docs(ansible): add file checksums to readme

Signed-off-by: Alexey Panferov <[email protected]>
autowarefoundation · Sep 21, 2023 · a94021b · a94021b
1 parent a4142fb
commit a94021b
Showing 1 changed file with 85 additions and 15 deletions.
diff --git a/ansible/roles/artifacts/README.md b/ansible/roles/artifacts/README.md
@@ -1,76 +1,132 @@
-# Machine learning models
+# Autoware artifacts
 
 The Autoware perception stack uses models for inference. These models are automatically downloaded if using `ansible`, but they can also be downloaded manually.
 
 ## ONNX model files
 
 ### Download instructions
 
-The ONNX model files are stored in a common location, hosted by Web.Auto
+The ONNX model files are stored in a common location, hosted by Web.Auto.
 
-Any tool that can download files from the web (e.g. `wget` or `curl`) is the only requirement for downloading these files:
+Any tool that can download files from the web (e.g. `wget` or `curl`) is the only requirement for downloading these files.
 
-```console
-# yabloc_pose_initializer
+#### yabloc_pose_initializer
+
+| file             | checksum                                                                |
+|------------------|-------------------------------------------------------------------------| 
+| resources.tar.gz | sha256:1f660e15f95074bade32b1f80dbf618e9cee1f0b9f76d3f4671cb9be7f56eb3a |
 
+```console
 $ mkdir -p ~/autoware_data/yabloc_pose_initializer/
 $ wget -P ~/autoware_data/yabloc_pose_initializer/ \
        https://s3.ap-northeast-2.wasabisys.com/pinto-model-zoo/136_road-segmentation-adas-0001/resources.tar.gz
+```
 
+#### image_projection_based_fusion
 
-# image_projection_based_fusion
+| file             | checksum                                                                |
+|------------------|-------------------------------------------------------------------------| 
+| pts_voxel_encoder_pointpainting.onnx | md5:25c70f76a45a64944ccd19f604c99410 |
+| pts_backbone_neck_head_pointpainting.onnx | md5:2c7108245240fbd7bf0104dd68225868 |
 
+```console
 $ mkdir -p ~/autoware_data/image_projection_based_fusion/
 $ wget -P ~/autoware_data/image_projection_based_fusion/ \
        https://awf.ml.dev.web.auto/perception/models/pointpainting/v4/pts_voxel_encoder_pointpainting.onnx \
        https://awf.ml.dev.web.auto/perception/models/pointpainting/v4/pts_backbone_neck_head_pointpainting.onnx
+```
 
+#### lidar_apollo_instance_segmentation
 
-# lidar_apollo_instance_segmentation
+| file             | checksum                                                                |
+|------------------|-------------------------------------------------------------------------| 
+| vlp-16.onnx checksum:  | md5:63a5a1bb73f7dbb64cf70d04eca45fb4 |
+| hdl-64.onnx checksum:  | md5:009745e33b1df44b68296431cc384cd2 |
+| vls-128.onnx checksum: | md5:b2d709f56f73ae2518c9bf4d0214468f |
 
+```console
 $ mkdir -p ~/autoware_data/lidar_apollo_instance_segmentation/
 $ wget -P ~/autoware_data/lidar_apollo_instance_segmentation/ \
        https://awf.ml.dev.web.auto/perception/models/lidar_apollo_instance_segmentation/vlp-16.onnx \
        https://awf.ml.dev.web.auto/perception/models/lidar_apollo_instance_segmentation/hdl-64.onnx \
        https://awf.ml.dev.web.auto/perception/models/lidar_apollo_instance_segmentation/vls-128.onnx
+```
 
+#### lidar_centerpoint
 
-# lidar_centerpoint
+| file             | checksum                                                                |
+|------------------|-------------------------------------------------------------------------|
+| pts_voxel_encoder_centerpoint.onnx           | sha256:dc1a876580d86ee7a341d543f8ade2ede7f43bd032dc5b44155b1f0175405764 |
+| pts_backbone_neck_head_centerpoint.onnx      | sha256:3fe7e128955646740c41a25be0c8f141d5a94594fe79d7405fe2a859e391542e |
+| pts_voxel_encoder_centerpoint_tiny.onnx      | sha256:2c53465715c1fd2e9dc5727ef3fca74f4cdf0538f74286b0946e219d0ca5693b |
+| pts_backbone_neck_head_centerpoint_tiny.onnx | md5:e4658325b70222f7c3637fe00e586b82                                    |
 
+```console
 $ mkdir -p ~/autoware_data/lidar_centerpoint/
 $ wget -P ~/autoware_data/lidar_centerpoint/ \
        https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_voxel_encoder_centerpoint.onnx \
        https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_backbone_neck_head_centerpoint.onnx \
        https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_voxel_encoder_centerpoint_tiny.onnx \
        https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_backbone_neck_head_centerpoint_tiny.onnx
+```
 
+#### tensorrt_yolo
 
-# tensorrt_yolo
+| file             | checksum                                                                |
+|------------------|-------------------------------------------------------------------------|
+| yolov3.onnx      | sha256:61e922f76918dd3d8e0abdc5fb7406f390609e08bd8ab9e5d3b97afb00f30f8c |
+| yolov4.onnx      | sha256:7c7343156c1bd4b397fd1e44b27334691a6219db3ce2e29a03b72af65ddb8f39 |
+| yolov4-tiny.onnx | sha256:0e877c716fbf8a2b431ee3e57f6c7411a6741319b52c32c6dafc53c7e1b17027 |
+| yolov5s.onnx     | sha256:be335ff7746957debf1a6903a61fa3f568b780b4afe4958edf2d4bc98e9e0825 |
+| yolov5m.onnx     | sha256:ee6f67f7c00a34cc4cef2fdd9db30dd714df1a4fb2d7e9fc1731cfe85b673133 |
+| yolov5l.onnx     | sha256:a627e5f70180a8746482b572194090466db62c8d1256602c1cd20374dd960e34 |
+| yolov5x.onnx     | sha256:d7cb4cd7078f87bda22a37828d72867accecedf9f74d0d87b5cc1f6f1180a019 |
+| coco.names       | sha256:634a1132eb33f8091d60f2c346ababe8b905ae08387037aed883953b7329af84 |
 
+```console
 $ mkdir -p ~/autoware_data/tensorrt_yolo/
 $ wget -P ~/autoware_data/tensorrt_yolo/ \
-       https://awf.ml.dev.web.auto/perception/models/yolov3.onnx \
-       https://awf.ml.dev.web.auto/perception/models/yolov4.onnx \
+       https://awf.ml.dev.web.auto/perception/models/c \
+       https://awf.ml.dev.web.auto/perception/models/c \
        https://awf.ml.dev.web.auto/perception/models/yolov4-tiny.onnx \
        https://awf.ml.dev.web.auto/perception/models/yolov5s.onnx \
        https://awf.ml.dev.web.auto/perception/models/yolov5m.onnx \
        https://awf.ml.dev.web.auto/perception/models/yolov5l.onnx \
        https://awf.ml.dev.web.auto/perception/models/yolov5x.onnx \
        https://awf.ml.dev.web.auto/perception/models/coco.names
+```
 
+#### tensorrt_yolox
 
-# tensorrt_yolox
+| file             | checksum                                                                |
+|------------------|-------------------------------------------------------------------------|
+| yolox-tiny.onnx                             | sha256:471a665f4243e654dff62578394e508db22ee29fe65d9e389dfc3b0f2dee1255 |
+| yolox-sPlus-opt.onnx                        | md5:bf3b0155351f90fcdca2626acbfd3bcf                                    |
+| yolox-sPlus-opt.EntropyV2-calibration.table | md5:c6e6f1999d5724a017516a956096701f                                    |
+| label.txt                                   | sha256:3540a365bfd6d8afb1b5d8df4ec47f82cb984760d3270c9b41dbbb3422d09a0c |
 
+```console
 $ mkdir -p ~/autoware_data/tensorrt_yolox/
 $ wget -P ~/autoware_data/tensorrt_yolox/ \
        https://awf.ml.dev.web.auto/perception/models/yolox-tiny.onnx \
        https://awf.ml.dev.web.auto/perception/models/yolox-sPlus-opt.onnx \
        https://awf.ml.dev.web.auto/perception/models/yolox-sPlus-opt.EntropyV2-calibration.table \
        https://awf.ml.dev.web.auto/perception/models/label.txt
+```
 
+#### traffic_light_classifier 
 
-# traffic_light_classifier
+| file             | checksum                                                                                                     |
+|------------------|--------------------------------------------------------------------------------------------------------------|
+| traffic_light_classifier_mobilenetv2_batch_1.onnx     | md5:caa51f2080aa2df943e4f884c41898eb                                    |
+| traffic_light_classifier_mobilenetv2_batch_4.onnx     | md5:c2beaf60210f471debfe72b86d076ca0                                    |
+| traffic_light_classifier_mobilenetv2_batch_6.onnx     | md5:28b408710bcb24f4cdd4d746301d4e78                                    |
+| traffic_light_classifier_efficientNet_b1_batch_1.onnx | md5:82baba4fcf1abe0c040cd55005e34510                                    |
+| traffic_light_classifier_efficientNet_b1_batch_4.onnx | md5:21b549c2fe4fbb20d32cc019e6d70cd7                                    |
+| traffic_light_classifier_efficientNet_b1_batch_6.onnx | md5:378526d9aa9fc6705cf399f7b35b3053                                    |
+| lamp_labels.txt                                       | sha256:1a5a49eeec5593963eab8d70f48b8a01bfb07e753e9688eb1510ad26e803579d |
 
+```console
 $ mkdir -p ~/autoware_data/traffic_light_classifier/
 $ wget -P ~/autoware_data/traffic_light_classifier/ \
        https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier/v2/traffic_light_classifier_mobilenetv2_batch_1.onnx \
@@ -80,20 +136,34 @@ $ wget -P ~/autoware_data/traffic_light_classifier/ \
        https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier/v2/traffic_light_classifier_efficientNet_b1_batch_4.onnx \
        https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier/v2/traffic_light_classifier_efficientNet_b1_batch_6.onnx \
        https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier/v2/lamp_labels.txt
+```
 
+#### traffic_light_fine_detector
 
-# traffic_light_fine_detector
+| file             | checksum                                     |
+|------------------|----------------------------------------------|
+| tlr_yolox_s_batch_1.onnx | md5:2b72d085022b8ee6aacff06bd722cfda |
+| tlr_yolox_s_batch_4.onnx | md5:4044daa86e7776ce241e94d98a09cc0e |
+| tlr_yolox_s_batch_6.onnx | md5:47255a11bde479320d703f1f45db1242 |
+| tlr_labels.txt           | md5:e9f45efb02f2a9aa8ac27b3d5c164905 |
 
+```console
 $ mkdir -p ~/autoware_data/traffic_light_fine_detector/
 $ wget -P ~/autoware_data/traffic_light_fine_detector/ \
        https://awf.ml.dev.web.auto/perception/models/tlr_yolox_s/v2/tlr_yolox_s_batch_1.onnx \
        https://awf.ml.dev.web.auto/perception/models/tlr_yolox_s/v2/tlr_yolox_s_batch_4.onnx \
        https://awf.ml.dev.web.auto/perception/models/tlr_yolox_s/v2/tlr_yolox_s_batch_6.onnx \
        https://awf.ml.dev.web.auto/perception/models/tlr_yolox_s/v2/tlr_labels.txt
+```
 
+#### traffic_light_ssd_fine_detector
 
-# traffic_light_ssd_fine_detector
+| file             | checksum                                                                     |
+|------------------|------------------------------------------------------------------------------|
+| mb2-ssd-lite-tlr.onnx | sha256:e29e6ee68751a270fb285fd037713939ca7f61a897b4c3a7ab22b0d6a9a21ddf |
+| voc_labels_tl.txt     | sha256:a41e6e3324e32c30b3b2fe38908eaf3471e2bfdaeb9e14ca0c1c3bc0275119c6 |
 
+```console
 $ mkdir -p ~/autoware_data/traffic_light_ssd_fine_detector/
 $ wget -P ~/autoware_data/traffic_light_ssd_fine_detector/ \
        https://awf.ml.dev.web.auto/perception/models/mb2-ssd-lite-tlr.onnx \