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face-mask-detection

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face-mask-detection

Input

Input

(Images from https://pixabay.com/ja/photos/%E3%83%95%E3%82%A7%E3%83%AA%E3%83%BC-%E8%88%B9-%E4%B9%97%E5%AE%A2-%E3%82%AF%E3%83%AB%E3%83%BC%E3%82%BA-5484417/)

Shape : (1, 3, 416, 416) Range : [0.0, 1.0]

Output

Output

  • category : [no_mask, mask]
  • probablity : [0.0,1.0]
  • position : x, y, w, h [0,1]

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 face-mask-detection.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 face-mask-detection.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 face-mask-detection.py --video VIDEO_PATH

By adding the -a mb2-ssd option, you can use mobilenet-ssd version.

$ python3 face-mask-detection.py -a mb2-ssd

Reference

Framework

Keras 2.2.4

Model Format

ONNX opset=10 (Obfuscated by ailia SDK)

Netron

face-mask-detection-yolov3-tiny.opt.onnx.prototxt

face-mask-detection-mb2-ssd-lite.onnx.prototxt