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Update app.py
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app.py
CHANGED
@@ -99,9 +99,10 @@ audio2exp_yaml_path = os.path.join(current_root_path, 'src', 'config', 'auido2ex
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free_view_checkpoint = os.path.join(current_root_path, 'checkpoints', 'facevid2vid_00189-model.pth.tar')
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# Function for running the actual task (using preprocessed data)
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def process_chunk(audio_chunk,
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print("Entered Process Chunk Function")
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global audio2pose_checkpoint, audio2pose_yaml_path, audio2exp_checkpoint, audio2exp_yaml_path, wav2lip_checkpoint
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global free_view_checkpoint
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if args.preprocess == 'full':
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mapping_checkpoint = os.path.join(current_root_path, 'checkpoints', 'mapping_00109-model.pth.tar')
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@@ -110,11 +111,16 @@ def process_chunk(audio_chunk, preprocessed_data, args):
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mapping_checkpoint = os.path.join(current_root_path, 'checkpoints', 'mapping_00229-model.pth.tar')
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facerender_yaml_path = os.path.join(current_root_path, 'src', 'config', 'facerender.yaml')
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first_coeff_path = preprocessed_data["first_coeff_path"]
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crop_pic_path = preprocessed_data["crop_pic_path"]
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crop_info_path = "/home/user/app/preprocess_data/crop_info.json"
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with open(crop_info_path , "rb") as f:
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print(f"Loaded existing preprocessed data")
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print("first_coeff_path",first_coeff_path)
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@@ -329,8 +335,8 @@ def generate_video():
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try:
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preprocessed_data = run_preprocessing(args)
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base64_video, temp_file_path = process_chunk(driven_audio_path,
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final_video_path = app.config['final_video_path']
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print('final_video_path',final_video_path)
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free_view_checkpoint = os.path.join(current_root_path, 'checkpoints', 'facevid2vid_00189-model.pth.tar')
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# Function for running the actual task (using preprocessed data)
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def process_chunk(audio_chunk, args):
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print("Entered Process Chunk Function")
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global audio2pose_checkpoint, audio2pose_yaml_path, audio2exp_checkpoint, audio2exp_yaml_path, wav2lip_checkpoint
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global path_of_lm_croper, path_of_net_recon_model, dir_of_BFM_fitting
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global free_view_checkpoint
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if args.preprocess == 'full':
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mapping_checkpoint = os.path.join(current_root_path, 'checkpoints', 'mapping_00109-model.pth.tar')
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mapping_checkpoint = os.path.join(current_root_path, 'checkpoints', 'mapping_00229-model.pth.tar')
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facerender_yaml_path = os.path.join(current_root_path, 'src', 'config', 'facerender.yaml')
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# first_coeff_path = preprocessed_data["first_coeff_path"]
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# crop_pic_path = preprocessed_data["crop_pic_path"]
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# crop_info_path = "/home/user/app/preprocess_data/crop_info.json"
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# with open(crop_info_path , "rb") as f:
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# crop_info = json.load(f)
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first_frame_dir = os.path.join(save_dir, 'first_frame_dir')
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os.makedirs(first_frame_dir, exist_ok=True)
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preprocess_model = CropAndExtract(path_of_lm_croper, path_of_net_recon_model, dir_of_BFM_fitting, args.device)
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first_coeff_path, crop_pic_path, crop_info = preprocess_model.generate(args.source_image, first_frame_dir, args.preprocess, source_image_flag=True)
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print(f"Loaded existing preprocessed data")
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print("first_coeff_path",first_coeff_path)
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try:
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# preprocessed_data = run_preprocessing(args)
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base64_video, temp_file_path = process_chunk(driven_audio_path, args)
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final_video_path = app.config['final_video_path']
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print('final_video_path',final_video_path)
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