Closed RSKothari closed 4 years ago
The face alignment network takes as input a 256x256px image, out of which the face is around 200-220px height. That detector doesn't care too much about resolution as long as its not very small or extremely large (ie >1000px). Of course, smaller images will be faster at least during the face detection stage.
Thanks. In what range does the detector return the face crops? Is it normalized to the Surrey face model?
No, there is no facial modeling involved. The detection themselves are following the Wider face dataset distribution while the crop adjustment its chosen empirically.
What resolution would you recommend I pass your module for head crops?