refactoring about ailia-models HOT 8 CLOSED

$ python3 arcface.py -h
usage: arcface.py [-h] [-i IMAGE IMAGE] [-v VIDEO IMAGE] [-b]

Determine if the person is the same from two facial images.

optional arguments:
  -h, --help            show this help message and exit
  -i IMAGE IMAGE, --inputs IMAGE IMAGE
                        Two image paths for calculating the face match.
  -v VIDEO IMAGE, --video VIDEO IMAGE
                        Determines whether the face in the video file
                        specified by VIDEO and the face in the image file
                        specified by IMAGE are the same. If the VIDEO argument
                        is set to 0, the webcam input will be used.
  -b, --benchmark       Running the inference on the same input 5 times to
                        measure execution performance. (Cannot be used in
                        video mode)

$ python3 arcface.py
ONNX file and Prototxt file are prepared!
env_id: 2
Start inference...
Similarity of (correct_pair_1.jpg, correct_pair_2.jpg) : 0.598
They are the same face!

$ python3 arcface.py -b
ONNX file and Prototxt file are prepared!
env_id: 2
Start inference...
BENCHMARK mode
	ailia processing time 740 ms
	ailia processing time 135 ms
	ailia processing time 129 ms
	ailia processing time 109 ms
	ailia processing time 101 ms
Similarity of (correct_pair_1.jpg, correct_pair_2.jpg) : 0.598
They are the same face!