yolov6

YOLOV6

Input

(Image from https://github.com/RangiLyu/nanodet/blob/main/demo_mnn/imgs/000252.jpg)

Ailia input shape: (1, 3, 640, 640)

Output

Usage

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 yolov6.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 yolov6.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 yolov6.py --video VIDEO_PATH

You can use --model_name option to change the model architecture.

$ python3 yolovv6.py --model_name yolov6t

You can use --detection_width and --detection_height options to change the detection resolution

$ python3 yolov6.py --detection_width 640 --detection_height 640

Reference

YOLOV6

Framework

Pytorch

Model Format

ONNX opset = 12

Netron

yolov6n.onnx.prototxt

yolov6s.onnx.prototxt

yolov6t.onnx.prototxt