extractor: added ability to re-extract dst faces with transferring all necessary meta data
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@@ -163,17 +163,30 @@ class ExtractSubprocessor(Subprocessor):
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output_file = '{}_{}{}'.format(str(self.output_path / filename_path.stem), str(face_idx), '.jpg')
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output_file = '{}_{}{}'.format(str(self.output_path / filename_path.stem), str(face_idx), '.jpg')
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face_idx += 1
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face_idx += 1
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landmarks=face_image_landmarks.tolist()
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source_filename = filename_path.name
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source_landmarks = image_landmarks.tolist()
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source_rect = rect
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if src_dflimg is not None:
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if src_dflimg is not None:
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#if extracting from dflimg just copy it in order not to lose quality
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#if extracting from dflimg copy it in order not to lose quality
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output_file = str(self.output_path / filename_path.name)
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shutil.copy ( str(filename_path), str(output_file) )
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shutil.copy ( str(filename_path), str(output_file) )
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#and transfer data
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source_filename = src_dflimg.get_source_filename()
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mat = src_dflimg.get_image_to_face_mat()
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if mat is not None:
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image_to_face_mat = mat
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source_landmarks = LandmarksProcessor.transform_points (landmarks, image_to_face_mat, True)
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else:
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else:
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cv2_imwrite(output_file, face_image, [int(cv2.IMWRITE_JPEG_QUALITY), 85] )
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cv2_imwrite(output_file, face_image, [int(cv2.IMWRITE_JPEG_QUALITY), 85] )
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DFLJPG.embed_data(output_file, face_type = FaceType.toString(self.face_type),
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DFLJPG.embed_data(output_file, face_type=FaceType.toString(self.face_type),
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landmarks = face_image_landmarks.tolist(),
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landmarks=landmarks,
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source_filename = filename_path.name,
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source_filename=source_filename,
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source_rect= rect,
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source_rect=source_rect,
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source_landmarks = image_landmarks.tolist()
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source_landmarks=source_landmarks,
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image_to_face_mat=image_to_face_mat
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)
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)
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result.append (output_file)
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result.append (output_file)
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