Shape : (1, 3, 640, 640)
Range : [0.0, 1.0]
Color : RGB
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 yolov5.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 yolov5.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 yolov5.py --video VIDEO_PATH
You can use --arch
option to change the model architecture.
$ python3 yolov5.py --arch yolov5m
You can use --detection_width
and --detection_height
options to change the detection resolution
$ python3 yolov5.py --detection_width 1280 --detection_height 640
Pytorch
ONNX opset=11