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ResNet Facial Feature Detection

input

Ailia input shape: (1, 1, 226, 226)
Range: [0, 1]

output

Result_image

The raw output of our model is a list of 15 coordinates of feature points.

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 facial_feature.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 facial_feature.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 facial_feature.py --video VIDEO_PATH

Reference

kaggle-facial-keypoints

Framework

PyTorch 1.2.0

Model Format

ONNX opset = 10

Netron

resnet_facial_feature.onnx.prototxt