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https://github.com/weirme/Video_Summary_using_FCSN/blob/0895cccbb2a488369b1bfc7d2c087b3050250898/make_dataset.py#L53-L56
Because googlenet is only for feature extraction, it should be in eval mode.
Remember that you must call model.eval() to set dropout and batch normalization layers to evaluation mode before running inference. Failing to do this will yield inconsistent inference results.
The text was updated successfully, but these errors were encountered:
switch googlenet to eval mode as mentioned in #16
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https://github.com/weirme/Video_Summary_using_FCSN/blob/0895cccbb2a488369b1bfc7d2c087b3050250898/make_dataset.py#L53-L56
Because googlenet is only for feature extraction, it should be in eval mode.
Remember that you must call model.eval() to set dropout and batch normalization layers to evaluation mode before running inference. Failing to do this will yield inconsistent inference results.
The text was updated successfully, but these errors were encountered: