def convert(self, converter, item):
try:
(filename, image, faces) = item
skip = self.check_skipframe(filename)
if self.arguments.discard_frames and skip:
return
if not skip: # process frame as normal
for idx, face in faces:
if self.input_aligned_dir is not None and self.check_skipface(
filename, idx):
print('face {} for frame {} was deleted, skipping'.
format(idx, os.path.basename(filename)))
continue
# Check for image rotations and rotate before mapping face
if face.r != 0:
image = rotate_image(image, face.r)
image = converter.patch_image(
image, face,
64 if "128" not in self.arguments.trainer else 128)
# TODO: This switch between 64 and 128 is a hack for now. We should have a separate cli option for size
image = rotate_image(image, face.r * -1)
else:
image = converter.patch_image(
image, face,
64 if "128" not in self.arguments.trainer else 128)
# TODO: This switch between 64 and 128 is a hack for now. We should have a separate cli option for size
output_file = get_folder(self.output_dir) / Path(filename).name
cv2.imwrite(str(output_file), image)
except Exception as e:
print('Failed to convert image: {}. Reason: {}'.format(
filename, e))
def get_faces_alignments(self, filename, image):
faces_count = 0
faces = self.faces_detected[os.path.basename(filename)]
for rawface in faces:
face = DetectedFace(**rawface)
# Rotate the image if necessary
if face.r != 0: image = rotate_image(image, face.r)
face.image = image[face.y:face.y + face.h, face.x:face.x + face.w]
if self.filter is not None and not self.filter.check(face):
print('Skipping not recognized face!')
continue
yield faces_count, face
self.num_faces_detected += 1
faces_count += 1
if faces_count > 1 and self.arguments.verbose:
print('Note: Found more than one face in an image! File: %s' %
filename)
self.verify_output = True