Open Unmesh28 opened 1 year ago
after running "run_pipeline.py", I am getting this error :
Stream mapping: Stream #0:1 -> #0:0 (mp3 (native) -> pcm_s16le (native)) Press [q] to stop, [?] for help Output #0, wav, to './synced_output/pyavi/0000.mp4/audio.wav': Metadata: ISFT : Lavf57.83.100 Stream #0:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 16000 Hz, mono, s16, 256 kb/s Metadata: encoder : Lavc57.107.100 pcm_s16le size= 137kB time=00:00:04.39 bitrate= 256.1kbits/s speed= 391x video:0kB audio:137kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.055499% [S3FD] loading with cuda Traceback (most recent call last): File "./run_pipeline.py", line 294, in <module> faces = inference_video(opt) File "./run_pipeline.py", line 187, in inference_video DET = S3FD(device='cuda') File "/media/SSD/syncnet_python/detectors/s3fd/__init__.py", line 22, in __init__ state_dict = torch.load(PATH_WEIGHT, map_location=self.device) File "/home/administrator/anaconda3/envs/sync1/lib/python3.8/site-packages/torch/serialization.py", line 795, in load return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args) File "/home/administrator/anaconda3/envs/sync1/lib/python3.8/site-packages/torch/serialization.py", line 1002, in _legacy_load magic_number = pickle_module.load(f, **pickle_load_args) EOFError: Ran out of input
这个是模型没有加载完全 v2.model没成功
yhcsyz
commented
4 months ago yhcsyz
commented
4 months ago
Stream mapping: Stream #0:1 -> #0:0 (mp3 (native) -> pcm_s16le (native)) Press [q] to stop, [?] for help Output #0, wav, to './synced_output/pyavi/0000.mp4/audio.wav': Metadata: ISFT : Lavf57.83.100 Stream #0:0: Audio: pcm_s16le ([1][0][0][0] / 0x0001), 16000 Hz, mono, s16, 256 kb/s Metadata: encoder : Lavc57.107.100 pcm_s16le size= 137kB time=00:00:04.39 bitrate= 256.1kbits/s speed= 391x video:0kB audio:137kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.055499% [S3FD] loading with cuda Traceback (most recent call last): File "./run_pipeline.py", line 294, in <module> faces = inference_video(opt) File "./run_pipeline.py", line 187, in inference_video DET = S3FD(device='cuda') File "/media/SSD/syncnet_python/detectors/s3fd/__init__.py", line 22, in __init__ state_dict = torch.load(PATH_WEIGHT, map_location=self.device) File "/home/administrator/anaconda3/envs/sync1/lib/python3.8/site-packages/torch/serialization.py", line 795, in load return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args) File "/home/administrator/anaconda3/envs/sync1/lib/python3.8/site-packages/torch/serialization.py", line 1002, in _legacy_load magic_number = pickle_module.load(f, **pickle_load_args) EOFError: Ran out of input