• probablity : [0.0,1.0]
• position : x, y, w, h [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 yolov1-face.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 yolov1-face.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 yolov1-face.py --video VIDEO_PATH

• YOLO-Face-detection
• convert between pytorch, caffe prototxt/weights and darknet cfg/weights

Darknet

CaffeModel

yolov1-face.prototxt