(Image from https://github.com/zhangzhengde0225/CDNet/tree/master/example/images)
If you input a video or multiple images, in addition to the bounding box, the result of the vector crossing method is drawn.
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 cdnet.py --input example --savepath output
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 cdnet.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 cdnet.py --video VIDEO_PATH
Pytorch
ONNX opset=11