpy/doc/en/audio/recognize.html
new file mode 100644
index 00000000..c0f4a6c9
--- /dev/null
+++ b/maixpy/doc/en/audio/recognize.html
@@ -0,0 +1,316 @@
+
+
+
+
+
+
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+        
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+        
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+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+    
+    
+    MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
+    
+    
+    
+        
+    
+        
+    
+        
+    
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+        
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+
+
\ No newline at end of file
diff --git a/maixpy/doc/en/basic/app.html b/maixpy/doc/en/basic/app.html
new file mode 100644
index 00000000..d1e3a2ac
--- /dev/null
+++ b/maixpy/doc/en/basic/app.html
@@ -0,0 +1,342 @@
+
+
+
+
+
+
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+        
+        
+        
+        
+        
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+        
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+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+    
+    
+    App development and app stores - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
+            
    
+                
    
+                    
    
+                        
    
+                            
+                            
    App development and app stores
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
+                                
+                            
+                            
+                        
    
+                        
    
+                            
+                            
+                            
+                        
    
+                        
    
+                    
    
+                    
    
+                        
+                        
+                    
    
+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    Introduction to Application Ecosystem
    
+
    In order to make the development board ready to use out of the box, make it easy for users to use without barriers, enable developers to share their interesting applications, and provide effective channels for receiving feedback and even profits, we have launched a simple application framework, including:
    
+
      
+
    • App Store: Developers can upload and share applications, which users can download and use without needing to develop them. Developers can receive certain cash rewards (from MaixHub or user tips).
      • 
+
    • Pre-installed Apps: The official provides some commonly used applications, such as color block detection, AI object detection tracking, QR code scanning, face recognition, etc., which users can use directly or use as serial module.
      • 
+
    • MaixPy + MaixCDK Software Development Kit: Using MaixPy or MaixCDK, you can quickly develop embedded AI visual and audio applications in Python or C/C++, efficiently realizing your interesting ideas.
      • 
+
    • MaixVision Desktop Development Tool: A brand-new desktop code development tool for quick start, debugging, running, uploading code, installing applications to devices, one-click development, and even support for graphical block-based programming, making it easy for elementary school students to get started.
      • 
+
    
+
    Everyone is welcome to pay attention to the App Store and share their applications in the store to build a vibrant community together.
    
+
    Packaging Applications
    
+
    Using MaixPy + MaixVison makes it easy to develop, package, and install applications:
    
+
      
+
    • Develop applications with MaixPy in MaixVision, which can be a single file or a project directory.
      • 
+
    • Connect the device.
      • 
+
    • Click the "Install" button at the bottom-left corner of MaixVision, fill in the basic information of the application in the popup window, where the ID is used to identify the application. A device cannot simultaneously install different applications with the same ID, so the ID should be different from the IDs of applications on MaixHub. The application name can be duplicated. You can also upload an icon.
      • 
+
    • Click "Package Application" to package the application into an installer. If you want to upload it to the MaixHub App Store, you can use this packaged file.
      • 
+
    • Click "Install Application" to install the packaged application on the device.
      • 
+
    • Disconnect from the device, and you will see your application in the device's app selection interface. Simply click on it to run the application.
      • 
+
    
+
    
+
    If you develop with MaixCDK, you can use maixcdk release to package an application. Refer to the MaixCDK documentation for specifics.
    
+
    
+
    Exiting Applications
    
+
    If you have developed a relatively simple application without a user interface and a back button, you can exit the application by pressing the device's function button (usually labeled as USER, FUNC, or OK) or the back button (if available, MaixCAM does not have this button by default).
    
+
    Basic Guidelines for Application Development
    
+
      
+
    • Since touchscreens are standard, it is recommended to create a simple interface with touch interaction. You can refer to examples for implementation methods.
      • 
+
    • Avoid making interfaces and buttons too small, as MaixCAM default screen is 2.3 inches with 552x368 resolution and high PPI. Make sure fingers can easily tap without making mistakes.
      • 
+
    • Implement a simple serial interaction for the main functionality of each application based on the serial protocol (see example). This way, users can directly use it as a serial module. For instance, in a face detection application, you can output coordinates via serial port when a face is detected.
      • 
+
    
+
+                        
+                    
    
+                
    
+                
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+            
    
+            
    
+                
    
+                    
    
+                            
+                    
    
+                
    
+            
    
+        
    
+    
    
+    
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+
\ No newline at end of file
diff --git a/maixpy/doc/en/basic/app_usage.html b/maixpy/doc/en/basic/app_usage.html
new file mode 100644
index 00000000..4d99e94a
--- /dev/null
+++ b/maixpy/doc/en/basic/app_usage.html
@@ -0,0 +1,316 @@
+
+
+
+
+
+
+    
+    
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+    
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+        
+        
+    
+    
+    Application User Guide - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
+            
    
+                
    
+                    
    
+                        
    
+                            
+                            
    Application User Guide
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
+                                
+                            
+                            
+                        
    
+                        
    
+                            
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+                    
    
+                    
    
+                        
+                        
+                    
    
+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    After powering on, it will automatically enter the application selection interface, where various built-in applications are available in the MaixHub App Store. Here you can find descriptions and instructions for using each corresponding application.
    
+
    The commonly used settings are Settings -> Language, as well as Settings -> WiFi. The App Store application can be used for upgrading and installing applications. Once connected to a WiFi network that has internet access, you can scan and install applications from the MaixHub App Store.
    
+
    Moreover, applications you develop can also be uploaded to the MaixHub App Store to share with others. High-quality and outstanding applications will receive official red envelope rewards, and excellent applications will gain recognition and support from everyone.
    
+
    Whether it's a simple application for collecting sensor data or a complex function application, let's work together to create more interesting things!
    
+
+                        
+                    
    
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\ No newline at end of file
diff --git a/maixpy/doc/en/basic/linux_basic.html b/maixpy/doc/en/basic/linux_basic.html
new file mode 100644
index 00000000..98b84cdf
--- /dev/null
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@@ -0,0 +1,361 @@
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+    
+    Basic Knowledge of Linux - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
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+            
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+                            
+                            
    Basic Knowledge of Linux
    
+                            
+                        
    
+                        
    
+                            
      
+                            
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+                        
    
+                        
    
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+                    
    
+                        
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+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    Introduction
    
+
    For beginners just starting out, you can skip this chapter for now and come back to it after mastering the basics of MaixPy development.
    
+
    The latest MaixPy supports running Linux on the MaixCAM hardware, so the underlying MaixPy development is based on the Linux system. Although Sipeed has done a lot of work for developers with MaixPy, making it possible to enjoy using it without knowledge of the Linux system, there might be situations where some low-level operations are necessary or for the convenience of developers unfamiliar with Linux. In this section, we will cover some basic Linux knowledge.
    
+
    Why Linux System is Needed
    
+
    Specific reasons can be researched individually. Here are a few examples in simplified terms that may not sound too technical but are easy for beginners to understand:
    
+
      
+
    • In microcontrollers, our program is usually a loop, but with Linux, we can run multiple programs simultaneously, each appearing to run independently, where the actual execution is handled by the operating system.
      • 
+
    • With a large community of Linux-based developers, required functionalities and drivers can be easily found without the need to implement them from scratch.
      • 
+
    • Linux offers a rich set of accompanying software tools for convenient development and debugging. Some Linux common tools not mentioned in this tutorial can theoretically be used as well.
      • 
+
    
+
    File System
    
+
    What is a file system?
    
+
      
+
    • Similar to a computer's file system, Linux manages hardware disks using a file system, making it easy for us to read and write data to the disk.
      • 
+
    • For students who have learned about microcontrollers but not familiar with file system development, imagine having a Flash or TF card where data can be read and written through APIs even after power loss. However, Flash has read/write limitations, requiring a program to ensure its longevity. A file system is like a mature program that manages the Flash space and read/write operations. By calling the file system's APIs, we can significantly reduce development work and ensure stability and security with proven programs.
      • 
+
    
+
    Transferring Files between Computer and Device (Development Board)
    
+
    Since the device has Linux and a file system, how do we send files to it?
    
+
    For MaixPy, we offer MaixVision for file management in future versions. Before that, you can use the following method:
    
+
    Here we mainly discuss transferring files through the network. Other methods can be explored on your own by searching for "transferring files to Linux":
    
+
      
+
    • Ensure the device and computer are connected to the same local network, for example:
        
+
      • When the MaixCAM's USB port is connected to the computer, a virtual network card is created which can be seen in the device manager on the computer, and the device's IP can be found in the device's Settings -> Device Information.
        • 
+
      • Alternatively, connect to the same local network on the device through Settings -> WiFi.
        • 
+
      
+
      • 
+
    • Use SCP or SFTP protocols on the computer to transfer files to the device. There are many specific software options and methods, such as:
        
+
      • On Windows, you can use WinSCP, FileZilla, or the scp command.
        • 
+
      • On Linux, use FileZilla or the scp command.
        • 
+
      • On Mac, use FileZilla or the scp command.
        • 
+
      
+
      • 
+
    
+
    Terminal and Command Line
    
+
    The terminal is a tool for communicating with and operating the Linux system, similar to Windows' cmd or PowerShell.
    
+
    For example, we can enter ssh root@maixcam-xxxx.local in the Terminal tool on a Windows system with PowerShell or on a Linux system. You can find the specific name in the device's Settings->Device Information, which allows us to connect to the device through the terminal (both username and password are root).
    
+
    Then, we can operate the device by entering commands. For instance, the ls command can list the files in the current directory of the device, while cd is used to switch to a different directory (similar to clicking folders in file management on a computer),
    
+
+
    cd /     # Switch to the root directory
+ls       # Display all files in the current directory (root directory)
+
    
+
    This will display similar content as below:
    
+
+
    bin         lib         media       root        tmp
+boot        lib64       mnt         run         usr
+dev         linuxrc     opt         sbin        var
+etc         lost+found  proc        sys
+
    
+
    For more command learning, please search for Linux command line usage tutorials on your own. This is just to introduce beginners to basic concepts so that when developers mention them, they can understand what they mean.
    
+
+                        
+                    
    
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+    
    
+    
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+    
+        
+    
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+    
+        
+    
+        
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+        
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+        
+    
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+
\ No newline at end of file
diff --git a/maixpy/doc/en/basic/maixpy_upgrade.html b/maixpy/doc/en/basic/maixpy_upgrade.html
new file mode 100644
index 00000000..5020d936
--- /dev/null
+++ b/maixpy/doc/en/basic/maixpy_upgrade.html
@@ -0,0 +1,326 @@
+
+
+
+
+
+
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+    
+    
+    Update MaixPy. - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
+            
    
+                
    
+                    
    
+                        
    
+                            
+                            
    Update MaixPy.
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
+                                
+                            
+                            
+                        
    
+                        
    
+                            
+                            
+                            
+                        
    
+                        
    
+                    
    
+                    
    
+                        
+                        
+                    
    
+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    There are two methods to begin with. If you are new to this and want to keep things simple, you can try using the pre-installed MaixPy firmware on the TF card that comes with the device. You can consider updating it later.
    
+
    However, since we don't know when the TF card you received was manufactured, it is recommended to update the system.
    
+
    Updating the System Directly
    
+
    Follow the steps in Upgrading and Flashing the System to upgrade to the latest system, which already includes the newest MaixPy firmware.
    
+
    Updating Only the MaixPy Firmware
    
+
    Check the latest version information and release notes in the MaixPy repository release page. It includes details about the MaixPy firmware and the system information corresponding to each version.
    
+
    If you prefer not to update the system (since system changes are usually minimal, you can check if there are any system-related changes in the MaixPy update notes before deciding whether to update the system), you can simply update the MaixPy firmware.
    
+
      
+
    • Set up WiFi in the settings to connect the system to the internet.
      • 
+
    • Click on Update MaixPy in the settings app to proceed with the update.
      • 
+
    
+
    
+
    If you are comfortable using the terminal, you can also update MaixPy by using pip install MaixPy -U in the terminal.
    
+
    
+
+                        
+                    
    
+                
    
+                
+                
    
+            
    
+            
    
+                
    
+                    
    
+                            
+                    
    
+                
    
+            
    
+        
    
+    
    
+    
+    
+    
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+        
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+        
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+        
+    
+        
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+        
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+        
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+        
+    
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+
+
\ No newline at end of file
diff --git a/maixpy/doc/en/basic/maixvision.html b/maixpy/doc/en/basic/maixvision.html
new file mode 100644
index 00000000..e51e16e9
--- /dev/null
+++ b/maixpy/doc/en/basic/maixvision.html
@@ -0,0 +1,364 @@
+
+
+
+
+
+
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+    
+    
+    MaixVision - MaixPy Programming + Graphical Block Programming - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
+            
    
+                
    
+                    
    
+                        
    
+                            
+                            
    MaixVision - MaixPy Programming + Graphical Block Programming
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
+                                
+                            
+                            
+                        
    
+                        
    
+                            
+                            
+                            
+                        
    
+                        
    
+                    
    
+                    
    
+                        
+                        
+                    
    
+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    Introduction
    
+
    MaixVision is a developer programming tool specifically designed for the Maix ecosystem, supporting MaixPy programming and graphical block programming. It also supports online running, debugging, and real-time image preview, allowing the synchronization of the device display screen for easy debugging and development.
    
+
    It also supports packaging applications and installing them on devices, making it convenient for users to generate and install applications with a single click.
    
+
    Additionally, it integrates some handy development tools, such as file management, threshold editors, QR code generators, and more.
    
+
    Using MaixPy Programming and Online Running
    
+
    By following the steps in the Quick Start, we can easily use MaixPy programming and run programs online.
    
+
    Real-time Image Preview
    
+
    MaixPy provides a display module, which can display images on the screen. When calling the show method of the display module, the image will be sent to MaixVision for display in real-time, for example:
    
+
+
    from maix import display, camera
+
+cam = camera.Camera(640, 480)
+disp = display.Display()
+while 1:
+    disp.show(cam.read())
+
    
+
    Here, we capture an image using the camera, and then display it on the screen using disp.show(), which will also transmit the image to MaixVision for display.
    
+
    By clicking the Pause button in the top right corner, the transmission of the image to MaixVision display will stop.
    
+
    Computing the Histogram of an Image
    
+
    In the previous step, we could see the image in real-time on MaixVision. By selecting a region with the mouse, we can view the histogram of that area below the image. Choosing different color representation methods allows us to see histograms of different color channels. This feature helps us find suitable parameters when working on image processing algorithms.
    
+
    Using Graphical Block Programming
    
+
    Currently in development, stay tuned for updates.
    
+
    Distinguishing Between Device File System and Computer File System
    
+
    An important concept to grasp here is distinguishing between the Computer File System and Device File System:
    
+
      
+
    • Computer File System: This operates on the computer. Opening files or projects in MaixVision accesses files stored on the computer. Any changes are automatically saved to the computer's file system.
      • 
+
    • Device File System: When a program runs, it sends files to the device for execution. Therefore, files accessed within the code are read from the device's file system.
      • 
+
    
+
    A common issue arises when a file is saved on the computer at D:\data\a.jpg, and then the file is referenced on the device like img = image.load("D:\data\a.jpg"). This file cannot be found on the device because there is no D:\data\a.jpg file stored there.
    
+
    For specific instructions on transferring computer files to the device, please refer to the following section.
    
+
    Transferring Files to the Device
    
+
    Currently in development. In the meantime, you can use alternative tools:
    
+
    Begin by knowing the device's IP address or device name, which MaixVision can search for, or check in the device's Settings -> System Information, where you might find something similar to maixcam-xxxx.local or 192.168.0.123. The username and password are both root, and the file transfer protocol is SFTP with port number 22.
    
+
    There are various user-friendly software options available for different operating systems:
    
+
    For Windows
    
+
    Use tools like WinSCP or FileZilla to connect to the device via SFTP. Provide the necessary device and account information to establish the connection.
    
+
    For further guidance, perform a quick online search.
    
+
    For Linux
    
+
    Use the scp command in the terminal to transfer files to the device, for example:
    
+
+
    scp /path/to/your/file.py root@maixcam-xxxx.local:/root
+
    
+
    For Mac
    
+
      
+
    • Method 1: Use the scp command in the terminal to transfer files to the device, for example:
      • 
+
    
+
+
    scp /path/to/your/file.py root@maixcam-xxxx.local:/root
+
    
+
      
+
    • Method 2: Use tools like FileZilla to connect to the device, transfer the files to the device, choose the SFTP protocol, fill in the device and account information, and connect.
      • 
+
    
+
+                        
+                    
    
+                
    
+                
+                
    
+            
    
+            
    
+                
    
+                    
    
+                            
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+                
    
+            
    
+        
    
+    
    
+    
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+        
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+        
+    
+        
+    
+        
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+    
+        
+    
+
+
+
\ No newline at end of file
diff --git a/maixpy/doc/en/basic/os.html b/maixpy/doc/en/basic/os.html
new file mode 100644
index 00000000..d022990f
--- /dev/null
+++ b/maixpy/doc/en/basic/os.html
@@ -0,0 +1,333 @@
+
+
+
+
+
+
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+    
+    
+    Upgrade and burn system. - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
+            
    
+                
    
+                    
    
+                        
    
+                            
+                            
    Upgrade and burn system.
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
+                                
+                            
+                            
+                        
    
+                        
    
+                            
+                            
+                            
+                        
    
+                        
    
+                    
    
+                    
    
+                        
+                        
+                    
    
+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    Introduction
    
+
    If you have purchased the official (Sipeed) package with a TF card, typically the system has already been pre-programmed at the factory and can be used directly without further steps.
    
+
    However, to avoid using an outdated version of the pre-programmed system, it is highly recommended to first upgrade to the latest system following the tutorial.
    
+
    How to Confirm if System Upgrade is Needed
    
+
      
+
    • Upon booting up to the main menu, click on Settings, then Device Info to check the system's version number.
      
+
      • 
+
    • Visit the MaixPy Release History page to review the update logs, which contain information on MaixPy firmware and system image updates. If there are significant updates after your current version, it is advisable to upgrade.
      
+
      
+
      If the latest system update only includes routine MaixPy firmware updates compared to your current system, you may choose not to upgrade. You can simply update MaixPy separately in Settings under Update MaixPy.
      
+
      
+
      • 
+
    
+
    Obtaining the Latest System
    
+
    Visit the MaixPy Release page to find the latest system image file, such as maixcam_os_20240401_maixpy_v4.1.0.xz.
    
+
    Alternate link:
    
+
+
    Burning the System Image to MaixCAM
    
+
    Refer to the MaixCAM System Flashing Guide.
    
+
+                        
+                    
    
+                
    
+                
    
+                    
+                    
+                
    
+                
    
+            
    
+            
    
+                
    
+                    
    
+                            
+                    
    
+                
    
+            
    
+        
    
+    
    
+    
+    
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+
+
+
\ No newline at end of file
diff --git a/maixpy/doc/en/basic/python.html b/maixpy/doc/en/basic/python.html
new file mode 100644
index 00000000..917c011a
--- /dev/null
+++ b/maixpy/doc/en/basic/python.html
@@ -0,0 +1,353 @@
+
+
+
+
+
+
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+    
+    
+    Basic Knowledge of Python - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
+            
    
+                
    
+                    
    
+                        
    
+                            
+                            
    Basic Knowledge of Python
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
+                                
+                            
+                            
+                        
    
+                        
    
+                            
+                            
+                            
+                        
    
+                        
    
+                    
    
+                    
    
+                        
+                        
+                    
    
+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    The tutorial documentation of MaixPy does not delve into specific Python syntax tutorials because there are already too many excellent Python tutorials available. Here, we only introduce what needs to be learned, provide guidance on directions and paths.
    
+
    Introduction to Python
    
+
    Python is an interpreted, object-oriented, dynamically typed high-level programming language.
    
+
      
+
    • Interpreted: It does not require compilation, runs directly. The advantage is rapid development, while a minor drawback is the slower execution speed due to code interpretation on each run. However, most often, the bottleneck lies in the developer's code rather than the language itself.
      • 
+
    • Object-oriented: It supports object-oriented programming, allowing the definition of classes and objects. Compared to procedural languages, it is easier to organize code. For more details, please search independently.
      • 
+
    • Dynamically typed: Variables do not need to declare types, can be assigned directly, and the type will be automatically determined based on the assignment. This reduces code volume, but can also lead to type errors, requiring the developer's attention.
      • 
+
    
+
    In conclusion, for developers unfamiliar with Python, it is very easy to get started as Python offers plenty of ready-to-use libraries, a large developer community, short application development cycles, making it highly worthwhile to learn!
    
+
    Python Environment Setup
    
+
    You can install Python on your computer according to the Python tutorial you are following for learning.
    
+Alternatively, you can connect to a device via MaixVision on MaixVision and then run the program on the development board.
    
+
    What Python Basics are Needed to Use MaixPy?
    
+
      
+
    • Basic concepts of Python.
      • 
+
    • Basic concepts of object-oriented programming.
      • 
+
    • Basic syntax of Python, including:
        
+
      • Tab indentation alignment syntax.
        • 
+
      • Variables, functions, classes, objects, comments, etc.
        • 
+
      • Control statements such as if, for, while, etc.
        • 
+
      • Modules and importing modules.
        • 
+
      • Basic data types such as int, float, str, list, dict, tuple, etc.
        • 
+
      • Difference between bytes and str, and conversion.
        • 
+
      • Exception handling, try-except.
        • 
+
      • Common built-in functions like print, open, len, range, etc.
        • 
+
      • Common built-in modules like os, sys, time, random, math, etc.
        • 
+
      
+
      • 
+
    
+
    Mastering the above foundational knowledge will enable you to smoothly program with MaixPy. With the help of subsequent tutorials and examples, if unsure, you can refer to search engines, official documentation, or ask ChatGPT to successfully complete your development tasks.
    
+
    For Developers Experienced in Another Object-Oriented Programming Language
    
+
    If you are already proficient in an object-oriented language like C++/Java/C#, you simply need to quickly review Python syntax before starting to use it.
    
+
    You can refer to resources like Runoob Tutorial or the Python Official Tutorial.
    
+
    Alternatively, you can explore individual developers' blogs, such as Wow! It's Python.
    
+
    For Developers with C Language Experience but No Object-Oriented Programming Experience
    
+
    If you only know C and lack understanding of object-oriented concepts, you can start by learning about object-oriented programming concepts before diving into Python. It's relatively quick and you can search for video tutorials for entry-level guidance.
    
+
    After following introductory video tutorials, you can then refer to documentation tutorials such as Runoob Tutorial or the Python Official Tutorial to get started!
    
+
    Once you have acquired the basic knowledge, you can start using MaixPy for programming based on the documentation and examples.
    
+
    For Programming Beginners
    
+
    If you have never dealt with programming before, you will need to start learning Python from scratch. Python is also quite suitable as an introductory language. You can search for video tutorials for specific guidance.
    
+
    After mastering the basic syntax, you will be able to use MaixPy for programming by following examples provided.
    
+
+                        
+                    
    
+                
    
+                
+                
    
+            
    
+            
    
+                
    
+                    
    
+                            
+                    
    
+                
    
+            
    
+        
    
+    
    
+    
+    
+    
+        
+    
+        
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+    
+        
+    
+        
+    
+        
+    
+        
+    
+
+
+
\ No newline at end of file
diff --git a/maixpy/doc/en/basic/python_pkgs.html b/maixpy/doc/en/basic/python_pkgs.html
new file mode 100644
index 00000000..145fb63a
--- /dev/null
+++ b/maixpy/doc/en/basic/python_pkgs.html
@@ -0,0 +1,331 @@
+
+
+
+
+
+
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+    
+    
+    Add extra Python packages. - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
+            
    
+                
    
+                    
    
+                        
    
+                            
+                            
    Add extra Python packages.
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
+                                
+                            
+                            
+                        
    
+                        
    
+                            
+                            
+                            
+                        
    
+                        
    
+                    
    
+                    
    
+                        
+                        
+                    
    
+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    Introduction
    
+
    MaixPy is based on the Python language and provides a wide range of functionalities and APIs for embedded application development. In addition to this, you can also use other Python packages to extend its functionality.
    
+
    Installing Additional Python Packages
    
+
    
+
    Please note that not all Python packages are supported. Generally, only pure Python packages are supported, not C extension packages. C extension packages may require you to manually cross-compile them on a computer (which is quite complex and won't be covered here).
    
+
    
+
    Method 1: Installing Using Python Code
    
+
    You can install the package you need in MaixVision using Python code, for example:
    
+
+
    import os
+os.system("pip install package_name")
+
    
+
    To update a package, you can use:
    
+
+
    import os
+os.system("pip install --upgrade package_name")
+
    
+
    Method 2: Installing Using the Terminal and pip Command
    
+
    Follow the terminal usage method introduced in Linux Basics and use pip install package_name to install the package you need.
    
+
+                        
+                    
    
+                
    
+                
+                
    
+            
    
+            
    
+                
    
+                    
    
+                            
+                    
    
+                
    
+            
    
+        
    
+    
    
+    
+    
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+
+
+
\ No newline at end of file
diff --git a/maixpy/doc/en/faq.html b/maixpy/doc/en/faq.html
new file mode 100644
index 00000000..5e7c97f2
--- /dev/null
+++ b/maixpy/doc/en/faq.html
@@ -0,0 +1,351 @@
+
+
+
+
+
+
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+    
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+        
+    
+    
+    MaixPy FAQ (Frequently Asked Questions) - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
+            
    
+                
    
+                    
    
+                        
    
+                            
+                            
    MaixPy FAQ (Frequently Asked Questions)
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
+                                
+                            
+                            
+                        
    
+                        
    
+                            
+                            
+                            
+                        
    
+                        
    
+                    
    
+                    
    
+                        
+                        
+                    
    
+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    This page lists common questions and solutions related to MaixPy. If you encounter any issues, please search for answers here first.
    
+If you cannot find an answer on this page, you can post your question with detailed steps on the MaixHub Discussion Forum.
    
+
    MaixVision cannot find the device?
    
+
    First, confirm whether the connection method is WiFi or USB cable.
    
+WiFi:
    
+
      
+
    • Ensure that WiFi is correctly connected and has obtained an IP address. You can view the ip in Settings -> Device Info or Settings -> WiFi.
      • 
+
    
+
    USB Cable:
    
+
      
+
    • Ensure that the device is connected to the computer via a Type-C data cable, and the device is powered on and has entered the function selection interface.
      • 
+
    • Ensure that the device driver is installed:
        
+
      • On Windows, check if there is a USB virtual network adapter device in Device Manager. If there is an exclamation mark, it means the driver is not installed properly. Follow the instructions in Quick Start to install the driver.
        • 
+
      • On Linux, you can check if there is a usb0 device by running ifconfig or ip addr, or check all USB devices with lsusb. Linux already includes the driver, so if the device is not recognized, check the hardware connection, ensure the device system is up-to-date, and ensure the device has booted up properly.
        • 
+
      • On macOS, follow the same steps as Linux.
        • 
+
      
+
      • 
+
    • Additionally, check the quality of the USB cable and try using a high-quality cable.
      • 
+
    • Additionally, check the quality of the computer's USB port. For example, some small form factor PCs have poor EMI design on their USB ports, and connecting a good quality USB hub may allow the device to work. You can also try a different USB port or a different computer.
      • 
+
    
+
    MaixVision camera example shows choppy video
    
+
    The default GC4653 camera has a maximum frame rate of 30 frames per second (FPS). Under normal circumstances, the MaixVision display should not appear choppy to the naked eye. If choppiness occurs, first consider transmission issues:
    
+
      
+
    • Check the network connection quality, such as WiFi.
      • 
+
    • If using a USB connection, check the USB cable quality, computer USB port quality, and try using a different computer, USB port, or USB cable for comparison.
      • 
+
    
+
    What is the difference between MaixPy v4 and v1/v3?
    
+
      
+
    • MaixPy v4 uses the Python language and is the culmination of the experiences from v1 and v3, offering better supporting software and ecosystem, more features, simpler usage, and more comprehensive documentation. While the hardware has significant improvements, the pricing is even more affordable compared to the other two versions. Additionally, it provides compatibility with the K210 user experience and API, making it easier for users to migrate quickly from v1 to v4.
      • 
+
    • v1 used the Micropython language and had many limitations, such as limited third-party library support. Additionally, due to the hardware performance limitations of the Maix-I (K210), there was not enough memory, limited AI model support, and lack of hardware acceleration for many codecs.
      • 
+
    • v3 also used the Python language and was based on the Maix-II-Dock (v831) hardware. However, the hardware had limited AI model support, and the Allwinner ecosystem was not open enough, with an incomplete API. This version was only intended for use with the Maix-II-Dock (v831) and will not receive further updates.
      • 
+
    
+
    Does MaixPy currently only support MaixCAM, or can it work with other boards using the same chipset?
    
+
    MaixPy currently only supports the MaixCAM series of boards. Other boards using the same chipset, including Sipeed's boards like the LicheeRV-Nano, are not supported. It is strongly recommended not to attempt using MaixPy with other boards, as it may result in device damage (such as smoke or screen burn), for which you will be solely responsible.
    
+
    In the future, Sipeed's Maix series of products will continue to be supported by MaixPy. If you have any needs that cannot be met by MaixCAM, you can post your requirements on the MaixHub Discussion Forum or send an email to support@sipeed.com.
    
+
    Can I use a camera or screen other than the officially bundled ones?
    
+
    It is not recommended to use cameras or screens other than the officially bundled ones, unless you have sufficient software and hardware knowledge and experience. Otherwise, it may result in device damage.
    
+
    The officially bundled accessories have been fine-tuned for both software and hardware, ensuring the best performance and allowing for out-of-the-box usage. Other accessories may have different interfaces, drivers, and software, requiring you to calibrate them yourself, which is an extremely complex process.
    
+
    However, if you are an expert, we welcome you to submit a pull request!
    
+
+                        
+                    
    
+                
    
+                
+                
    
+            
    
+            
    
+                
    
+                    
    
+                            
+                    
    
+                
    
+            
    
+        
    
+    
    
+    
+    
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+        
+    
+
+
+
\ No newline at end of file
diff --git a/maixpy/doc/en/index.html b/maixpy/doc/en/index.html
index 853945a7..34b199e7 100644
--- a/maixpy/doc/en/index.html
+++ b/maixpy/doc/en/index.html
@@ -44,10 +44,10 @@
         
     
     
-    MaixPy
+    MaixPy Quick Start - MaixPy
     
     
-    
+    
 
 
 
@@ -100,39 +100,67 @@ 
    MaixPy
    
                     
                 
                 
 
             
@@ -147,7 +175,7 @@ 
    MaixPy
    
                     
    
                         
    
                             
-                            
    
+                            
    MaixPy Quick Start
    
                             
                         
    
                         
    
@@ -161,10 +189,6 @@ 
    
                                 
                             
                             
-                                
-                                    2024-03-07
-                                
-                            
                         
    
                         
    
                             
@@ -186,7 +210,170 @@ 
    
                     
    
                     
    
                         
-                            
+                            
    
+    
    
+    The only official website for MaixPy:
+    
+        wiki.sipeed.com/maixpy
+    
+    
    
+    
    
+    MaixPy examples and source code:
+    
+        github.com/sipeed/MaixPy
+    
+    
    
+    
+
    
+
    
+
    
+
    For an introduction to MaixPy, please see the MaixPy official website homepage
    
+
    
+
    Get a MaixCAM Device
    
+
    Purchase the MaixCAM development board from the Sipeed Taobao or Sipeed AliExpress store.
    
+
    It is recommended to purchase the bundle with a TF card, camera, 2.3-inch touchscreen, case, Type-C data cable, Type-C one-to-two mini board, and 4P serial port socket+cable, which will be convenient for later use and development. The following tutorials assume that you already have these accessories (including the screen).
    
+
    If you did not purchase a TF card, you will need to prepare a TF card reader to flash the system.
    
+
    
+
     Note that currently only the MaixCAM development board is supported. Other development boards with the same chip are not supported, including Sipeed's development boards with the same chip. Please be careful not to purchase the wrong board, which could result in unnecessary waste of time and money.
    
+
    
+
    Getting Started
    
+
    Prepare the TF Image Card and Insert it into the Device
    
+
    If the package you purchased includes a TF card, it already contains the factory image. If the TF card was not installed in the device at the factory, you will first need to carefully open the case (be careful not to tear the ribbon cables inside) and then insert the TF card. Additionally, since the firmware from the factory may be outdated, you can follow the instructions on Upgrading and Flashing the System to upgrade the system to the latest version.
    
+
    If you did not purchase a TF card, you need to flash the system onto a self-provided TF card. Please refer to Upgrading and Flashing the System for the flashing method, and then install it on the board.
    
+
    Power On
    
+
    Use a Type-C data cable to connect the MaixCAM device and power it on. Wait for the device to boot up and enter the function selection interface.
    
+
    maixcam_font
    
+
    If the screen does not display:
    
+
      
+
    • Please confirm that you purchased the bundled TF card. If you confirm that you have a TF card and it is inserted into the device, you can try updating to the latest system.
      • 
+
    • If you did not purchase the TF card bundle, you need to follow the instructions in Upgrading and Flashing the System to flash the latest system onto the TF card.
      • 
+
    • Also, ensure that the screen and camera cables are not loose. The screen cable can easily come off when opening the case, so be careful.
      • 
+
    
+
    Connect to the Network
    
+
    For the first run, you need to connect to the network, as you will need it later to activate the device and use the IDE.
    
+
      
+
    • On the device, click Settings, select WiFi, and click the Scan button to start scanning for nearby WiFi. You can click several times to refresh the list.
      • 
+
    • Find your WiFi hotspot. If you don't have a router, you can use your phone as a hotspot.
      • 
+
    • Enter the password and click the Connect button to connect.
      • 
+
    • Wait for the IP address to be obtained. This may take 10 to 30 seconds. If the interface does not refresh, you can exit the WiFi function and re-enter to check, or you can also see the IP information in Settings -> Device Info.
      • 
+
    
+
    Update the Runtime Libraries
    
+
    This step is very important!!! If this step is not done properly, other applications and functions may not work (e.g., they may crash).
    
+
      
+
    • First, ensure that you have completed the previous step of connecting to WiFi and have obtained an IP address to access the internet.
      • 
+
    • On the device, click Settings, and select Install Runtime Libraries.
      • 
+
    • After the installation is complete, you will see that it has been updated to the latest version. Then exit.
      • 
+
    
+
    If it shows Request failed or 请求失败 (Request failed), please first check if the network is connected. You need to be able to connect to the internet. If it still doesn't work, please take a photo and contact customer service for assistance.
    
+
    Use Built-in Applications
    
+
    Many applications are built-in, such as Find Blobs, AI Detector, Line Follower, etc. For example, Find Blobs:
    
+
+
    Please explore other applications on your own. More applications will be updated in the future. For usage documentation and application updates, please see the MaixHub App Store.
    
+
    Note: The applications only include a part of the functionality that MaixPy can achieve. Using MaixPy, you can create even more features.
    
+
    Use as a Serial Module
    
+
    
+
    If you want to use the device as the main controller (or if you don't understand what a serial module is), you can skip this step.
    
+
    
+
    The built-in applications can be used directly as serial modules, such as Find Blobs, Find Faces, Find QR Codes, etc.
    
+
    Usage:
    
+
      
+
    • Hardware connection: You can connect the device to the Type-C one-to-two mini board, which allows you to connect the device via serial to your main controller, such as Arduino, Raspberry Pi, STM32, etc.
      • 
+
    • Open the application you want to use, such as QR code recognition. When the device scans a QR code, it will send the result to your main controller via serial.
      • 
+
    
+
    
+
    The serial baud rate is 115200, the data format is 8N1, and the protocol follows the Maix Serial Communication Protocol Standard. You can find the corresponding application introduction on the MaixHub APP to view the protocol.
    
+
    
+
    Prepare to Connect the Computer and Device
    
+
    To allow the computer (PC) and the device (MaixCAM) to communicate later, we need to have them on the same local area network. Two methods are provided:
    
+
      
+
    • Method 1 (strongly recommended): Wireless connection. The device uses WiFi to connect to the same router or WiFi hotspot as the computer. You can connect to your WiFi in the device's Settings -> WiFi Settings.
      • 
+
    • Method 2: Wired connection. The device connects to the computer via a USB cable, and the device will act as a virtual USB network card, allowing it to be on the same local area network as the computer via USB.
      • 
+
    
+
    
+
    Method 2 may encounter some problems due to the need for USB and drivers, so it is recommended to start with WiFi instead. You can find common issues in the FAQ.
    
+
    
+
    
+Method 2 has different setup methods on different computer systems, click to expand
+
      
+
    • Linux: No additional setup is required. Just plug in the USB cable. Use ifconfig or ip addr to view the usb0 network card. Note that the IP address you see here, e.g., 10.131.167.100, is the computer's IP. The device's IP is the last octet changed to 1, i.e., 10.131.167.1.
      • 
+
    • Windows: You can first confirm if a RNDIS device has been added in the Network Adapters. If so, you can use it directly. Otherwise, you need to manually install the RNDIS network card driver:
        
+
      • Open the computer's Device Manager.
        • 
+
      • Then find a RNDIS device with a question mark under Other Devices, right-click and select Update Driver Software.
        • 
+
      • Select Browse my computer for driver software.
        • 
+
      • Select Let me pick from a list of available drivers on my computer.
        • 
+
      • Select Network Adapters, then click Next.
        • 
+
      • On the left, select Microsoft, on the right, select Remote NDIS Compatible Device, then click Next, and select Yes.
        • 
+
      • After installation, the effect is as follows:
        
+RNDIS
        • 
+
      
+
      • 
+
    • MacOS: No additional setup is required. Just plug in the USB cable. Use ifconfig or ip addr to view the usb0 network card. Note that the IP address you see here, e.g., 10.131.167.100, is the computer's IP. The device's IP is the last octet changed to 1, i.e., 10.131.167.1.
      • 
+
    
+
    
+
    
+
    Prepare the Development Environment
    
+
      
+
    • Download and install MaixVision.
      • 
+
    • Connect the device and computer with a Type-C cable, open MaixVision, and click the "Connect" button in the bottom left corner. It will automatically search for devices. After a short wait, you will see the device, and you can click the connect button next to it to connect to the device.
      • 
+
    
+
    If no device is detected, you can also manually enter the device's IP address in the device's Settings -> Device Info. You can also find solutions in the FAQ.
    
+
    After a successful connection, the function selection interface on the device will disappear, and the screen will turn black, releasing all hardware resources. If there is still an image displayed, you can disconnect and reconnect.
    
+
    Here is a video example of using MaixVision:
    
+
    
+
    Run Examples
    
+
    Click Example Code on the left side of MaixVision, select an example, and click the Run button in the bottom left to send the code to the device for execution.
    
+
    For example:
    
+
      
+
    • hello_maix.py: Click the Run button, and you will see messages printed from the device in the MaixVision terminal, as well as an image in the upper right corner.
      • 
+
    • camera_display.py: This example will open the camera and display the camera view on the screen.
      • 
+
    
+
+
    from maix import camera, display, app
+
+disp = display.Display()          # Construct a display object and initialize the screen
+cam = camera.Camera(640, 480)     # Construct a camera object, manually set the resolution to 640x480, and initialize the camera
+while not app.need_exit():        # Keep looping until the program exits (you can exit by pressing the function key on the device or clicking the stop button in MaixVision)
+    img = cam.read()              # Read the camera view and save it to the variable img, you can print(img) to print the details of img
+    disp.show(img)                # Display img on the screen
+
    
+
      
+
    • yolov5.py will detect objects in the camera view, draw bounding boxes around them, and display them on the screen. It supports detection of 80 object types. For more details, please see YOLOv5 Object Detection.
      • 
+
    
+
    You can try other examples on your own.
    
+
    
+
    If you encounter image display stuttering when using the camera examples, it may be due to poor network connectivity, or the quality of the USB cable or the host's USB being too poor. You can try changing the connection method or replacing the cable, host USB port, or computer.
    
+
    
+
    Install Applications on the Device
    
+
    The above examples run code on the device, but the code will stop running when MaixVision is disconnected. If you want the code to appear in the boot menu, you can package it as an application and install it on the device.
    
+
    Click the Install App button in the bottom left corner of MaixVision, fill in the application information, and the application will be installed on the device. Then you will be able to see the application on the device.
    
+ You can also choose to package the application and share your application to the MaixHub App Store.
    
+
    
+
    The default examples do not explicitly write an exit function, so you can exit the application by pressing the function key on the device. (For MaixCAM, it is the user key.)
    
+
    
+
    If you want the program to start automatically on boot, you can set it in Settings -> Boot Startup.
    
+
    Next Steps
    
+
    If you like what you've seen so far, please be sure to give the MaixPy open-source project a star on GitHub (you need to log in to GitHub first). Your star and recognition is the motivation for us to continue maintaining and adding new features!
    
+
    Up to this point, you've experienced the usage and development workflow. Next, you can learn about MaixPy syntax and related features. Please follow the left sidebar to learn. If you have any questions about using the API, you can look it up in the API documentation.
    
+
    It's best to learn with a specific purpose in mind, such as working on an interesting small project. This way, the learning effect will be better. You can share your projects and experiences on the MaixHub Share Plaza and receive cash rewards!
    
+
    Share and Discuss
    
+
      
+
    • MaixHub Project and Experience Sharing: Share your projects and experiences, and receive cash rewards. The basic requirements for receiving official rewards are:
        
+
      • Reproducible: A relatively complete process for reproducing the project.
        • 
+
      • Showcase: No detailed project reproduction process, but an attractive project demonstration.
        • 
+
      • Bug-solving experience: Sharing the process and specific solution for resolving a particular issue.
        • 
+
      
+
      • 
+
    • MaixPy Official Forum (for asking questions and discussion)
      • 
+
    • Telegram: MaixPy
      • 
+
    • MaixPy Source Code Issues: MaixPy issue
      • 
+
    • For business cooperation or bulk purchases, please contact support@sipeed.com.
      • 
+
    
+
                         
                     
    
                 
    
@@ -196,8 +383,8 @@ 
    
                     
                     
                 
 
             
diff --git a/maixpy/doc/en/peripheral/gpio.html b/maixpy/doc/en/peripheral/gpio.html
new file mode 100644
index 00000000..52e81607
--- /dev/null
+++ b/maixpy/doc/en/peripheral/gpio.html
@@ -0,0 +1,316 @@
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+    
+    MaixPy
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diff --git a/maixpy/doc/en/peripheral/i2c.html b/maixpy/doc/en/peripheral/i2c.html
new file mode 100644
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+    
+    MaixPy
+    
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diff --git a/maixpy/doc/en/peripheral/pwm.html b/maixpy/doc/en/peripheral/pwm.html
new file mode 100644
index 00000000..86ef178c
--- /dev/null
+++ b/maixpy/doc/en/peripheral/pwm.html
@@ -0,0 +1,316 @@
+
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+    
+    MaixPy
+    
+    
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diff --git a/maixpy/doc/en/peripheral/spi.html b/maixpy/doc/en/peripheral/spi.html
new file mode 100644
index 00000000..baf5bb5e
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@@ -0,0 +1,316 @@
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diff --git a/maixpy/doc/en/peripheral/uart.html b/maixpy/doc/en/peripheral/uart.html
new file mode 100644
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+++ b/maixpy/doc/en/peripheral/uart.html
@@ -0,0 +1,316 @@
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diff --git a/maixpy/doc/en/peripheral/wdt.html b/maixpy/doc/en/peripheral/wdt.html
new file mode 100644
index 00000000..c628f269
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+++ b/maixpy/doc/en/peripheral/wdt.html
@@ -0,0 +1,316 @@
+
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new file mode 100644
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+++ b/maixpy/doc/en/pro/compile_os.html
@@ -0,0 +1,311 @@
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diff --git a/maixpy/doc/en/sidebar.yaml b/maixpy/doc/en/sidebar.yaml
index 79dbab37..dabc8295 100644
--- a/maixpy/doc/en/sidebar.yaml
+++ b/maixpy/doc/en/sidebar.yaml
@@ -1,83 +1,127 @@
 items:
 -   file: README.md
-    label: Brief
--   collapsed: false
-    items:
-    -   collapsed: false
-        file: maix/err.md
-        label: err
-    -   collapsed: false
-        file: maix/tensor.md
-        label: tensor
-    -   collapsed: false
-        file: maix/image.md
-        label: image
-    -   collapsed: false
-        file: maix/camera.md
-        label: camera
-    -   collapsed: false
-        file: maix/display.md
-        label: display
-    -   collapsed: false
-        file: maix/comm.md
-        label: comm
-    -   collapsed: false
-        file: maix/thread.md
-        label: thread
-    -   collapsed: false
-        file: maix/fs.md
-        label: fs
-    -   collapsed: false
-        file: maix/time.md
-        label: time
-    -   collapsed: false
-        file: maix/i18n.md
-        label: i18n
-    -   collapsed: false
-        file: maix/protocol.md
-        label: protocol
-    -   collapsed: false
-        file: maix/example.md
-        label: example
-    -   collapsed: false
-        file: maix/app.md
-        label: app
-    -   collapsed: false
-        file: maix/nn.md
-        items:
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-            file: maix/nn/F.md
-            label: F
-        label: nn
-    -   collapsed: false
-        file: maix/peripheral.md
-        items:
-        -   collapsed: false
-            file: maix/peripheral/timer.md
-            label: timer
-        -   collapsed: false
-            file: maix/peripheral/wdt.md
-            label: wdt
-        -   collapsed: false
-            file: maix/peripheral/pwm.md
-            label: pwm
-        -   collapsed: false
-            file: maix/peripheral/gpio.md
-            label: gpio
-        -   collapsed: false
-            file: maix/peripheral/spi.md
-            label: spi
-        -   collapsed: false
-            file: maix/peripheral/uart.md
-            label: uart
-        -   collapsed: false
-            file: maix/peripheral/i2c.md
-            label: i2c
-        -   collapsed: false
-            file: maix/peripheral/adc.md
-            label: adc
-        label: peripheral
-    -   collapsed: false
-        file: maix/touchscreen.md
-        label: touchscreen
-    label: maix
+    label: Quick Start
+-   file: faq.md
+    label: FAQ 
+
+-   label: Base
+-   file: basic/os.md
+    label: Burning system
+-   file: basic/app_usage.md
+    label: App uses
+-   file: basic/maixpy_upgrade.md
+    label: Update MaixPy
+-   file: basic/maixvision.md
+    label: MaixVision uses
+-   file: basic/python.md
+    label: Python syntax
+-   file: basic/linux_basic.md
+    label: Linux fundamentals
+-   file: basic/python_pkgs.md
+    label: Add python packages
+-   file: basic/app.md
+    label: Apps development
+
+-   label: Basic images and algorithms
+-   file: vision/display.md
+    label: Screen uses
+-   file: vision/camera.md
+    label: Camera uses
+-   file: vision/image_ops.md
+    label: Image control
+-   file: vision/find_blobs.md
+    label: Finding color blocks
+-   file: vision/qrcode.md
+    label: QRcode identity
+-   file: vision/apriltag.md
+    label: AprilTag identity
+
+-   label: AI Vision
+-   file: vision/ai.md
+    label: AI vision knowledge
+-   file: vision/classify.md
+    label: AI object classify
+-   file: vision/yolov5.md
+    label: YOLOv5 object detect
+-   file: vision/face_recognition.md
+    label: Face detect
+-   file: vision/body_key_points.md
+    label: Human critical point detection
+-   file: vision/self_learn_classifier.md
+    label: Self-learning classifier
+-   file: vision/self_learn_detector.md
+    label: Self-learning detector
+-   file: vision/object_track.md
+    label: Object tracking and counting
+-   file: vision/ocr.md
+    label: OCR 
+-   file: vision/maixhub_train.md
+    label: MaixHub online AI training
+-   file: vision/custmize_model.md
+    label: Custom model
+
+
+-   label: AI audio
+-   file: audio/record.md
+    label: Audio record
+-   file: audio/play.md
+    label: Play audio
+-   file: audio/classifier.md
+    label: AI voice classifier
+-   file: audio/keyword.md
+    label: Keyword recognize
+-   file: audio/recognize.md
+    label: Real-time voice recognize
+-   file: audio/synthesis.md
+    label: Speech synthesis
+
+-   label: Video
+-   file: video/record.md
+    label: Video record
+-   file: video/play.md
+    label: Play video
+-   file: video/jpeg_streaming.md
+    label: JPEG stream
+-   file: video/rtsp.md
+    label: RTSP stream
+
+
+-   label: On-chip peripherals
+-   file: peripheral/gpio.md
+    label: GPIO
+-   file: peripheral/uart.md
+    label: UART
+-   file: peripheral/i2c.md
+    label: I2C
+-   file: peripheral/pwm.md
+    label: PWM
+-   file: peripheral/spi.md
+    label: SPI
+-   file: peripheral/wdt.md
+    label: WDT watchdog
+
+-   label: Off-chip modules
+-   file: modules/acc.md
+    label: Accelerometer
+-   file: modules/temp_hum.md
+    label: Temperature and humidity
+-   file: modules/tof.md
+    label: TOF
+-   file: modules/thermal_cam.md
+    label: Thermal imaging
+
+-   label: Advanced
+-   file: source_code/contribute.md
+    label: Contribute
+-   file: source_code/build.md
+    label: Build source code
+-   file: source_code/faq.md
+    label: MaixPy Source FAQ
+-   file: source_code/add_c_module.md
+    label: Write in C/C++
+-   file: source_code/maixcdk.md
+    label: MaixCDK develop
+-   file: pro/compile_os.md
+    label: Build firmware
+
+
diff --git a/maixpy/doc/en/source_code/add_c_module.html b/maixpy/doc/en/source_code/add_c_module.html
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+    
+    
+    Adding a C/C++ Module to MaixPy - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
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+                            
+                            
    Adding a C/C++ Module to MaixPy
    
+                            
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+                        
    
+                            
      
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+                        
    
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+                    
    
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+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    Introduction
    
+
    Sometimes we need to execute a function efficiently, and the speed of Python cannot meet the requirements. In such cases, we can use C/C++ or other compiled languages to implement the function.
    
+
    General Function Encapsulation
    
+
    If the function you want to encapsulate does not depend on other functionalities of MaixPy, you can directly use the general method of adding C/C++ modules with Python, such as ffi, ctype, etc. You can search for relevant methods online.
    
+
    
+
    Welcome to contribute methods via PR
    
+
    
+
    If Your Module Needs to Depend on Other Basic APIs of MaixPy
    
+
    You need to learn how to compile and use MaixCDK first, because MaixPy is generated from MaixCDK APIs. Some functionalities in MaixPy are also available in MaixCDK, and then... TODO
    
+
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diff --git a/maixpy/doc/en/source_code/build.html b/maixpy/doc/en/source_code/build.html
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+++ b/maixpy/doc/en/source_code/build.html
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+
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+
+    
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+    
+        
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+    
+    
+    MaixPy develop source code guide - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
+            
    
+                
    
+                    
    
+                        
    
+                            
+                            
    MaixPy develop source code guide
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
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+                    
    
+                    
    
+                        
+                        
+                    
    
+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    Get source code
    
+
+
    git clone https://github.com/sipeed/MaixPy
+cd MaixPy
+
    
+
    Build and pack to wheel
    
+
+
    python setup.py bdist_wheel maixcam
+
    
+
    maixcam Can be replaced with other board config, see setup.py 's platform_names variable.
    
+
    After build success, you will find wheel file in dist directory, use pip install -U MaixPy****.wheel on your device to install or upgrade.
    
+
    
+
    python setup.py bdist_wheel maixcam --skip-build will not execute build command and only pack wheel, so you can use maixcdk menuconfig and maixcdk build first to customize building.
    
+
    
+
    Build manually
    
+
+
    maixcdk build
+
    
+
    Run test after modify source code
    
+
      
+
    • First, build source code by
      • 
+
    
+
+
    maixcdk build
+
    
+
      
+
    • If build for PC self(platform linux):
      • 
+
    
+
    Then execute ./run.sh your_test_file_name.py to run python script.
    
+
+
    cd test
+./run.sh examples/hello_maix.py
+
    
+
      
+
    • If cross compile for borad:
        
+
      • The fastest way is copy maix dir to device's /usr/lib/python3.11/site-packages/ directory, then run script on device.
        • 
+
      • Or pack wheel and install on device by pip install -U MaixPy****.wheel, then run script on device.
        • 
+
      
+
      • 
+
    
+
    Preview documentation locally
    
+
    Documentation in docs directory, use Markdown format, you can use teedoc to generate web version documentation.
    
+
    And the API doc is generated when build MaixPy firmware, if you don't build MaixPy, the API doc will be empty.
    
+
+
    pip install teedoc -U
+cd docs
+teedoc install -i https://pypi.tuna.tsinghua.edu.cn/simple
+teedoc serve
+
    
+
    Then visit http://127.0.0.1:2333 to preview documentation on web browser.
    
+
    For developers who want to contribute
    
+
    See MaixPy develop source code guide
    
+
    If you encounter any problems when use source code, please refer to FAQ first.
    
+
+                        
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+    
+    
+    Contributing to MaixPy Documentation Modification and Code Contribution - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
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+                            
+                            
    Contributing to MaixPy Documentation Modification and Code Contribution
    
+                            
+                        
    
+                        
    
+                            
      
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+                    
    
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+                    
    
+                    
    
+                        
+                            
    Contributing to MaixPy Documentation Modification
    
+
      
+
    • Click the "Edit this page" button in the top right corner of the documentation you want to modify to enter the GitHub source documentation page.
      • 
+
    • Make sure you are logged in to your GitHub account.
      • 
+
    • Click the pencil icon in the top right corner of the GitHub preview documentation page to modify the content.
      • 
+
    • GitHub will prompt you to fork a copy to your own repository. Click the "Fork" button.
      • 
+
    
+
    
+
    This step forks the MaixPy source code repository to your own account, allowing you to freely modify it.
    
+
    
+
      
+
    • Modify the documentation content, then fill in the modification description at the bottom of the page, and click "Commit changes".
      • 
+
    • Then find the "Pull requests" button in your repository and click to create a new Pull request.
      • 
+
    • In the pop-up page, fill in the modification description and click "Submit Pull request". Others and administrators can then see your modifications on the Pull requests page.
      • 
+
    • Wait for the administrator to review and approve, and your modifications will be merged into the MaixPy source code repository.
      • 
+
    • After the merge is successful, the documentation will be automatically updated to the MaixPy official documentation.
      • 
+
    
+
    
+
    Due to CDN caching, it may take some time to see the update. For urgent updates, you can contact the administrator for manual refreshing.
    
+You can also visit en.wiki.sipeed.com/maixpy to view the GitHub Pages service version, which is updated in real-time without caching.
    
+
    
+
    Contributing to MaixPy Code Contribution
    
+
      
+
    • Visit the MaixPy code repository address: github.com/sipeed/MaixPy
      • 
+
    • Before modifying the code, it is best to create an issue first, describing the content you want to modify to let others know your ideas and plans, so that everyone can participate in the modification discussion and avoid duplication of effort.
      • 
+
    • Click the "Fork" button in the top right corner to fork a copy of the MaixPy code repository to your own account.
      • 
+
    • Then clone a copy of the code from your account to your local machine.
      • 
+
    • After modifying the code, commit it to your repository.
      • 
+
    • Then find the "Pull requests" button in your repository and click to create a new Pull request.
      • 
+
    • In the pop-up page, fill in the modification description and click "Submit Pull request". Others and administrators can then see your modifications on the Pull requests page.
      • 
+
    • Wait for the administrator to review and approve, and your modifications will be merged into the MaixPy source code repository.
      • 
+
    
+
    
+
    Note that most of the MaixPy code is automatically generated from MaixCDK, so if you modify the C/C++ source code, you may need to modify this repository first.
    
+
    
+
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+    
+    MaixPy Source Code FAQ - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
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+                    
    
+                        
    
+                            
+                            
    MaixPy Source Code FAQ
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
+                                
+                            
+                            
+                                
+                                    2024-04-26
+                                
+                            
+                        
    
+                        
    
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+                        
    
+                    
    
+                    
    
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+                        
+                            
    subprocess.CalledProcessError: Command '('lsb_release', '-a')' returned non-zero exit status 1.
    
+
    Edit /usr/bin/lsb_release as root, change the first line from #!/usr/bin/python3 to python3.
    
+
    Then compile again and it should work.
    
+
    ImportError: arg(): could not convert default argument 'format: maix::image::Format' in method '<class 'maix._maix.camera.Camera'>.init' into a Python object (type not registered yet?)
    
+
    Pybind11 need you to register image::Format first, then you can use it in camera::Camera, to we must fist define image::Format in generated build/maixpy_wrapper.cpp source file.
    
+
    To achieve this, edit components/maix/headers_priority.txt, the depended on should be placed before the one use it.
    
+e.g.
    
+
+
    maix_image.hpp
+maix_camera.hpp
+
    
+
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+        
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+        
+        
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+        
+        
+    
+    
+    Switching to MaixCDK for C/C++ Application Development - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
+            
    
+                
    
+                    
    
+                        
    
+                            
+                            
    Switching to MaixCDK for C/C++ Application Development
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
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+                    
    
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+                        
+                        
+                    
    
+                    
    
+                        
+                    
    
+                    
    
+                        
+                            
    In addition to developing with MaixPy, there is also a corresponding C/C++ SDK available, called MaixCDK.
    
+
    Introduction to MaixCDK
    
+
    MaixPy is built on top of MaixCDK, and most of MaixPy's APIs are automatically generated based on MaixCDK's APIs. Therefore, any functionality available in MaixPy is also included in MaixCDK.
    
+If you are more familiar with C/C++ programming or require higher performance, you can use MaixCDK for development.
    
+
    Using MaixCDK
    
+
    The MaixCDK code repository is located at github.com/sipeed/MaixCDK, where you can find the MaixCDK code and documentation.
    
+
+                        
+                    
    
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+    MaixPy Video Stream JPEG Streaming / Sending Images to Server - MaixPy
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+                                
    DateVersionAuthorUpdate content
    2024-04-031.0.0neucrack
+                                                    
+                                                        Initial document
+                                                    
+                                                    
    
+                            
+                        
+                        
+                    
+                    
    
+                        
+                            
    Introduction
    
+
    Sometimes it is necessary to send images to a server or push video from a camera to a server. Here, we provide the simplest method, which is to compress images into JPEG format and send them one by one to the server.
    
+
    Note, this is a very basic method and not a formal way to stream video. It is also not suitable for high-resolution, high-frame-rate video streams, as it involves sending images one by one. For more efficient video streaming, please use the RTSP or RTMP modules discussed later.
    
+
    How to Use
    
+
+
    from maix import image
+import requests
+
+# create image
+img = image.Image(640, 480, image.Format.FMT_RGB)
+# draw something
+img.draw_rect(60, 60, 80, 80, image.Color.from_rgb(255, 0, 0))
+
+# convert to jpeg
+jpeg = img.to_format(image.Format.FMT_JPEG) # image.Format.FMT_PNG
+# get jpeg bytes
+jpeg_bytes = jpeg.to_bytes()
+
+# faster way, borrow memory from jpeg object,
+# but be careful, when jpeg object is deleted, jpeg_bytes object MUST NOT be used, or program will crash
+# jpeg_bytes = jpeg.to_bytes(copy = False)
+
+# send image binary bytes to server
+url = "http://192.168.0.123:8080/upload"
+res = requests.post(url, data=jpeg_bytes)
+print(res.status_code)
+print(res.text)
+
    
+
    As you can see, the image is first converted into JPEG format, and then the binary data of the JPEG image is sent to the server via TCP.
    
+
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+    
+    Basic Knowledge of AI Vision - MaixPy
+    
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+    
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+    
    
+        
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+                            
    Basic Knowledge of AI Vision
    
+                            
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+                        
    
+                            
      
+                            
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+                                    2024-04-03
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+                    
    
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+                        
+                            Update history
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+                                
    DateVersionAuthorUpdate content
    2024-04-031.0.0neucrack
+                                                    
+                                                        Initial documentation
+                                                    
+                                                    
    
+                            
    
+                        
    
+                        
+                    
    
+                    
    
+                        
+                            
    Introduction
    
+
    If you don't have an AI background, you can first read What is Artificial Intelligence (AI) and Machine Learning to understand the basic concepts of AI before learning about AI.
    
+
    Then, the visual AI we use is generally based on the deep neural network learning method. If you are interested, you can check out Deep Neural Network (DNN) Basics.
    
+
    Using Visual AI in MaixPy
    
+
    Using visual AI in MaixPy is very simple. By default, commonly used AI models are provided, and you can use them directly without having to train the models yourself. You can find the maixcam models in the MaixHub Model Library.
    
+
    Additionally, the underlying APIs have been well-encapsulated, and you only need to make simple calls to implement them.
    
+
    If you want to train your own model, you can start with MaixHub Online Training. On the online platform, you can train models just by clicking, without the need to purchase expensive machines, set up complex development environments, or write code, making it very suitable for beginners and also for experienced users who are too lazy to read code.
    
+
    Generally, once you have obtained the model file, you can transfer it to the device and call the MaixPy API to use it. The specific calling methods are discussed in the following sections.
    
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+    MaixPy Apriltag Recognition - MaixPy
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    MaixPy Apriltag Recognition
    
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    DateVersionAuthorUpdate content
    2024-04-031.0.0lxowalle
+                                                    
+                                                        Initial documentation
+                                                    
+                                                    
    
+                            
    
+                        
    
+                        
+                    
    
+                    
    
+                        
+                            
    Before reading this article, make sure you are familiar with how to develop with MaixPy. For more details, please read MaixVision -- MaixPy Programming + Graphical Block Programming.
    
+
    Introduction
    
+
    This article introduces how to use MaixPy to recognize Apriltag labels.
    
+
    Using MaixPy to Recognize Apriltag Labels
    
+
    MaixPy's maix.image.Image provides the find_apriltags method, which can be used to recognize Apriltag labels.
    
+
    How to Recognize Apriltag Labels
    
+
    A simple example of recognizing Apriltag labels and drawing bounding boxes:
    
+
+
    from maix import image, camera, display
+
+cam = camera.Camera()
+disp = display.Display()
+
+families = image.ApriltagFamilies.TAG36H11
+x_scale = cam.width() / 160
+y_scale = cam.height() / 120
+
+while 1:
+    img = cam.read()
+
+    new_img = img.resize(160, 120)
+    apriltags = new_img.find_apriltags(families = families)
+    for a in apriltags:
+        corners = a.corners()
+
+        for i in range(4):
+            corners[i][0] = int(corners[i][0] * x_scale)
+            corners[i][1] = int(corners[i][1] * y_scale)
+        x = int(a.x() * x_scale)
+        y = int(a.y() * y_scale)
+        w = int(a.w() * x_scale)
+        h = int(a.h() * y_scale)
+
+        for i in range(4):
+            img.draw_line(corners[i][0], corners[i][1], corners[(i + 1) % 4][0], corners[(i + 1) % 4][1], image.COLOR_RED)
+        img.draw_string(x + w, y, "id: " + str(a.id()), image.COLOR_RED)
+        img.draw_string(x + w, y + 15, "family: " + str(a.family()), image.COLOR_RED)
+
+    disp.show(img)
+
    
+
    Steps:
    
+
      
+
    1. Import the image, camera, and display modules
      
+
+
      from maix import image, camera, display
+
      
+
      2. 
+
    2. Initialize the camera and display
      
+
+
      cam = camera.Camera()
+disp = display.Display()
+
      
+
      3. 
+
    3. Get the image from the camera and display it
      
+
+
      while 1:
+    img = cam.read()
+    disp.show(img)
+
      
+
      4. 
+
    4. Call the find_apriltags method to recognize Apriltag labels in the camera image
      
+
+
      new_img = img.resize(160, 120)
+apriltags = new_img.find_apriltags(families = families)
+
      
+
        
+
      • img is the camera image obtained through cam.read()
        • 
+
      • img.resize(160, 120) is used to scale down the image to a smaller size, allowing the algorithm to compute faster with a smaller image
        • 
+
      • new_img.find_apriltags(families = families) is used to find Apriltag labels, and the query results are saved in apriltags for further processing. The families parameter is used to select the Apriltag family, defaulting to image.ApriltagFamilies.TAG36H11
        • 
+
      
+
      5. 
+
    5. Process the recognized label results and display them on the screen
      
+
+
      for a in apriltags:
+    # Get position information (and map coordinates to the original image)
+    x = int(a.x() * x_scale)
+    y = int(a.y() * y_scale)
+    w = int(a.w() * x_scale)
+    corners = a.corners()
+    for i in range(4):
+        corners[i][0] = int(corners[i][0] * x_scale)
+        corners[i][1] = int(corners[i][1] * y_scale)
+
+    # Display
+    for i in range(4):
+        img.draw_line(corners[i][0], corners[i][1], corners[(i + 1) % 4][0], corners[(i + 1) % 4][1], image.COLOR_RED)
+        img.draw_string(x + w, y, "id: " + str(a.id()), image.COLOR_RED)
+        img.draw_string(x + w, y + 15, "family: " + str(a.family()), image.COLOR_RED)
+        img.draw_string(x + w, y + 30, "rotation : " + str(180 * a.rotation() // 3.1415), image.COLOR_RED)
+
      
+
        
+
      • Iterate through the members of apriltags, which is the result of scanning Apriltag labels through img.find_apriltags(). If no labels are found, the members of apriltags will be empty.
        • 
+
      • x_scale and y_scale are used to map coordinates. Since new_img is a scaled-down image, the coordinates of the Apriltag need to be mapped to be drawn correctly on the original image img.
        • 
+
      • a.corners() is used to get the coordinates of the four vertices of the detected label, and img.draw_line() uses these four vertex coordinates to draw the shape of the label.
        • 
+
      • img.draw_string is used to display the label content, where a.x() and a.y() are used to get the x and y coordinates of the top-left corner of the label, a.id() is used to get the label ID, a.family() is used to get the label family type, and a.rotation() is used to get the rotation angle of the label.
        • 
+
      
+
      6. 
+
    
+
    Common Parameter Explanations
    
+
    Here are explanations for common parameters. If you can't find parameters to implement your application, you may need to consider using other algorithms or extending the required functionality based on the current algorithm's results.
    
+
+
+
+  
+  
+  
+
+
+
+
+  
+  
+  
+
+
+  
+  
+  
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+
    ParameterDescriptionExample
    roiSet the rectangular region for the algorithm to compute. roi=[x, y, w, h], where x and y represent the coordinates of the top-left corner of the rectangle, and w and h represent the width and height of the rectangle. The default is the entire image.Compute the region with coordinates (50,50) and a width and height of 100:
    img.find_apriltags(roi=[50, 50, 100, 100])
    familiesApriltag label family typeScan for labels from the TAG36H11 family:
    img.find_apriltags(families = image.ApriltagFamilies.TAG36H11)
    
+
    This article introduces common methods. For more API information, please refer to the image section of the API documentation.
    
+
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diff --git a/maixpy/doc/en/vision/assets/custmize_model1.png b/maixpy/doc/en/vision/assets/custmize_model1.png
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diff --git a/maixpy/doc/en/vision/body_key_points.html b/maixpy/doc/en/vision/body_key_points.html
new file mode 100644
index 00000000..83b7742f
--- /dev/null
+++ b/maixpy/doc/en/vision/body_key_points.html
@@ -0,0 +1,330 @@
+
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+    
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+    MaixPy Human Body Keypoint Detection for Pose Estimation - MaixPy
+    
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+                            
    MaixPy Human Body Keypoint Detection for Pose Estimation
    
+                            
+                        
    
+                        
    
+                            
      
+                            
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+                            
    Introduction
    
+
    Using MaixPy, you can easily detect the coordinates of human joint keypoints, which can be used for pose estimation such as sitting posture detection, motion-controlled game input, and more.
    
+
    Usage
    
+
    Using the maix.nn.BodyKeyPoints class in MaixPy, you can easily implement this functionality:
    
+
+
    from maix import nn, image, camera, display
+
+detector = nn.BodyKeyPoints(model="/root/models/body_key_points.mud")
+cam = camera.Camera(detector.input_width(), detector.input_height(), detector.input_format())
+dis = display.Display()
+
+while 1:
+    img = cam.read()
+    points = detector.detect(img)
+    for point in points:
+        img.draw_circle(point[0], point[1], 3, color=image.COLOR_RED, thickness=-1)
+    dis.show(img)
+
    
+
+                        
+                    
    
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\ No newline at end of file
diff --git a/maixpy/doc/en/vision/camera.html b/maixpy/doc/en/vision/camera.html
new file mode 100644
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@@ -0,0 +1,385 @@
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+    MaixPy Camera Usage - MaixPy
+    
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+    
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+    
    
+        
+        
    
+            
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+                            
    MaixPy Camera Usage
    
+                            
+                        
    
+                        
    
+                            
      
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+                                    2024-04-03
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+                    
    
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+                        
+                            Update history
+                            
    
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+                                                
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+                                
    DateVersionAuthorUpdate content
    2024-04-031.0.0neucrack
+                                                    
+                                                        Initial documentation
+                                                    
+                                                    
    
+                            
    
+                        
    
+                        
+                    
    
+                    
    
+                        
+                            
    Introduction
    
+
    For the MaixCAM, it comes with a pre-installed GC4653 camera, or an optional OS04A10 camera or global shutter camera, and even an HDMI to MIPI module, all of which can be directly used with simple API calls.
    
+
    API Documentation
    
+
    This article introduces common methods. For more API usage, refer to the documentation of the maix.camera module.
    
+
    Camera Switching
    
+
    Different cameras use different drivers, and the correct driver needs to be selected in the system.
    
+
    TODO: How to switch between cameras, such as between GC4653 and OS04A10.
    
+
    Getting Images from the Camera
    
+
    Using MaixPy to easily get images:
    
+
+
    from maix import camera
+
+cam = camera.Camera(640, 480)
+
+while 1:
+    img = cam.read()
+    print(img)
+
    
+
    Here we import the camera module from the maix module, then create a Camera object, specifying the width and height of the image. Then, in a loop, we continuously read the images. The default output is in RGB format. If you need BGR format or other formats, please refer to the API documentation.
    
+
    Skipping Initial Frames
    
+
    During the brief initialization period of the camera, the image acquisition may not be stable, resulting in strange images. You can use the skip_frames function to skip the initial few frames:
    
+
+
    cam = camera.Camera(640, 480)
+cam.skip_frames(30)           # Skip the first 30 frames
+
    
+
    Displaying Images
    
+
    MaixPy provides the display module, which can conveniently display images:
    
+
+
    from maix import camera, display
+
+cam = camera.Camera(640, 480)
+disp = display.Display()
+
+while 1:
+    img = cam.read()
+    disp.show(img)
+
    
+
+                        
+                    
    
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diff --git a/maixpy/doc/en/vision/classify.html b/maixpy/doc/en/vision/classify.html
new file mode 100644
index 00000000..2daed247
--- /dev/null
+++ b/maixpy/doc/en/vision/classify.html
@@ -0,0 +1,339 @@
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+    Using AI Models for Object Classification in MaixPy - MaixPy
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    Object Classification Concept
    
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    For example, if there are two images in front of you, one with an apple and the other with an airplane, the task of object classification is to input these two images into an AI model one by one. The model will then output two results, one for apple and one for airplane.
    
+
    Using Object Classification in MaixPy
    
+
    MaixPy provides a pre-trained 1000 classification model based on the imagenet dataset, which can be used directly:
    
+
+
    from maix import camera, display, image, nn
+
+classifier = nn.Classifier(model="/root/models/mobilenetv2.mud")
+cam = camera.Camera(classifier.input_width(), classifier.input_height(), classifier.input_format())
+dis = display.Display()
+
+while 1:
+    img = cam.read()
+    res = classifier.classify(img)
+    max_idx, max_prob = res[0]
+    msg = f"{max_prob:5.2f}: {classifier.labels[max_idx]}"
+    img.draw_string(10, 10, msg, image.COLOR_RED)
+    dis.show(img)
+
    
+
    Result video:
    
+
+
    Here, the camera captures an image, which is then passed to the classifier for recognition. The result is displayed on the screen.
    
+
    For more API usage, refer to the documentation for the maix.nn module.
    
+
    Training Your Own Classification Model
    
+
    Please go to MaixHub to learn and train classification models. When creating a project, select Classification Model.
    
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+    MaixPy Custom (Offline Training) AI Model and Running - MaixPy
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+                                    2024-04-29
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    DateVersionAuthorUpdate content
    2024-4-23v1.0dragonforward
+                                                    
+                                                        Added YOLOv5s deployment
+                                                    
+                                                    
    
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+
    This post is contributed by the community user dragonforward
    
+
    
+
    
+
    This blog will show you how to deploy your own YOLOv5s model (the author demonstrates a hard hat model) step by step from scratch. The training part refers to the author's previous work, and those who have already trained their models can skip this part, although there are some differences.
    
+
    
+
    Obtain Custom-Trained YOLOv5s ONNX Model
    
+
    Prepare Custom Dataset (The author uses the VOC dataset)
    
+
      
+
    • Dataset Directory Structure is as follows:
      • 
+
    
+
+
    └─VOC2028:        Custom dataset
+    ├─Annotations    Stores the dataset label files in XML format
+    ├─ImageSets        Dataset split files
+    │  └─Main
+    ├─JPEGImages    Stores the dataset images
+
    
+
      
+
    • Split the Dataset
      • 
+
    
+
    Execute python3 split_train_val.py in the split_train_val.py file path, and you will get the following directory structure:
    
+
+
    └─VOC2028:        Custom dataset
+    ├─Annotations    Stores the dataset label files in XML format
+    ├─ImageSets        Dataset split files
+    │  └─Main test.txt
+          └─test.txt
+          └─train.txt
+          └─val.txt
+    ├─JPEGImages    Stores the dataset images
+    ├─split_train_val.py    Python file for splitting the dataset
+
    
+
    split_train_val.py file code:
    
+
+
    # -*- coding: utf-8 -*-
+"""
+Author: dragonforward
+Description: Split into training, validation, and test sets in the ratio of 8:1:1, 8 for training, 1 for validation, and 1 for testing.
+"""
+import os
+import random
+import argparse
+
+parser = argparse.ArgumentParser()
+# Address of the XML files, modify according to your data. XML files are usually stored in Annotations
+parser.add_argument('--xml_path', default='Annotations/', type=str, help='input xml label path')
+# Dataset split, choose the address under your data's ImageSets/Main
+parser.add_argument('--txt_path', default='ImageSets/Main/', type=str, help='output txt label path')
+opt = parser.parse_args()
+
+train_percent = 0.8  # Proportion of the training set
+val_percent = 0.1    # Proportion of the validation set
+test_persent = 0.1   # Proportion of the test set
+
+xmlfilepath = opt.xml_path
+txtsavepath = opt.txt_path
+total_xml = os.listdir(xmlfilepath)
+
+if not os.path.exists(txtsavepath):
+    os.makedirs(txtsavepath)
+
+num = len(total_xml)  
+list = list(range(num))
+
+t_train = int(num * train_percent)  
+t_val = int(num * val_percent)
+
+train = random.sample(list, t_train)
+num1 = len(train)
+for i in range(num1):
+    list.remove(train[i])
+
+
+val_test = [i for i in list if not i in train]
+val = random.sample(val_test, t_val)
+num2 = len(val)
+for i in range(num2):
+    list.remove(val[i])
+
+
+file_train = open(txtsavepath + '/train.txt', 'w')
+file_val = open(txtsavepath + '/val.txt', 'w')
+file_test = open(txtsavepath + '/test.txt', 'w')
+
+for i in train:
+    name = total_xml[i][:-4] + '\n'
+    file_train.write(name)
+
+for i in val:
+    name = total_xml[i][:-4] + '\n'
+    file_val.write(name)    
+
+for i in list:
+    name = total_xml[i][:-4] + '\n'
+    file_test.write(name)
+
+
+file_train.close()
+file_val.close()
+file_test.close()
+
    
+
      
+
    • Convert VOC to labels to obtain label files
      • 
+
    
+
    Directory structure:
    
+
+
    └─VOC2028:        Custom dataset
+    ├─Annotations    Stores the dataset label files in XML format
+    ├─ImageSets        Dataset split files
+    │  └─Main
+    ├─JPEGImages    Stores the dataset images
+    └─labels        YOLOv5 treats this folder as the training annotation folder
+└─voc_label.py
+
    
+
    the voc_label.py file code:
    
+
+
    # -*- coding: utf-8 -*-
+import xml.etree.ElementTree as ET
+import os
+
+sets = ['train', 'val', 'test']  # If your Main folder doesn't have test.txt, remove 'test'
+classes = ["hat", "people"]   # Change to your own classes, VOC dataset has the following 20 classes
+# classes = ["brickwork", "coil","rebar"]   # Change to your own classes, VOC dataset has the following 20 classes
+# classes = ["aeroplane", 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog',
+#            'horse', 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor']  # class names
+# abs_path = os.getcwd() /root/yolov5/data/voc_label.py 
+abs_path = '/root/yolov5/data/'
+
+def convert(size, box):
+    dw = 1. / (size[0])
+    dh = 1. / (size[1])
+    x = (box[0] + box[1]) / 2.0 - 1
+    y = (box[2] + box[3]) / 2.0 - 1
+    w = box[1] - box[0]
+    h = box[3] - box[2]
+    x = x * dw
+    w = w * dw
+    y = y * dh
+    h = h * dh
+    return x, y, w, h
+
+
+def convert_annotation(image_id):
+    in_file = open(abs_path + '/VOC2028/Annotations/%s.xml' % (image_id), encoding='UTF-8')
+    out_file = open(abs_path + '/VOC2028/labels/%s.txt' % (image_id), 'w')
+    tree = ET.parse(in_file)
+    root = tree.getroot()
+    size = root.find('size')
+    w = int(size.find('width').text)
+    h = int(size.find('height').text)
+    for obj in root.iter('object'):
+        difficult = obj.find('difficult').text
+        # difficult = obj.find('Difficult').text
+        cls = obj.find('name').text
+        if cls not in classes or int(difficult) == 1:
+            continue
+        cls_id = classes.index(cls)
+        xmlbox = obj.find('bndbox')
+        b = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text), float(xmlbox.find('ymin').text),
+             float(xmlbox.find('ymax').text))
+        b1, b2, b3, b4 = b
+        # Bounding box correction
+        if b2 > w:
+            b2 = w
+        if b4 > h:
+            b4 = h
+        b = (b1, b2, b3, b4)
+        bb = convert((w, h), b)
+        out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')
+
+
+for image_set in sets:
+    if not os.path.exists(abs_path + '/VOC2028/labels/'):
+        os.makedirs(abs_path + '/VOC2028/labels/')
+
+    image_ids = open(abs_path + '/VOC2028/ImageSets/Main/%s.txt' % (image_set)).read().strip().split()
+    list_file = open(abs_path + '/VOC2028/%s.txt' % (image_set), 'w')
+    for image_id in image_ids:
+        list_file.write(abs_path + '/VOC2028/JPEGImages/%s.jpg\n' % (image_id))  # Either complete the path yourself, or only writing half may cause an error
+        convert_annotation(image_id)
+    list_file.close()
+
    
+
    custmize_model8
    
+
    Train the Model
    
+
      
+
    • Configure the environment
      • 
+
    
+
+
    git clone https://github.com/ultralytics/yolov5
+cd yolov5
+pip install -r requirements.txt
+pip install onnx
+
    
+
      
+
    • Download pre-trained weights (the author tried both v7.0 and v6.0 pt, and both work)
      • 
+
    
+
+
    https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5s.pt
+
    
+
    custmize_model11
    
+
      
+
    • Train the model (the author used the school's cluster for training)
      • 
+
    
+
+
    python3 train.py --weights weights/yolov5s.pt --cfg models/yolov5s.yaml --
+data data/safthat.yaml --epochs 150 --batch-size 16 --multi-scale --device 0
+
+
    
+
    custmize_model9
    
+
+
    python3 detect.py --source /root/yolov5/data/images/000000.jpg --weights /root/yolov5/runs/train/exp13/weights/best.pt --conf-thres 0.25
+
    
+
    custmize_model10
    
+
      
+
    • Export the ONNX model. Since the school server is currently in class, they can allocate me a computer only after their class is over. So I used the local conda environment on my laptop to export it. The reason for using -imgsz 224 320 is that it is more suitable for the screen. I also tried 640_640, but the camera reported an error, suggesting that it should be 640_480. Then I saw that the Sipeed YOLOv5s was 320*224, so I kept it consistent with theirs.
      • 
+
    
+
+
    python export.py --weights yolov5s_hat.pt --include onnx --opset 16 --imgsz 224 320
+
    
+
    custmize_model5
    
+
    You can view the model by entering netron.app in the URL, and there are three outputs:
    
+
    custmize_model2
    
+
    Here are the author's three outputs:
    
+
+
    onnx::Shape_329
+onnx::Shape_384
+onnx::Shape_439
+
    
+
    Model Conversion (Key Step)
    
+
    Install Docker Environment (Skip if already installed)
    
+
+
    Install the basic software required for Docker
+sudo apt-get update
+sudo apt-get install apt-transport-https ca-certificates curl gnupg-agent software-properties-common
+Add official source
+curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
+sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
+Install Docker
+sudo apt-get update
+sudo apt-get install docker-ce docker-ce-cli containerd.io
+
    
+
    Start the Model Quantization Process (!!!)
    
+
    Preparation
    
+
+
    Download from the following URL
+https://github.com/sophgo/tpu-mlir/releases/tag/v1.7
+tpu-mlir-resource.tar and tpu_mlir-1.7-py3-none-any.whl
+
    
+
    custmize_model3
    
+
    The reason for pulling the latest version is that I failed with version 3.1, as the tools are constantly being updated, so it's better to keep up with the latest version. You can see in the image below that I also tried version 3.1.
    
+
    custmize_model7
    
+
+
    docker pull sophgo/tpuc_dev:latest
+
+After entering the container, copy the two prepared files to the workspace directory
+
+root@3d517bc7f51f:/workspace/model_yolov5s# cd ..
+root@3d517bc7f51f:/workspace# ls
+model_yolov5s  tpu-mlir-resource  tpu-mlir-resource.tar  tpu_mlir-1.7-py3-none-any.whl
+root@3d517bc7f51f:/workspace# 
+
+Choose one of the following two options, I recommend the second one for offline installation
+pip install tpu_mlir[all] or pip install tpu_mlir-*-py3-none-any.whl[all]
+The author chose the second option
+pip install tpu_mlir-1.7-py3-none-any.whl
+And install all its dependencies
+pip install tpu_mlir-1.7-py3-none-any.whl[all]
+Extract
+tar -xvf tpu-mlir-resource.tar
+Rename the folder
+mv regression/ tpu-mlir-resource/
+
+
+mkdir model_yolov5s && cd model_yolov5s
+
+cp -rf ../tpu_mlir_resource/dataset/COCO2017 .
+cp -rf ../tpu_mlir_resource/image .
+
+
+Transfer the previously prepared 100 images, one test image, and the ONNX model to the following location
+root@3d517bc7f51f:/workspace# cd model_yolov5s/
+root@3d517bc7f51f:/workspace/model_yolov5s# ls
+COCO2017  image  workspace  yolov5n_hat.onnx  yolov5s_hat.onnx
+root@3d517bc7f51f:/workspace/model_yolov5s# cd COCO2017/
+root@3d517bc7f51f:/workspace/model_yolov5s/COCO2017# ls
+000000.jpg  000011.jpg  000022.jpg  000032.jpg  000042.jpg  000053.jpg  000066.jpg  000076.jpg  000086.jpg  000096.jpg
+000002.jpg  000012.jpg  000023.jpg  000033.jpg  000043.jpg  000054.jpg  000067.jpg  000077.jpg  000087.jpg  000101.jpg
+000003.jpg  000013.jpg  000024.jpg  000034.jpg  000044.jpg  000055.jpg  000068.jpg  000078.jpg  000088.jpg  000102.jpg
+000004.jpg  000014.jpg  000025.jpg  000035.jpg  000045.jpg  000058.jpg  000069.jpg  000079.jpg  000089.jpg  000103.jpg
+000005.jpg  000015.jpg  000026.jpg  000036.jpg  000046.jpg  000059.jpg  000070.jpg  000080.jpg  000090.jpg  000104.jpg
+000006.jpg  000016.jpg  000027.jpg  000037.jpg  000048.jpg  000061.jpg  000071.jpg  000081.jpg  000091.jpg  000105.jpg
+000007.jpg  000017.jpg  000028.jpg  000038.jpg  000049.jpg  000062.jpg  000072.jpg  000082.jpg  000092.jpg  000106.jpg
+000008.jpg  000019.jpg  000029.jpg  000039.jpg  000050.jpg  000063.jpg  000073.jpg  000083.jpg  000093.jpg  000107.jpg
+000009.jpg  000020.jpg  000030.jpg  000040.jpg  000051.jpg  000064.jpg  000074.jpg  000084.jpg  000094.jpg  000108.jpg
+000010.jpg  000021.jpg  000031.jpg  000041.jpg  000052.jpg  000065.jpg  000075.jpg  000085.jpg  000095.jpg  000109.jpg
+root@3d517bc7f51f:/workspace/model_yolov5s/COCO2017# ls -l | grep "^-" | wc -l
+100
+root@3d517bc7f51f:/workspace/model_yolov5s/COCO2017# 
+
+You can use ls -l | grep "^-" | wc -l to check the number of images. The author replaced the 100 helmet images and the test image in the COCO2017 folder.
+
+Go back to model_yolov5s
+root@3d517bc7f51f:/workspace/model_yolov5s/COCO2017# cd ..
+root@3d517bc7f51f:/workspace/model_yolov5s# ls
+COCO2017  image  workspace  yolov5n_hat.onnx  yolov5s_hat.onnx
+root@3d517bc7f51f:/workspace/model_yolov5s# 
+
+Next
+mkdir workspace && cd workspace
+Execute the following command to convert ONNX to MLIR (remember to replace output_names with your own)
+model_transform \
+--model_name yolov5s \
+--model_def ../yolov5s_hat.onnx \
+--input_shapes [[1,3,224,320]] \
+--mean 0.0,0.0,0.0 \
+--scale 0.0039216,0.0039216,0.0039216 \
+--keep_aspect_ratio \
+--pixel_format rgb \
+--output_names onnx::Shape_329,onnx::Shape_439,onnx::Shape_384 \
+--test_input ../image/hat.jpg \
+--test_result yolov5s_top_outputs.npz \
+--mlir yolov5s.mlir
+
+Execute the following command to convert MLIR to INT8 model, before converting to INT8 model, you need to run calibration to obtain the calibration table
+run_calibration yolov5s.mlir \
+--dataset ../COCO2017 \
+--input_num 100 \
+-o yolov5s_cali_table
+Then execute the following
+model_deploy \
+--mlir yolov5s.mlir \
+--quantize INT8 \
+--calibration_table yolov5s_cali_table \
+--processor cv181x \
+--test_input yolov5s_in_f32.npz \
+--test_reference yolov5s_top_outputs.npz \
+--tolerance 0.85,0.45 \
+--model yolov5s_cv181x_int8_sym.cvimodel
+
+Finally, you will get the following:
+root@3d517bc7f51f:/workspace/model_yolov5s/workspace# ls
+_weight_map.csv          yolov5s_cv181x_int8_sym.cvimodel         yolov5s_origin.mlir
+build_flag.json          yolov5s_cv181x_int8_sym_final.mlir       yolov5s_top_f32_all_origin_weight.npz
+final_opt.onnx           yolov5s_cv181x_int8_sym_tensor_info.txt  yolov5s_top_f32_all_weight.npz
+yolov5s.mlir             yolov5s_cv181x_int8_sym_tpu.mlir         yolov5s_top_outputs.npz
+yolov5s_cali_table       yolov5s_in_f32.npz                       yolov5s_tpu_addressed_cv181x_int8_sym_weight.npz
+yolov5s_cv181x_int8_sym  yolov5s_opt.onnx.prototxt                yolov5s_tpu_addressed_cv181x_int8_sym_weight_fix.npz
+root@3d517bc7f51f:/workspace/model_yolov5s/workspace# 
+
    
+
    Through the above steps, you can obtain the quantized model that can be deployed to the development board.
    
+
    Explanation:
    
+The reason why it's cv181x is because I tried it first and got the following
    
+
+
    -- [I] load cvimodel from: /root/models/yolov5n.cvimodel
+cvimodel built for cv180x CANNOT run on platform cv181x
+failed to parse cvimodel
+
+
    
+
    running the model on an actual device:
    
+
      
+
    • The contents of yolov5s_hat.mud are as follows:
      • 
+
    
+
+
    [basic]
+type = cvimodel
+model = yolov5s_hat_cv181x_int8_sym.cvimodel
+
+[extra]
+model_type = yolov5
+input_type = rgb
+mean = 0, 0, 0
+scale = 0.00392156862745098, 0.00392156862745098, 0.00392156862745098
+anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326
+labels = hat,person
+
    
+
    Run the code:
    
+
+
    from maix import camera, display, image, nn, app
+
+detector = nn.YOLOv5(model="/root/models/yolov5s_hat.mud")
+cam = camera.Camera(detector.input_width(), detector.input_height(), detector.input_format())
+dis = display.Display()
+print("www")
+print(detector.input_width(), detector.input_height(), detector.input_format())
+
+while not app.need_exit():
+    img = cam.read()
+    objs = detector.detect(img, conf_th=0.5, iou_th=0.45)
+    for obj in objs:
+        img.draw_rect(obj.x, obj.y, obj.w, obj.h, color=image.COLOR_RED)
+        msg = f'{detector.labels[obj.class_id]}: {obj.score:.2f}'
+        img.draw_string(obj.x, obj.y, msg, color=image.COLOR_RED)
+    dis.show(img)
+
    
+
    custmize_model4
    
+
    Where 10.84.117.1 is the IP address. Upload the cvmodel and mud files to the /root/models/ path.
    
+
    After packaging, install the application and run it, or you can run it in the IDE.
    
+
    custmize_model6
    
+
    Video link:
    
+
+
    https://www.bilibili.com/video/BV1xz421S7Rx/?spm_id_from=333.999.0.0&vd_source=b1fff0f773136d7d05331087929c7739
+
    
+
    Acknowledgments
    
+
    Thanks to 谁说现在是冬天呢 for some insights.
    
+
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+    MaixPy Screen Usage - MaixPy
+    
+    
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+    
+    
+    
+    
    
+        
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+            
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+                            
    MaixPy Screen Usage
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
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+                            
+                            
+                                
+                                    2024-03-31
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+                            Update history
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+                                
    DateVersionAuthorUpdate content
    2024-03-311.0.0neucrack
+                                                    
+                                                        Initial document
+                                                    
+                                                    
    
+                            
    
+                        
    
+                        
+                    
    
+                    
    
+                        
+                            
    Introduction
    
+
    MaixPy provides the display module, which can display images on the screen, and can also send images to MaixVision for display, facilitating debugging and development.
    
+
    API Documentation
    
+
    This document introduces commonly used methods. For more APIs, please refer to the display section of the API documentation.
    
+
    Using the Screen
    
+
      
+
    • Import the display module:
      • 
+
    
+
+
    from maix import display
+
    
+
      
+
    • Create a Display object:
      • 
+
    
+
+
    disp = display.Display()
+
    
+
      
+
    • Display an image:
      • 
+
    
+
+
    disp.show(img)
+
    
+
    Here, the img object is a maix.image.Image object, which can be obtained through the read method of the camera module, or loaded from an image file in the file system using the load method of the image module, or created as a blank image using the Image class of the image module.
    
+
    For example:
    
+
+
    from maix import image, display
+
+disp = display.Display()
+img = image.load("/root/dog.jpg")
+disp.show(img)
+
    
+
    Here, you need to transfer the dog.jpg file to the /root directory on the device first.
    
+
    Display text:
    
+
+
    from maix import image, display
+
+disp = display.Display()
+img = image.Image(320, 240)
+img.draw_rectangle(0, 0, disp.width(), disp.height(), color=image.Color.from_rgb(255, 0, 0), thickness=-1)
+img.draw_rectangle(10, 10, 100, 100, color=image.Color.from_rgb(255, 0, 0))
+img.draw_string(10, 10, "Hello MaixPy!", color=image.Color.from_rgb(255, 255, 255))
+disp.show(img)
+
    
+
    Read an image from the camera and display it:
    
+
+
    from maix import camera, display, app
+
+disp = display.Display()
+cam = camera.Camera(320, 240)
+while not app.need_exit():
+    img = cam.read()
+    disp.show(img)
+
    
+
    
+
    Here, while not app.need_exit(): is used to facilitate exiting the loop when the app.set_exit_flag() method is called elsewhere.
    
+
    
+
    Adjusting Backlight Brightness
    
+
    You can manually adjust the backlight brightness in the system's "Settings" app. If you want to adjust the backlight brightness programmatically, you can use the set_backlight method, with the parameter being the brightness percentage, ranging from 0 to 100:
    
+
+
    disp.set_backlight(50)
+
    
+
    Note that when the program exits and returns to the app selection interface, the backlight brightness will automatically revert to the system setting.
    
+
    Displaying on MaixVision
    
+
    When running code in MaixVision, images can be displayed on MaixVision for easier debugging and development.
    
+
    When calling the show method, the image will be automatically compressed and sent to MaixVision for display.
    
+
    Of course, if you don't have a screen, or to save memory by not initializing the screen, you can also directly call the send_to_maixvision method of the image.Image object to send the image to MaixVision for display.
    
+
+
    from maix import image
+
+img = image.Image(320, 240)
+img.draw_rectangle(0, 0, img.width(), img.height(), color=image.Color.from_rgb(255, 0, 0), thickness=-1)
+img.draw_rectangle(10, 10, 100, 100, color=image.Color.from_rgb(255, 0, 0))
+img.draw_string(10, 10, "Hello MaixPy!", color=image.Color.from_rgb(255, 255, 255))
+img.send_to_maixvision()
+
    
+
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diff --git a/maixpy/doc/en/vision/face_recognition.html b/maixpy/doc/en/vision/face_recognition.html
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+
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+    
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+        
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+        
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+    
+    MaixPy Face Recognition - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
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+                        
    
+                            
+                            
    MaixPy Face Recognition
    
+                            
+                        
    
+                        
    
+                            
      
+                            
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+                        
    
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+                        
+                            
    Introduction to Face Recognition
    
+
    Face recognition is the process of identifying the location of faces in the current image and determining who they are.
    
+In addition to detecting faces, face recognition generally involves a database of known and unknown individuals.
    
+
    Recognition Principle
    
+
      
+
    • Use an AI model to detect faces and obtain the coordinates and coordinates of facial features.
      • 
+
    • Use the coordinates of facial features to perform affine transformation on the face in the image, aligning it to a standard face shape, making it easier for the model to extract facial features.
      • 
+
    • Use a feature extraction model to extract facial feature values.
      • 
+
    • Compare the extracted feature values with the recorded facial feature values in the database (calculate the cosine distance between the saved and current facial feature values, and find the smallest distance match in the database. If the distance is smaller than a set threshold, it is considered to be the same person in the database.)
      • 
+
    
+
    Using MaixPy
    
+
    The MaixPy maix.nn module provides an API for face recognition, which can be used directly, and the model is also built-in. You can also download it from the MaixHub Model Zoo (filter for the corresponding hardware platform, such as maixcam).
    
+
    Recognition:
    
+
+
    from maix import nn
+
+recognizer = nn.Face_Recognizer(model="/root/models/face_recognizer.mud")
+if os.path.exists("/root/faces.bin"):
+    recognizer.load_faces("/root/faces.bin")
+cam = camera.Camera(recognizer.input_width(), recognizer.input_height(), recognizer.input_format())
+dis = display.Display()
+
+while 1:
+    img = cam.read()
+    faces = recognizer.recognize(img)
+    for obj in faces:
+        img.draw_rect(obj.x, obj.y, obj.w, obj.h, color = image.COLOR_RED)
+        msg = f'{recognizer.labels[obj.class_id]}: {obj.score:.2f}'
+        img.draw_string(obj.x, obj.y, msg, color = image.COLOR_RED)
+    dis.show(img)
+
    
+
    When running this code for the first time, you will find that it can detect faces, but it doesn't recognize anyone. We need to enter the add face mode to learn faces first.
    
+For example, we can learn faces when the user presses a button:
    
+
+
    faces = recognizer.detect_faces(img)
+for face in faces:
+    print(face)
+    # Here we consider the case where there are multiple faces in one image
+    # You can decide whether to add the face to the database based on the coordinates of `face`
+    recognizer.add_face(face)
+recognizer.save_(faces)("/too/faces.bin")
+
    
+
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diff --git a/maixpy/doc/en/vision/find_blobs.html b/maixpy/doc/en/vision/find_blobs.html
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+    
+    MaixPy Find Blobs - MaixPy
+    
+    
+    
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+        
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+                            
    MaixPy Find Blobs
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
+                                
+                            
+                            
+                                
+                                    2024-04-03
+                                
+                            
+                        
    
+                        
    
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+                        
    
+                    
    
+                    
    
+                        
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+                        
+                            Update history
+                            
    
+                                
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+                                        
+                                
    DateVersionAuthorUpdate content
    2024-04-031.0.0neucrack
+                                                    
+                                                        Initial documentation
+                                                    
+                                                    
    2024-04-031.0.1lxowalle
+                                                    
+                                                        Added detailed usage for finding blobs
+                                                    
+                                                    
    
+                            
    
+                        
    
+                        
+                    
    
+                    
    
+                        
+                            
    Before reading this article, make sure you know how to develop with MaixPy. For details, please read MaixVision -- MaixPy Programming + Graphical Block Programming.
    
+
    Introduction
    
+
    This article will introduce how to use MaixPy to find color blobs and how to use the default application of MaixCam to find color blobs.
    
+
    In vision applications, finding color blobs is a very common requirement, such as robots finding color blobs, automated production lines finding color blobs, etc., which requires identifying specific color areas in the image and obtaining information such as the position and size of these areas.
    
+
    Using MaixPy to Find Blobs
    
+
    The maix.image.Image module in MaixPy provides the find_blobs method, which can conveniently find color blobs.
    
+
    How to Find Blobs
    
+
    A simple example to find color blobs and draw bounding boxes:
    
+
+
    from maix import image, camera, display
+
+cam = camera.Camera(320, 240)
+disp = display.Display()
+
+# Select the corresponding configuration based on the color of the blob
+thresholds = [[0, 80, 40, 80, 10, 80]]      # red
+# thresholds = [[0, 80, -120, -10, 0, 30]]    # green
+# thresholds = [[0, 80, 30, 100, -120, -60]]  # blue
+
+while 1:
+    img = cam.read()
+    blobs = img.find_blobs(thresholds, pixels_threshold=500)
+    for blob in blobs:
+        img.draw_rect(blob[0], blob[1], blob[2], blob[3], image.COLOR_GREEN)
+    disp.show(img)
+
    
+
    Steps:
    
+
      
+
    1. Import the image, camera, and display modules
      
+
+
      from maix import image, camera, display
+
      
+
      2. 
+
    2. Initialize the camera and display
      
+
+
      cam = camera.Camera(320, 240)	# Initialize the camera with an output resolution of 320x240 in RGB format
+disp = display.Display()
+
      
+
      3. 
+
    3. Get the image from the camera and display it
      
+
+
      while 1:
+    img = cam.read()
+    disp.show(img)
+
      
+
      4. 
+
    4. Call the find_blobs method to find color blobs in the camera image and draw them on the screen
      
+
+
      blobs = img.find_blobs(thresholds, pixels_threshold=500)
+for blob in blobs:
+    img.draw_rect(blob[0], blob[1], blob[2], blob[3], image.COLOR_GREEN)
+
      
+
        
+
      • img is the camera image obtained through cam.read(). When initialized with cam = camera.Camera(320, 240), the img object is an RGB image with a resolution of 320x240.
        • 
+
      • img.find_blobs is used to find color blobs. thresholds is a list of color thresholds, where each element is a color threshold. Multiple thresholds can be passed in to find multiple colors simultaneously. Each color threshold is in the format [L_MIN, L_MAX, A_MIN, A_MAX, B_MIN, B_MAX], where L, A, and B are the three channels in the LAB color space. The L channel represents brightness, the A channel represents the red-green component, and the B channel represents the blue-yellow component. pixels_threshold is a pixel count threshold used to filter out unwanted small blobs.
        • 
+
      • img.draw_rect is used to draw bounding boxes around the color blobs. blob[0], blob[1], blob[1], and blob[1] represent the x-coordinate of the top-left corner of the blob, the y-coordinate of the top-left corner of the blob, the width of the blob, and the height of the blob, respectively.
        • 
+
      
+
      5. 
+
    
+
    Common Parameter Explanations
    
+
    Here are explanations of commonly used parameters. If you cannot find parameters that can implement your application, you may need to consider using other algorithms or extending the required functionality based on the current algorithm's results.
    
+
+
+
+  
+  
+  
+
+
+
+
+  
+  
+  
+
+
+  
+  
+  
+
+
+  
+  
+  
+
+
+  
+  
+  
+
+
+  
+  
+  
+
+
+
    ParameterDescriptionExample
    thresholdsThresholds based on the LAB color space, thresholds=[[l_min, l_max, a_min, a_max, b_min, b_max]], representing:
    Brightness range [l_min, l_max]
    Green to red component range [a_min, a_max]
    Blue to yellow component range [b_min, b_max]
    Multiple thresholds can be set simultaneously    		Set two thresholds to detect red and green
    img.find_blobs(thresholds=[[0, 80, 40, 80, 10, 80], [0, 80, -120, -10, 0, 30]])
    Red threshold is [0, 80, 40, 80, 10, 80]
    Green threshold is [0, 80, -120, -10, 0, 30]
    invertEnable threshold inversion, when enabled, the passed thresholds are inverted. Default is False.Enable threshold inversion
    img.find_blobs(invert=True)
    roiSet the rectangular region for the algorithm to compute, roi=[x, y, w, h], where x and y represent the coordinates of the top-left corner of the rectangle, and w and h represent the width and height of the rectangle, respectively. The default is the entire image.Compute the region at (50, 50) with a width and height of 100
    img.find_blobs(roi=[50, 50, 100, 100])
    area_thresholdFilter out blobs with a pixel area smaller than area_threshold, in units of pixels. The default is 10. This parameter can be used to filter out some useless small blobs.Filter out blobs with an area smaller than 1000
    img.find_blobs(area_threshold=1000)
    pixels_thresholdFilter out blobs with fewer valid pixels than pixels_threshold. The default is 10. This parameter can be used to filter out some useless small blobs.Filter out blobs with fewer than 1000 valid pixels
    img.find_blobs(pixels_threshold=1000)
    
+
    This article introduces commonly used methods. For more APIs, please see the image section of the API documentation.
    
+
    Using the Find Blobs App
    
+
    To quickly verify the find blobs functionality, you can first use the find blobs application provided by MaixCam to experience the effect of finding color blobs.
    
+
    Usage
    
+
    Open the device, select the Find Blobs app, then select the color to be recognized from the bottom options or customize a color, and you can recognize the corresponding color. At the same time, the serial port will also output the recognized coordinates and color information.
    
+
    
+
    Detailed Explanation
    
+
    The app interface is as follows:
    
+
    
+
    Using Default Configuration
    
+
    The find blobs app provides four default configurations: red, green, blue, and user. red, green, and blue are used to find red, green, and blue color blobs, respectively, while user is mainly provided for user-defined color blob finding. The method for customizing configurations is described below. For a quick experience, you can switch to the corresponding configuration by clicking the buttons at the bottom of the interface.
    
+
    Finding Custom Color Blobs
    
+
    The app provides two ways to find custom color blobs: using adaptive LAB thresholds and manually setting LAB thresholds.
    
+
    1. Finding Color Blobs with Adaptive LAB Thresholds
    
+
    Steps:
    
+
      
+
    1. Click the options icon in the bottom-left corner to enter configuration mode.
      2. 
+
    2. Point the camera at the object you need to find, click on the target object on the screen, and the left side will display a rectangular frame of the object's color and show the LAB values of that color.
      3. 
+
    3. Click on the appearing rectangular frame, and the system will automatically set the LAB thresholds. At this point, the image will outline the edges of the object.
      4. 
+
    
+
    2. Manually Setting LAB Thresholds to Find Color Blobs
    
+
    Manual setting allows for more precise targeting of the desired color blobs.
    
+
    Steps:
    
+
      
+
    1. Click the options icon in the bottom-left corner to enter configuration mode.
      2. 
+
    2. Point the camera at the object you need to find, click on the target object on the screen, and the left side will display a rectangular frame of the object's color and show the LAB values of that color.
      3. 
+
    3. Click on the bottom options L Min, L Max, A Min, A Max, B Min, B Max. After clicking, a slider will appear on the right side to set the value for that option. These values correspond to the minimum and maximum values of the L, A, and B channels in the LAB color format, respectively.
      4. 
+
    4. Referring to the LAB values of the object color calculated in step 2, adjust L Min, L Max, A Min, A Max, B Min, B Max to appropriate values to identify the corresponding color blobs. For example, if LAB = (20, 50, 80), since L=20, to accommodate a certain range, set L Min=10 and L Max=30. Similarly, since A=50, set A Min=40 and A Max=60. Since B=80, set B Min=70 and B Max=90.
      5. 
+
    
+
    Getting Detection Data via Serial Protocol
    
+
    The find blobs app supports reporting information about detected color blobs via the serial port (default baud rate is 115200).
    
+
    Since only one report message is sent, we can illustrate the content of the report message with an example.
    
+
    For instance, if the report message is:
    
+
+
    shellCopy code
+
+AA CA AC BB 14 00 00 00 E1 08 EE 00 37 00 15 01 F7 FF 4E 01 19 00 27 01 5A 00 A7 20
+
    
+
      
+
    • AA CA AC BB: Protocol header, content is fixed
      • 
+
    • 14 00 00 00: Data length, the total length excluding the protocol header and data length
      • 
+
    • E1: Flag, used to identify the serial message flag
      • 
+
    • 08: Command type, for the find blobs app application, this value is fixed at 0x08
      • 
+
    • EE 00 37 00 15 01 F7 FF 4E 01 19 00 27 01 5A 00: Coordinates of the four vertices of the found color blob, with each value represented by 2 bytes in little-endian format. EE 00 and 37 00 represent the first vertex coordinate as (238, 55), 15 01 and F7 FF represent the second vertex coordinate as (277, -9), 4E 01 and 19 00 represent the third vertex coordinate as (334, 25), 27 01 and 5A 00 represent the fourth vertex coordinate as (295, 90).
      • 
+
    • A7 20: CRC checksum value, used to verify if the frame data has errors during transmission.
      • 
+
    
+
    About the LAB Color Space
    
+
    The LAB color space, like the RGB color space, is a way to represent colors. LAB can represent all colors visible to the human eye. If you need to learn more about LAB, you can search for relevant articles online, which will provide more details. However, for you, it should be sufficient to understand why LAB is advantageous for MaixPy.
    
+
    Advantages of LAB for MaixPy:
    
+
      
+
    1. The color gamut of the LAB color space is larger than that of RGB, so it can completely replace RGB.
      2. 
+
    2. In the LAB color space, since the L channel is the brightness channel, we often set it to a relatively large range (commonly [0, 80]), and when coding, we mainly focus on the A and B channels. This can save a lot of time spent struggling with how to select color thresholds.
      3. 
+
    3. The color perception in the LAB color space is more uniform and easier to debug with code. For example, if you only need to find red color blobs, you can fix the values of the L and B channels and only adjust the value of the A channel (in cases where high color accuracy is not required). For RGB channels, you generally need to adjust all three R, G, and B channels simultaneously to find suitable thresholds.
      4. 
+
    
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+    MaixPy Basic Image Operations - MaixPy
+    
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+                            
    MaixPy Basic Image Operations
    
+                            
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+                        
    
+                            
      
+                            
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+                        
    
+                        
    
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+                                    2024-04-03
+                                
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+                    
    
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+                        
+                            Update history
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+                                
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+                                
    DateVersionAuthorUpdate content
    2024-04-031.0.0neucrack
+                                                    
+                                                        Initial document
+                                                    
+                                                    
    
+                            
    
+                        
    
+                        
+                    
    
+                    
    
+                        
+                            
    Introduction
    
+
    Images play a very important role in visual applications. Whether it's a picture or a video, since a video is essentially a series of frames, image processing is the foundation of visual applications.
    
+
    API Documentation
    
+
    This document introduces common methods. For more APIs, refer to the documentation of the maix.image module.
    
+
    Image Formats
    
+
    MaixPy provides a basic image module image, where the most important part is the image.Image class, which is used for image creation and various basic image operations, as well as image loading and saving.
    
+
    There are many image formats, and we generally use image.Format.FMT_RGB888 or image.Format.FMT_RGBA8888 or image.Format.FMT_GRAYSCALE or image.Format.FMT_BGR888, etc.
    
+
    We all know that the three colors RGB can synthesize any color, so in most cases, we use image.Format.FMT_RGB888, which is sufficient. RGB888 is RGB packed in memory, i.e., the arrangement in memory is:
    
+pixel1_red, pixel1_green, pixel1_blue, pixel2_red, pixel2_green, pixel2_blue, ... arranged in sequence.
    
+
    Creating an Image
    
+
    Creating an image is very simple, you only need to specify the width and height of the image, and the image format:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+print(img)
+print(img.width(), img.height(), img.format())
+
    
+
    320 is the width of the image, 240 is the height of the image, and image.Format.FMT_RGB888 is the format of the image. The format parameter can be omitted, and the default is image.Format.FMT_RGB888.
    
+
    Here, you can get the width, height, and format of the image using img.width(), img.height(), and img.format().
    
+
    Displaying on the Screen
    
+
    MaixPy provides the maix.display.Display class, which can conveniently display images:
    
+
+
    from maix import image, display
+
+disp = display.Display()
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+disp.show(img)
+
    
+
    Note that here, since there is no image data, a black image is displayed. See the following sections for how to modify the image.
    
+
    Reading Images from the File System
    
+
    MaixPy provides the maix.image.load method, which can read images from the file system:
    
+
+
    from maix import image
+
+img = image.load("/root/image.jpg")
+print(img)
+
    
+
    Note that here, /root/image.jpg has been transferred to the board in advance. You can refer to the previous tutorials for the method.
    
+It supports jpg and png image formats.
    
+
    Saving Images to the File System
    
+
    MaixPy's maix.image.Image provides the save method, which can save images to the file system:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+
+# do something with img
+img.save("/root/image.jpg")
+
    
+
    Drawing Rectangles
    
+
    image.Image provides the draw_rect method, which can draw rectangles on the image:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img.draw_rect(10, 10, 100, 100, image.Color.from_rgb(255, 0, 0))
+
    
+
    Here, the parameters are: x, y, w, h, color. x and y are the coordinates of the top-left corner of the rectangle, w and h are the width and height of the rectangle, and color is the color of the rectangle, which can be created using the image.Color.from_rgb method.
    
+You can specify the line width of the rectangle using thickness, which defaults to 1.
    
+
    You can also draw a solid rectangle by passing thickness=-1:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img.draw_rect(10, 10, 100, 100, (255, 0, 0), thickness=-1)
+
    
+
    Writing Strings
    
+
    image.Image provides the draw_string method, which can write text on the image:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img.draw_string(10, 10, "Hello MaixPy", image.Color.from_rgb(255, 0, 0))
+
    
+
    Here, the parameters are: x, y, text, color. x and y are the coordinates of the top-left corner of the text, text is the text to be written, and color is the color of the text, which can be created using the image.Color.from_rgb method.
    
+
    You can also enlarge the font by passing the scale parameter:
    
+
+
    img.draw_string(10, 10, "Hello MaixPy", image.Color.from_rgb(255, 0, 0), scale=2)
+
    
+
    Get the width and height of the font:
    
+
+
    w, h = img.string_size("Hello MaixPy", scale=2)
+print(w, h)
+
    
+
    Note that here, scale is the magnification factor, and the default is 1. It should be consistent with draw_string.
    
+
    Drawing Lines
    
+
    image.Image provides the draw_line method, which can draw lines on the image:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img.draw_line(10, 10, 100, 100, image.Color.from_rgb(255, 0, 0))
+
    
+
    Here, the parameters are: x1, y1, x2, y2, color. x1 and y1 are the coordinates of the starting point of the line, x2 and y2 are the coordinates of the end point of the line, and color is the color of the line, which can be created using the image.Color.from_rgb method.
    
+
    Drawing Circles
    
+
    image.Image provides the draw_circle method, which can draw circles on the image:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img.draw_circle(100, 100, 50, image.Color.from_rgb(255, 0, 0))
+
    
+
    Here, the parameters are: x, y, r, color. x and y are the coordinates of the center of the circle, r is the radius, and color is the color of the circle, which can be created using the image.Color.from_rgb method.
    
+
    Resizing Images
    
+
    image.Image provides the resize method, which can resize images:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img_new = img.resize(160, 120)
+print(img, img_new)
+
    
+
    Note that here, the resize method returns a new image object, and the original image remains unchanged.
    
+
    Cropping Images
    
+
    image.Image provides the crop method, which can crop images:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img_new = img.crop(10, 10, 100, 100)
+print(img, img_new)
+
    
+
    Note that here, the crop method returns a new image object, and the original image remains unchanged.
    
+
    Rotating Images
    
+
    image.Image provides the rotate method, which can rotate images:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img_new = img.rotate(90)
+print(img, img_new)
+
    
+
    Note that here, the rotate method returns a new image object, and the original image remains unchanged.
    
+
    Copying Images
    
+
    image.Image provides the copy method, which can copy an independent image:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888) 
+img_new = img.copy()
+print(img, img_new)
+
    
+
    Affine Transformations
    
+
    image.Image provides the affine method, which can perform affine transformations. By providing the coordinates of three or more points in the current image and the corresponding coordinates in the target image, you can automatically perform operations such as rotation, scaling, and translation on the image to transform it into the target image:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img_new = img.affine([(10, 10), (100, 10), (10, 100)], [(10, 10), (100, 20), (20, 100)])
+print(img, img_new)
+
    
+
    For more parameters and usage, please refer to the API documentation.
    
+
    Drawing Keypoints
    
+
    image.Image provides the draw_keypoints method, which can draw keypoints on the image:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+
+keypoints = [(10, 10), (100, 10), (10, 100)]
+img.draw_keypoints(keypoints, image.Color.from_rgb(255, 0, 0), size=10, thickness=1, fill=False)
+
    
+
    This draws three red keypoints at the coordinates (10, 10), (100, 10), and (10, 100). The size of the keypoints is 10, the line width is 1, and they are not filled.
    
+
    Drawing Crosses
    
+
    image.Image provides the draw_cross method, which can draw crosses on the image:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img.draw_cross(100, 100, image.Color.from_rgb(255, 0, 0), size=5, thickness=1)
+
    
+
    This draws a red cross at the coordinate (100, 100). The extension size of the cross is 5, so the length of the line segment is 2 * size + thickness, and the line width is 1.
    
+
    Drawing Arrows
    
+
    image.Image provides the draw_arrow method, which can draw arrows on the image:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img.draw_arrow(10, 10, 100, 100, image.Color.from_rgb(255, 0, 0), thickness=1)
+
    
+
    This draws a red arrow starting from the coordinate (10, 10), with the end point at (100, 100), and a line width of 1.
    
+
    Drawing Images
    
+
    image.Image provides the draw_image method, which can draw images on the image:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img2 = image.Image(100, 100, image.Format.FMT_RGB888)
+img2.draw_rect(10, 10, 90, 90, image.Color.from_rgb(255, 0, 0))
+img.draw_image(10, 10, img2)
+
    
+
    Converting Formats
    
+
    image.Image provides the to_format method, which can convert image formats:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img_new = img.to_format(image.Format.FMT_BGR888)
+print(img, img_new)
+img_jpg = img.to_format(image.Format.FMT_JPEG)
+print(img, img_new)
+
    
+
    Note that here, the to_format method returns a new image object, and the original image remains unchanged.
    
+
    Converting between Numpy/OpenCV Formats
    
+
    You can also convert to a numpy array, which can then be used by libraries such as numpy and opencv:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+img_np = image.image2cv(img)
+img2   = image.cv2image(img_np)
+print(type(img_np), img_np, img_np.shape)
+print(type(img2), img2)
+
    
+
    Converting between bytes Data
    
+
    image.Image provides the to_bytes method, which can convert an image to bytes data:
    
+
+
    from maix import image
+
+img = image.Image(320, 240, image.Format.FMT_RGB888)
+data = img.to_bytes()
+print(type(data), len(data), img.data_size())
+
+img2 = image.Image(320, 240, image.Format.FMT_RGB888, data)
+print(img2)
+
    
+
    Here, to_bytes returns a new bytes object, which is independent memory and does not affect the original image.
    
+The image.Image constructor can directly construct an image object from bytes data by passing the data parameter. Note that the new image is also independent memory and does not affect data.
    
+
    Since memory copying is involved, this method is relatively time-consuming and should not be used frequently.
    
+
    
+
    If you want to optimize your program without copying (not recommended for casual use, as poorly written code can easily cause crashes), please refer to the API documentation.
    
+
    
+
    More Basic API Usage
    
+
    For more API usage, please refer to the documentation of the maix.image module.
    
+
+                        
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diff --git a/maixpy/doc/en/vision/maixhub_train.html b/maixpy/doc/en/vision/maixhub_train.html
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+    
+    Using MaixHub to Train AI Models for MaixPy - MaixPy
+    
+    
+    
+
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+
+
+    
+    
+    
+    
    
+        
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+                            
+                            
    Using MaixHub to Train AI Models for MaixPy
    
+                            
+                        
    
+                        
    
+                            
      
+                            
+                            
    
+                        
    
+                        
    
+                        
    
+                            
+                                
+                            
+                            
+                                
+                                    2024-04-03
+                                
+                            
+                        
    
+                        
    
+                            
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+                            
+                        
    
+                        
    
+                    
    
+                    
    
+                        
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+                    
    
+                    
    
+                        
+                        
+                        
    
+                        
+                            Update history
+                            
    
+                                
+                                        
+                                            
+                                                
+                                                
+                                                
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+                                        
+                                        
+                                            
+                                                
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+                                                    
+                                                    
+                                                    
+                                                
+                                            
+                                        
+                                
    DateVersionAuthorUpdate content
    2024-04-031.0.0neucrack
+                                                    
+                                                        Initial document
+                                                    
+                                                    
    
+                            
    
+                        
    
+                        
+                    
    
+                    
    
+                        
+                            
    Introduction
    
+
    MaixHub offers the functionality to train AI models online, directly within a browser. This eliminates the need for expensive hardware, complex development environments, or coding skills, making it highly suitable for beginners as well as experts who prefer not to delve into code.
    
+
    Basic Steps to Train a Model Using MaixHub
    
+
    Identify the Data and Model Types
    
+
    To train an AI model, you first need to determine the type of data and model. As of April 2024, MaixHub provides models for image data including Object Classification Models and Object Detection Models. Object classification models are simpler than object detection models, as the latter require marking the position of objects within images, which can be more cumbersome. Object classification merely requires identifying what is in the image without needing coordinates, making it simpler and recommended for beginners.
    
+
    Collect Data
    
+
    As discussed in AI basics, training a model requires a dataset for the AI to learn from. For image training, you need to create a dataset and upload images to it.
    
+
    Ensure the device is connected to the internet (WiFi).
    
+Open the MaixHub app on your device and choose to collect data to take photos and upload them directly to MaixHub. You need to create a dataset on MaixHub first, then click on device upload data, which will display a QR code. Scan this QR code with your device to connect to MaixHub.
    
+
    It's important to distinguish between training and validation datasets. To ensure the performance during actual operation matches the training results, the validation dataset must be of the same image quality as those taken during actual operation. It's also advisable to use images taken by the device for the training set. If using internet images, restrict them to the training set only, as the closer the dataset is to actual operational conditions, the better.
    
+
    Annotate Data
    
+
    For classification models, images are annotated during upload by selecting the appropriate category for each image.
    
+
    For object detection models, after uploading, you need to manually annotate each image by marking the coordinates, size, and category of the objects to be recognized.
    
+This annotation process can also be done offline on your own computer using software like labelimg, then imported into MaixHub using the dataset import feature.
    
+Utilize shortcuts during annotation to speed up the process. MaixHub will also add more annotation aids and automatic annotation tools in the future (there is already an automatic annotation tool available for videos that you can try).
    
+
    Train the Model
    
+
    Select training parameters, choose the corresponding device platform, select maixcam, and wait in the training queue. You can monitor the training progress in real-time and wait for it to complete.
    
+
    Deploy the Model
    
+
    Once training is complete, you can use the deploy function in the MaixHub app on your device to scan a code and deploy.
    
+The device will automatically download and run the model, storing it locally for future use.
    
+
    If you find the recognition results satisfactory, you can share the model to the model library with a single click for others to use.
    
+
    How to Use
    
+
    Please visit MaixHub to register an account, then log in. There are video tutorials on the homepage for learning.
    
+
    Note that if the tutorial uses the M2dock development board, the process is similar for MaixCAM, although the MaixHub application on the device might differ slightly. The overall process is the same, so please apply the knowledge flexibly.
    
+
+                        
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+    
+    
+    MaixPy
+    
+    
+    
+
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+
+
+    
+    
+    
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+    
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diff --git a/maixpy/doc/en/vision/qrcode.html b/maixpy/doc/en/vision/qrcode.html
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+    
+    MaixPy QR Code Recognition - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
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+                            
    MaixPy QR Code Recognition
    
+                            
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+                            
      
+                            
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+                                
+                                    2024-04-03
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+                            
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+                    
    
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    DateVersionAuthorUpdate content
    2024-04-031.0.0lxowalle
+                                                    
+                                                        Initial document
+                                                    
+                                                    
    
+                            
    
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+                            
    Before reading this article, make sure you are familiar with how to develop with MaixPy. For details, please read MaixVision -- MaixPy Programming + Graphical Block Programming
    
+
    Introduction
    
+
    This article explains how to use MaixPy for QR code recognition.
    
+
    Using MaixPy to Recognize QR Codes
    
+
    MaixPy's maix.image.Image includes the find_qrcodes method for QR code recognition.
    
+
    How to Recognize QR Codes
    
+
    A simple example that recognizes QR codes and draws a bounding box:
    
+
+
    from maix import image, camera, display
+
+cam = camera.Camera(320, 240)
+disp = display.Display()
+
+while True:
+    img = cam.read()
+    qrcodes = img.find_qrcodes()
+    for qr in qrcodes:
+        corners = qr.corners()
+        for i in range(4):
+            img.draw_line(corners[i][0], corners[i][1], corners[(i + 1) % 4][0], corners[(i + 1) % 4][1], image.COLOR_RED)
+        img.draw_string(qr.x(), qr.y() - 15, qr.payload(), image.COLOR_RED)
+    disp.show(img)
+
    
+
    Steps:
    
+
      
+
    1. Import the image, camera, and display modules:
      
+
+
      from maix import image, camera, display
+
      
+
      2. 
+
    2. Initialize the camera and display:
      
+
+
      cam = camera.Camera(320, 240)  # Initialize the camera with a resolution of 320x240 in RGB format
+disp = display.Display()
+
      
+
      3. 
+
    3. Capture and display images from the camera:
      
+
+
      while True:
+    img = cam.read()
+    disp.show(img)
+
      
+
      4. 
+
    4. Use the find_qrcodes method to detect QR codes in the camera image:
      
+
+
      qrcodes = img.find_qrcodes()
+
      
+
        
+
      • img is the camera image captured by cam.read(). When initialized as cam = camera.Camera(320, 240), the img object is a 320x240 resolution RGB image.
        • 
+
      • img.find_qrcodes searches for QR codes and saves the results in qrcodes for further processing.
        • 
+
      
+
      5. 
+
    5. Process and display the results of QR code recognition on the screen:
      
+
+
      for qr in qrcodes:
+    corners = qr.corners()
+    for i in range(4):
+        img.draw_line(corners[i][0], corners[i][1], corners[(i + 1) % 4][0], corners[(i + 1) % 4][1], image.COLOR_RED)
+    img.draw_string(qr.x(), qr.y() - 15, qr.payload(), image.COLOR_RED)
+
      
+
        
+
      • qrcodes contains the results from img.find_qrcodes(). If no QR codes are found, qrcodes will be empty.
        • 
+
      • qr.corners() retrieves the coordinates of the four corners of the detected QR code. img.draw_line() uses these coordinates to draw the QR code outline.
        • 
+
      • img.draw_string displays information about the QR code content and position. qr.x() and qr.y() retrieve the x and y coordinates of the QR code's top-left corner, and qr.payload() retrieves the content of the QR code.
        • 
+
      
+
      6. 
+
    
+
    Common Parameter Explanation
    
+
    List common parameters and their explanations. If you cannot find parameters that fit your application, consider whether to use a different algorithm or extend the functionality based on the current algorithm's results.
    
+
+
+
+  
+  
+  
+
+
+
+
+  
+  
+  
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+
    ParameterDescriptionExample
    roiSets the rectangular area for the algorithm to compute, where roi=[x, y, w, h], x and y denote the top-left coordinates of the rectangle, and w and h denote the width and height of the rectangle, defaulting to the entire image.Compute the area with coordinates (50,50) and width and height of 100:
    img.find_qrcodes(roi=[50, 50, 100, 100])
    
+
    This article introduces common methods. For more API details, refer to the image section of the API documentation.
    
+
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diff --git a/maixpy/doc/en/vision/self_learn_classifier.html b/maixpy/doc/en/vision/self_learn_classifier.html
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--- /dev/null
+++ b/maixpy/doc/en/vision/self_learn_classifier.html
@@ -0,0 +1,356 @@
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+    
+    MaixPy Self-Learning Classifier - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
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+                            
+                            
    MaixPy Self-Learning Classifier
    
+                            
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+                            
    Introduction to MaixPy Self-Learning Classifier
    
+
    Typically, to recognize new categories, it is necessary to collect a new dataset and train on a computer, which can be cumbersome and complex. This method eliminates the need for computer-based training, allowing for immediate learning of new objects directly on the device, suitable for less complex scenarios.
    
+
    For example, if there are a drink bottle and a mobile phone in front of you, take a photo of each to serve as the basis for two categories. Then, collect several photos from different angles of each item, extract their features and save them. During recognition, the image's features are compared with the saved feature values, and the closest match determines the classification.
    
+
    Using the Self-Learning Classifier in MaixPy
    
+
    Steps:
    
+
      
+
    • Collect n classification images.
      • 
+
    • Collect n*m images, m images for each category, order does not matter.
      • 
+
    • Start learning.
      • 
+
    • Recognize images and output results.
      • 
+
    
+
    Simplified version of the code, for the full version please refer to the complete code in the example.
    
+
+
    from maix import nn, image
+
+classifier = nn.SelfLearnClassifier(model="/root/models/mobilenetv2.mud", feature_layer=None)
+
+img1 = image.load("/root/1.jpg")
+img2 = image.load("/root/2.jpg")
+img3 = image.load("/root/3.jpg")
+sample_1 = image.load("/root/sample_1.jpg")
+sample_2 = image.load("/root/sample_2.jpg")
+sample_3 = image.load("/root/sample_3.jpg")
+sample_4 = image.load("/root/sample_4.jpg")
+sample_5 = image.load("/root/sample_5.jpg")
+sample_6 = image.load("/root/sample_6.jpg")
+
+
+classifier.add_class(img1)
+classifier.add_class(img2)
+classifier.add_class(img3)
+classifier.add_sample(sample_1)
+classifier.add_sample(sample_2)
+classifier.add_sample(sample_3)
+classifier.add_sample(sample_4)
+classifier.add_sample(sample_5)
+classifier.add_sample(sample_6)
+
+classifier.learn()
+
+img = image.load("/root/test.jpg")
+max_idx, max_score = classifier.classify(img)
+print(max_idx, max_score)
+
    
+
+                        
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diff --git a/maixpy/doc/en/vision/self_learn_detector.html b/maixpy/doc/en/vision/self_learn_detector.html
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+    
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+    
+    
+    MaixPy Self-Learning Detector - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
+            
    
+                
    
+                    
    
+                        
    
+                            
+                            
    MaixPy Self-Learning Detector
    
+                            
+                        
    
+                        
    
+                            
      
+                            
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+                        
    
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+                    
    
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+                        
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+                    
    
+                        
+                            
    MaixPy Self-Learning Detector
    
+
    Similar to the self-learning classifier, the self-learning detector does not require training. Simply taking a few photos of the object to be detected can enable detection, which is very useful in simple detection scenarios.
    
+Unlike the self-learning classifier, since it is a detector, it will provide the coordinates and size of the object.
    
+
    Using the Self-Learning Detector in MaixPy
    
+
    TODO:
    
+
+                        
+                    
    
+                
    
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diff --git a/maixpy/doc/en/vision/yolov5.html b/maixpy/doc/en/vision/yolov5.html
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+
+
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+    
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+    
+    Using YOLOv5 Model for Object Detection with MaixPy - MaixPy
+    
+    
+    
+
+
+
+
+    
+    
+    
+    
    
+        
+        
    
+            
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+                    
    
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+                            
+                            
    Using YOLOv5 Model for Object Detection with MaixPy
    
+                            
+                        
    
+                        
    
+                            
      
+                            
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+                        
    
+                        
    
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+                    
    
+                    
    
+                        
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+                        
+                            
    Concept of Object Detection
    
+
    Object detection refers to identifying the position and category of targets in an image or video, such as detecting objects like apples and airplanes in a picture, and marking the position of these objects.
    
+
    Unlike classification, object detection includes positional information, so the result is usually a rectangular box that frames the location of the object.
    
+
    Using Object Detection in MaixPy
    
+
    MaixPy comes with the YOLOv5 model by default, which can be used directly:
    
+
+
    from maix import camera, display, image, nn, app
+
+detector = nn.YOLOv5(model="/root/models/yolov5s.mud")
+
+cam = camera.Camera(detector.input_width(), detector.input_height(), detector.input_format())
+dis = display.Display()
+
+while not app.need_exit():
+    img = cam.read()
+    objs = detector.detect(img, conf_th = 0.5, iou_th = 0.45)
+    for obj in objs:
+        img.draw_rect(obj.x, obj.y, obj.w, obj.h, color = image.COLOR_RED)
+        msg = f'{detector.labels[obj.class_id]}: {obj.score:.2f}'
+        img.draw_string(obj.x, obj.y, msg, color = image.COLOR_RED)
+    dis.show(img)
+
    
+
    Demonstration video:
    
+
    
+                
    
+                
+                
    
+            
    
+            
    
+                
    
+                    
    
+                            
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\ No newline at end of file
diff --git a/maixpy/doc/zh/audio/recognize.html b/maixpy/doc/zh/audio/recognize.html
index 7664d51f..6ece9d84 100644
--- a/maixpy/doc/zh/audio/recognize.html
+++ b/maixpy/doc/zh/audio/recognize.html
@@ -129,7 +129,7 @@ 
    MaixPy
    
 
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    • 
 
  • OCR 文字识别
    • 
 
  • MaixHub 在线 AI 模型训练
    • 
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diff --git a/maixpy/doc/zh/basic/app.html b/maixpy/doc/zh/basic/app.html
index d7df8f32..5b440849 100644
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    MaixPy
    
 
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  • OCR 文字识别
    • 
 
  • MaixHub 在线 AI 模型训练
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+
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diff --git a/maixpy/doc/zh/basic/app_usage.html b/maixpy/doc/zh/basic/app_usage.html
index 7a4add77..446e1cfd 100644
--- a/maixpy/doc/zh/basic/app_usage.html
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@@ -129,7 +129,7 @@ 
    MaixPy
    
 
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  • OCR 文字识别
    • 
 
  • MaixHub 在线 AI 模型训练
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diff --git a/maixpy/doc/zh/basic/linux_basic.html b/maixpy/doc/zh/basic/linux_basic.html
index d9d54d38..7dba26f9 100644
--- a/maixpy/doc/zh/basic/linux_basic.html
+++ b/maixpy/doc/zh/basic/linux_basic.html
@@ -129,7 +129,7 @@ 
    MaixPy
    
 
  • 物体轨迹跟踪和计数
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  • OCR 文字识别
    • 
 
  • MaixHub 在线 AI 模型训练
    • 
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  • 自定义（离线训练转换）模型
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diff --git a/maixpy/doc/zh/basic/maixpy_upgrade.html b/maixpy/doc/zh/basic/maixpy_upgrade.html
index a3a02974..87a1773f 100644
--- a/maixpy/doc/zh/basic/maixpy_upgrade.html
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@@ -129,7 +129,7 @@ 
    MaixPy
    
 
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  • OCR 文字识别
    • 
 
  • MaixHub 在线 AI 模型训练
    • 
-
  • 自定义（离线训练转换）模型
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+
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diff --git a/maixpy/doc/zh/basic/maixvision.html b/maixpy/doc/zh/basic/maixvision.html
index f39cbed2..8eb77a7e 100644
--- a/maixpy/doc/zh/basic/maixvision.html
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@@ -129,7 +129,7 @@ 
    MaixPy
    
 
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  • MaixHub 在线 AI 模型训练
    • 
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+
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diff --git a/maixpy/doc/zh/basic/os.html b/maixpy/doc/zh/basic/os.html
index b4cd2817..6fb91233 100644
--- a/maixpy/doc/zh/basic/os.html
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    MaixPy
    
 
  • 物体轨迹跟踪和计数
    • 
 
  • OCR 文字识别
    • 
 
  • MaixHub 在线 AI 模型训练
    • 
-
  • 自定义（离线训练转换）模型
    • 
+
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diff --git a/maixpy/doc/zh/basic/python.html b/maixpy/doc/zh/basic/python.html
index e5753803..3e9bea9d 100644
--- a/maixpy/doc/zh/basic/python.html
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@@ -129,7 +129,7 @@ 
    MaixPy
    
 
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    • 
 
  • OCR 文字识别
    • 
 
  • MaixHub 在线 AI 模型训练
    • 
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diff --git a/maixpy/doc/zh/basic/python_pkgs.html b/maixpy/doc/zh/basic/python_pkgs.html
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--- a/maixpy/doc/zh/basic/python_pkgs.html
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@@ -129,7 +129,7 @@ 
    MaixPy
    
 
  • 物体轨迹跟踪和计数
    • 
 
  • OCR 文字识别
    • 
 
  • MaixHub 在线 AI 模型训练
    • 
-
  • 自定义（离线训练转换）模型
    • 
+
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diff --git a/maixpy/doc/zh/faq.html b/maixpy/doc/zh/faq.html
index 7ae056f8..9e2e82ba 100644
--- a/maixpy/doc/zh/faq.html
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@@ -129,7 +129,7 @@ 
    MaixPy
    
 
  • 物体轨迹跟踪和计数
    • 
 
  • OCR 文字识别
    • 
 
  • MaixHub 在线 AI 模型训练
    • 
-
  • 自定义（离线训练转换）模型
    • 
+
  • 自定义（离线训练转换）模型
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  • 播放音频
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diff --git a/maixpy/doc/zh/index.html b/maixpy/doc/zh/index.html
index 11093257..45b8e794 100644
--- a/maixpy/doc/zh/index.html
+++ b/maixpy/doc/zh/index.html
@@ -129,7 +129,7 @@ 
    MaixPy
    
 
  • 物体轨迹跟踪和计数
    • 
 
  • OCR 文字识别
    • 
 
  • MaixHub 在线 AI 模型训练
    • 
-
  • 自定义（离线训练转换）模型
    • 
+
  • 自定义（离线训练转换）模型
    • 
 
  • AI 听觉
    • 
 
  • 录音
    • 
 
  • 播放音频
    • 
@@ -241,14 +241,11 @@ 
    获得 MaixCAM 设备
    
 
    上手配置
    
 
    准备 TF 镜像卡和插入到设备
    
-
    如果你买的套餐里面有 TF 卡，里面已经有出厂镜像了，需要先小心打开外壳（注意里面有排线连接不要扯断了），然后插入 TF 卡。
    
-
    
-
    出厂的镜像
    
-
    
+
    如果你买的套餐里面有 TF 卡，里面已经有出厂镜像了，如果出厂时 TF 卡没有安装到设备，需要先小心打开外壳（注意里面有排线连接不要扯断了），然后插入 TF 卡。另外因为出厂的固件可能比较老旧，可以插按照升级和烧录系统先将系统升级到最新版本。
    
 
    如果没买 TF 卡，则需要将系统烧录进自备的 TF 卡中，烧录方法请看升级和烧录系统，然后再安装到板子。
    
 
    上电开机
    
 
    使用 Type-C 数据线连接 MaixCAM 设备给设备供电，等待设备开机，开机会进入功能选择界面。
    
-
    maixcam
    
+
    maixcam_font
    
 
    如果屏幕没有显示
    
 
      
 
    • 请确认购买了配套的 TF 卡，如果确认有 TF 卡，并且已经插入到设备，可以尝试更新到最新的系统。
      • 
diff --git a/maixpy/doc/zh/modules/acc.html b/maixpy/doc/zh/modules/acc.html
index 1ee93bed..b0f7ea88 100644
--- a/maixpy/doc/zh/modules/acc.html
+++ b/maixpy/doc/zh/modules/acc.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
    • AI 听觉
      • 
 
    • 录音
      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/modules/thermal_cam.html b/maixpy/doc/zh/modules/thermal_cam.html
index 992dccb0..778c54ef 100644
--- a/maixpy/doc/zh/modules/thermal_cam.html
+++ b/maixpy/doc/zh/modules/thermal_cam.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
    • AI 听觉
      • 
 
    • 录音
      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/modules/tof.html b/maixpy/doc/zh/modules/tof.html
index 80f968a6..d0a5b485 100644
--- a/maixpy/doc/zh/modules/tof.html
+++ b/maixpy/doc/zh/modules/tof.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
    • AI 听觉
      • 
 
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      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/peripheral/gpio.html b/maixpy/doc/zh/peripheral/gpio.html
index daf7c01d..df80ecf0 100644
--- a/maixpy/doc/zh/peripheral/gpio.html
+++ b/maixpy/doc/zh/peripheral/gpio.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
    • AI 听觉
      • 
 
    • 录音
      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/peripheral/i2c.html b/maixpy/doc/zh/peripheral/i2c.html
index 49b4cefb..ad64524c 100644
--- a/maixpy/doc/zh/peripheral/i2c.html
+++ b/maixpy/doc/zh/peripheral/i2c.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
    • AI 听觉
      • 
 
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      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/peripheral/pwm.html b/maixpy/doc/zh/peripheral/pwm.html
index 5327cac0..91bdb2aa 100644
--- a/maixpy/doc/zh/peripheral/pwm.html
+++ b/maixpy/doc/zh/peripheral/pwm.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
    • AI 听觉
      • 
 
    • 录音
      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/peripheral/spi.html b/maixpy/doc/zh/peripheral/spi.html
index 36f9833f..ad2d74ea 100644
--- a/maixpy/doc/zh/peripheral/spi.html
+++ b/maixpy/doc/zh/peripheral/spi.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
    • AI 听觉
      • 
 
    • 录音
      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/peripheral/uart.html b/maixpy/doc/zh/peripheral/uart.html
index 515aac86..5cc99367 100644
--- a/maixpy/doc/zh/peripheral/uart.html
+++ b/maixpy/doc/zh/peripheral/uart.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
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      • 
 
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      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/peripheral/wdt.html b/maixpy/doc/zh/peripheral/wdt.html
index ba439acb..d62d6710 100644
--- a/maixpy/doc/zh/peripheral/wdt.html
+++ b/maixpy/doc/zh/peripheral/wdt.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
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      • 
 
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      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/pro/compile_os.html b/maixpy/doc/zh/pro/compile_os.html
index 8b59f1a7..219cb05d 100644
--- a/maixpy/doc/zh/pro/compile_os.html
+++ b/maixpy/doc/zh/pro/compile_os.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
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      • 
 
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      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/sidebar.yaml b/maixpy/doc/zh/sidebar.yaml
index d7550711..3c0a1185 100644
--- a/maixpy/doc/zh/sidebar.yaml
+++ b/maixpy/doc/zh/sidebar.yaml
@@ -57,7 +57,7 @@ items:
     label: OCR 文字识别
 -   file: vision/maixhub_train.md
     label: MaixHub 在线 AI 模型训练
--   file: vision/customize_model.md
+-   file: vision/custmize_model.md
     label: 自定义（离线训练转换）模型
 
 
diff --git a/maixpy/doc/zh/source_code/add_c_module.html b/maixpy/doc/zh/source_code/add_c_module.html
index 1618168f..adfad721 100644
--- a/maixpy/doc/zh/source_code/add_c_module.html
+++ b/maixpy/doc/zh/source_code/add_c_module.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
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      • 
 
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      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/source_code/build.html b/maixpy/doc/zh/source_code/build.html
index f20e0180..bb403d5f 100644
--- a/maixpy/doc/zh/source_code/build.html
+++ b/maixpy/doc/zh/source_code/build.html
@@ -44,7 +44,7 @@
         
     
     
-    MaixPy develop source code guide - MaixPy
+    MaixPy 开发源代码指南 - MaixPy
     
     
     
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
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      • 
 
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      • 
 
    • 播放音频
      • 
@@ -175,7 +175,7 @@ 
      MaixPy
      
                     
      
                         
      
                             
-                            
      MaixPy develop source code guide
      
+                            
      MaixPy 开发源代码指南
      
                             
                         
      
                         
      
@@ -210,59 +210,59 @@ 
      MaixPy develop source code guide
      
                     
      
                     
      
                         
-                            
      Get source code
      
+                            
      获取源代码
      
 
 
      git clone https://github.com/sipeed/MaixPy
 cd MaixPy
 
      
-
      Build and pack to wheel
      
+
      构建并打包成 wheel 文件
      
 
 
      python setup.py bdist_wheel maixcam
 
      
-
      maixcam Can be replaced with other board config, see setup.py 's platform_names variable.
      
-
      After build success, you will find wheel file in dist directory, use pip install -U MaixPy****.wheel on your device to install or upgrade.
      
+
      maixcam 可以被替换为其他板卡配置, 请查看 setup.py 中的 platform_names 变量。
      
+
      构建成功后, 你会在 dist 目录中找到 wheel 文件, 使用 pip install -U MaixPy****.wheel 在你的设备上安装或升级。
      
 
      
-
      python setup.py bdist_wheel maixcam --skip-build will not execute build command and only pack wheel, so you can use maixcdk menuconfig and maixcdk build first to customize building.
      
+
      python setup.py bdist_wheel maixcam --skip-build 不会执行构建命令, 只会打包 wheel 文件, 因此你可以先使用 maixcdk menuconfig 和 maixcdk build 来自定义构建。
      
 
      
-
      Build manually
      
+
      手动构建
      
 
 
      maixcdk build
 
      
-
      Run test after modify source code
      
+
      修改源代码后运行测试
      
 
        
-
      • First, build source code by
        • 
+
      • 首先, 构建源代码
        • 
 
      
 
 
      maixcdk build
 
      
 
        
-
      • If build for PC self(platform linux):
        • 
+
      • 如果为 PC 自身构建(平台 linux):
        • 
 
      
-
      Then execute ./run.sh your_test_file_name.py to run python script.
      
+
      然后执行 ./run.sh your_test_file_name.py 来运行 Python 脚本。
      
 
 
      cd test
 ./run.sh examples/hello_maix.py
 
      
 
        
-
      • If cross compile for borad:
          
-
        • The fastest way is copy maix dir to device's /usr/lib/python3.11/site-packages/ directory, then run script on device.
          • 
-
        • Or pack wheel and install on device by pip install -U MaixPy****.wheel, then run script on device.
          • 
+
        • 如果为板卡交叉编译:
            
+
          • 最快的方式是将 maix 目录复制到设备的 /usr/lib/python3.11/site-packages/ 目录, 然后在设备上运行脚本。
            • 
+
          • 或者打包 wheel 文件并在设备上使用 pip install -U MaixPy****.wheel 安装, 然后在设备上运行脚本。
            • 
 
          
 
          • 
 
        
-
        Preview documentation locally
        
-
        Documentation in docs directory, use Markdown format, you can use teedoc to generate web version documentation.
        
-
        And the API doc is generated when build MaixPy firmware, if you don't build MaixPy, the API doc will be empty.
        
+
        本地预览文档
        
+
        文档位于 docs 目录, 使用 Markdown 格式, 你可以使用 teedoc 来生成网页版本的文档。
        
+
        API 文档会在构建 MaixPy 固件时生成, 如果你没有构建 MaixPy, API 文档将会是空的。
        
 
 
        pip install teedoc -U
 cd docs
 teedoc install -i https://pypi.tuna.tsinghua.edu.cn/simple
 teedoc serve
 
        
-
        Then visit http://127.0.0.1:2333 to preview documentation on web browser.
        
-
        For developers who want to contribute
        
-
        See MaixPy develop source code guide
        
-
        If you encounter any problems when use source code, please refer to FAQ first.
        
+
        然后访问 http://127.0.0.1:2333 在网页浏览器中预览文档。
        
+
        对于想要贡献的开发者
        
+
        请查看 MaixPy 开发源代码指南
        
+
        如果在使用源代码时遇到任何问题, 请先参考 FAQ。
        
 
                         
                     
      
diff --git a/maixpy/doc/zh/source_code/contribute.html b/maixpy/doc/zh/source_code/contribute.html
index 8359401c..9acb65c7 100644
--- a/maixpy/doc/zh/source_code/contribute.html
+++ b/maixpy/doc/zh/source_code/contribute.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
    • AI 听觉
      • 
 
    • 录音
      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/source_code/faq.html b/maixpy/doc/zh/source_code/faq.html
index 64f4e690..356dcab6 100644
--- a/maixpy/doc/zh/source_code/faq.html
+++ b/maixpy/doc/zh/source_code/faq.html
@@ -44,7 +44,7 @@
         
     
     
-    MaixPy Source Code FAQ - MaixPy
+    MaixPy 源代码常见问题 - MaixPy
     
     
     
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
    • AI 听觉
      • 
 
    • 录音
      • 
 
    • 播放音频
      • 
@@ -175,7 +175,7 @@ 
      MaixPy
      
                     
      
                         
      
                             
-                            
      MaixPy Source Code FAQ
      
+                            
      MaixPy 源代码常见问题
      
                             
                         
      
                         
      
@@ -189,8 +189,8 @@ 
      MaixPy Source Code FAQ
      
                                 
                             
                             
-                                
-                                    2024-03-07
+                                
+                                    2024-04-26
                                 
                             
                         
      
@@ -215,12 +215,12 @@ 
      MaixPy Source Code FAQ
      
                     
      
                         
                             
      subprocess.CalledProcessError: Command '('lsb_release', '-a')' returned non-zero exit status 1.
      
-
      Edit /usr/bin/lsb_release as root, change the first line from #!/usr/bin/python3 to python3.
      
-
      Then compile again and it should work.
      
+
      以 root 身份编辑 /usr/bin/lsb_release，将第一行从 #!/usr/bin/python3 更改为 python3。
      
+
      然后重新编译,应该就可以工作了。
      
 
      ImportError: arg(): could not convert default argument 'format: maix::image::Format' in method '<class 'maix._maix.camera.Camera'>.init' into a Python object (type not registered yet?)
      
-
      Pybind11 need you to register image::Format first, then you can use it in camera::Camera, to we must fist define image::Format in generated build/maixpy_wrapper.cpp source file.
      
-
      To achieve this, edit components/maix/headers_priority.txt, the depended on should be placed before the one use it.
      
-e.g.
      
+
      Pybind11 需要你先注册 image::Format，然后才能在 camera::Camera 中使用它,所以我们必须先在生成的 build/maixpy_wrapper.cpp 源文件中定义 image::Format。
      
+
      要实现这一点,请编辑 components/maix/headers_priority.txt,被依赖的应该放在依赖它的前面。
      
+例如:
      
 
 
      maix_image.hpp
 maix_camera.hpp
diff --git a/maixpy/doc/zh/source_code/maixcdk.html b/maixpy/doc/zh/source_code/maixcdk.html
index 5063452e..4c95e517 100644
--- a/maixpy/doc/zh/source_code/maixcdk.html
+++ b/maixpy/doc/zh/source_code/maixcdk.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
    • AI 听觉
      • 
 
    • 录音
      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/video/jpeg_streaming.html b/maixpy/doc/zh/video/jpeg_streaming.html
index f7a43119..6128f1e2 100644
--- a/maixpy/doc/zh/video/jpeg_streaming.html
+++ b/maixpy/doc/zh/video/jpeg_streaming.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
    • 自定义（离线训练转换）模型
      • 
 
    • AI 听觉
      • 
 
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      • 
 
    • 播放音频
      • 
diff --git a/maixpy/doc/zh/vision/ai.html b/maixpy/doc/zh/vision/ai.html
index 2e74da72..c9711493 100644
--- a/maixpy/doc/zh/vision/ai.html
+++ b/maixpy/doc/zh/vision/ai.html
@@ -129,7 +129,7 @@ 
      MaixPy
      
 
    • 物体轨迹跟踪和计数
      • 
 
    • OCR 文字识别
      • 
 
    • MaixHub 在线 AI 模型训练
      • 
-
    • 自定义（离线训练转换）模型
      • 
+
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