diff --git a/mainscripts/Extractor.py b/mainscripts/Extractor.py index 8dc005e..13e79b0 100644 --- a/mainscripts/Extractor.py +++ b/mainscripts/Extractor.py @@ -135,7 +135,7 @@ class ExtractSubprocessor(Subprocessor): if filename_path.suffix == '.png': src_dflimg = DFLPNG.load ( str(filename_path) ) if filename_path.suffix == '.jpg': - src_dflimg = DFLPNG.load ( str(filename_path) ) + src_dflimg = DFLJPG.load ( str(filename_path) ) if 'rects' in self.type: if min(w,h) < 128: @@ -242,23 +242,35 @@ class ExtractSubprocessor(Subprocessor): if self.debug_dir is not None: LandmarksProcessor.draw_rect_landmarks (debug_image, rect, image_landmarks, self.image_size, self.face_type, transparent_mask=True) - if src_dflimg is not None and filename_path.suffix == '.jpg': - #if extracting from dflimg and jpg copy it in order not to lose quality - output_file = str(self.final_output_path / filename_path.name) - if str(filename_path) != str(output_file): - shutil.copy ( str(filename_path), str(output_file) ) - else: - output_file = '{}_{}{}'.format(str(self.final_output_path / filename_path.stem), str(face_idx), '.png') - cv2_imwrite(output_file, face_image, [int(cv2.IMWRITE_PNG_COMPRESSION), 0] ) + if filename_path.suffix == '.jpg': - DFLPNG.embed_data(output_file, face_type=FaceType.toString(self.face_type), - landmarks=face_image_landmarks.tolist(), - source_filename=filename_path.name, - source_rect=rect, - source_landmarks=image_landmarks.tolist(), - image_to_face_mat=image_to_face_mat, - pitch_yaw_roll=data.pitch_yaw_roll - ) + # if extracting from dflimg and jpg copy it in order not to lose quality + output_file = '{}_{}{}'.format(str(self.final_output_path / filename_path.stem), + str(face_idx), '.jpg') + if str(filename_path) != str(output_file): + shutil.copy(str(filename_path), str(output_file)) + cv2_imwrite(output_file, face_image, [int(cv2.IMWRITE_JPEG_QUALITY), 95]) + DFLJPG.embed_data(output_file, face_type=FaceType.toString(self.face_type), + landmarks=face_image_landmarks.tolist(), + source_filename=filename_path.name, + source_rect=rect, + source_landmarks=image_landmarks.tolist(), + image_to_face_mat=image_to_face_mat, + pitch_yaw_roll=data.pitch_yaw_roll + ) + else: + + output_file = '{}_{}{}'.format(str(self.final_output_path / filename_path.stem), + str(face_idx), '.png') + cv2_imwrite(output_file, face_image, [int(cv2.IMWRITE_PNG_COMPRESSION), 3]) + DFLPNG.embed_data(output_file, face_type=FaceType.toString(self.face_type), + landmarks=face_image_landmarks.tolist(), + source_filename=filename_path.name, + source_rect=rect, + source_landmarks=image_landmarks.tolist(), + image_to_face_mat=image_to_face_mat, + pitch_yaw_roll=data.pitch_yaw_roll + ) data.final_output_files.append (output_file) face_idx += 1 diff --git a/models/ModelBase.py b/models/ModelBase.py index 639d6a7..161d0dc 100644 --- a/models/ModelBase.py +++ b/models/ModelBase.py @@ -166,14 +166,10 @@ class ModelBase(object): else: self.options['sort_by_yaw'] = self.options.get('sort_by_yaw', False) - if ask_random_flip: - if (self.iter == 0): - self.options['random_flip'] = io.input_bool("Flip faces randomly? (y/n ?:help skip:y) : ", True, - help_message="Predicted face will look more naturally" - " without this option, but src faceset should" - " cover all face directions as dst faceset.") - else: - self.options['random_flip'] = self.options.get('random_flip', True) + + if ask_override: + self.options['random_flip'] = io.input_bool("Flip faces randomly? (y/n ?:help skip:y) : ", True, help_message="Predicted face will look more naturally without this option, but src faceset should cover all face directions as dst faceset.") + if ask_src_scale_mod: if self.iter == 0: