ValueError: too many values to unpack (expected 3) about lipreading_using_temporal_convolutional_networks HOT 5 CLOSED

Hi, the sequence of mouth ROIs (before cropping) is saved with grayscale video. data should have a shape of (T, H, W), where T is the amount of frames. H and W denote the height and width, respectively. Can you print the filename self.list[idx][0] at dataset.py#L109 and data at dataset.py#L115 to target the problematic file and check its shape?

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Hi, I did not use the --convert-grayscale option hence this issue had arisen. The issue is resolved now. Thank you so much for your help!

from lipreading_using_temporal_convolutional_networks.

Hey,can you tell how to use the --convert-grayscale option

from lipreading_using_temporal_convolutional_networks.

Hello @rohith-crypto you can pass the argument --convert-grayscale to the command line when running crop_mouth_from_video.py. Please check an example at preprocessing/README.md

from lipreading_using_temporal_convolutional_networks.

Hi, I did not use the --convert-grayscale option hence this issue had arisen. The issue is resolved now. Thank you so much for your help!

please can you show as how you are solve in code ?

from lipreading_using_temporal_convolutional_networks.