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License: Creative Commons Attribution 4.0 International
While training it's giving error in train.py line number 182 as well as in data/custom_dataset_data_loader.py in line 50 for i, data in enumerate(dataset):
. If you can help me!
Hi, Thanks for sharing the pre-processing code. It is really helpful. I have a question about the frame extraction code.
In line 35-36 of the script generate_frame.py script, black images are saved. why is it done so? I guess this part only runs if in the dataset there are some files that are less than 10 seconds. Are there any such files? If so instead of the first images the last images should be save liked that. Please correct me if I have grossly misunderstood something.
Hi, as far I understood that while testing the video frames also needs to be passed but I'm facing an issue. In the demo.py
data = dataset.dataset.__getitem__(
curr_audio_path,
audio,
audio_start_time=sliding_window_start / opt.audio_sampling_rate,
audio_end_time=sliding_window_end / opt.audio_sampling_rate,
audio_start=sliding_window_start,
audio_end=sliding_window_end
)
In this I'm getting the error
"TypeError: getitem() got an unexpected keyword argument 'audio_start_time''
.
If you can help me in this regard, it would be helpful.
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