(Image from https://github.com/Tianxiaomo/pytorch-YOLOv4/blob/master/data/dog.jpg)
Shape : (batch_size, 3, 416, 416)
Range : [0.0, 1.0]
- boxes shape : (batch_size, 2535, 1, position)
- confs shape : (batch_size, 2535, category_probability)
- category_probability : [probability, ] * 80
- probability : [0.0,1.0]
- position : left, top, right, bottom [0,1]
Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.
For the sample image,
$ python3 yolov4-tiny.py
If you want to specify the input image, put the image path after the --input
option.
You can use --savepath
option to change the name of the output file to save.
$ python3 yolov4-tiny.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH
By adding the --video
option, you can input the video.
If you pass 0
as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.
$ python3 yolov4-tiny.py --video VIDEO_PATH
Pytorch
ONNX opset=11