how to do mtcnn crop before running test.py

[zhenglaizhang]

per the code in deploy/test.py:

parser.add_argument('--image-size', default='112,112', help='')

it seems that the input should be cropped as square with width as 112, however the mtcnn output may be rectangle, I thought the detailed steps to run test.py are as below:

1. use mtcnn to crop the face images with margin 44
2. resize cropped face to 112x112
3. run test.py and the script will do face alignment with mtcnn

I am curious if my understanding is wrong, I thought the alignment before resizing should be more reliable?

[nttstar]

There's no limit of input image size, 112,112 is the data shape config of recognition network.

[zhenglaizhang]

sounds great, thanks for the quick response!