Ailia input shape: (2, 36, 60, 1)
Range: [-1.0, 1.0]
Shape: (2, 36, 60, 18)
Range: [0, 1.0]
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 gazeml.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 gazeml.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATHBy 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 gazeml.py --video VIDEO_PATHA deep learning framework based on Tensorflow for the training of high performance gaze estimation
TensorFlow 1.13.1
ONNX opset = 10