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Evaluating a pre-trained model and a new model are the same. For example, you can set --model_id 1564419527 to evaluate RNN-SPL model (it is in the pre-trained models).
If you haven't set the environment variables mentioned in the training section, then you need to pass them as command-line arguments (--save_dir, --data_dir, --eval_dir). You can find an explanation for them in spl/evaluation.py file. Finally, --to_video flag stores videos.
In requirements.txt file tensorflow is not mentioned. When I run the code I'm getting the tensorflow error. Which tf version you used in this repo?
One more thing how we can visualize results from provided pre-trained weights? I'm unable to get detail info in readme file.
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