I am using Facexlib library to detect, crop (warpalign) and resize (512x512) the faces from photographic images (high resolutions 4K or above). In some cases, the output images are low quality even though faces is bigger in size more than 1Kx1K resolutions. Here is code in Facexlib library for detecting and cv2.warpalign the faces:
# get face landmarks for each face
# eye_dist_threshold=5: skip faces whose eye distance is smaller than 5 pixels
# align and warp each face
How can I detect and crop (warp and align) faces from high resolution images ? I tried different interpolation method, but there is no difference in image quality. I tried following interpolation methods: cv2.INTER_NEAREST cv2.INTER_LINEAR cv2.INTER_AREA cv2.INTER_CUBIC cv2.INTER_LANCZOS4
I tried multiple interpolation techniques in cv2.warpalign method as flags, but no difference in image quality.