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You should consider reducing the learning rate. It is highly recommended to track the alignment status using some asynchronous logging mechanism. A version that supports Neptune.ai may be released in the future.
I get some bad output from my video.
I think the model makes incorrect panoramic images, therefore the final results are not good as well...
The panoramic_robust_mean.png are like below.


Is there some way to improve outputs from my custom videos by manipulating the hyperparameter or something??
Thanks!!!
P.S
Those are my run command, so I used all the default arguments.
python src/DeepMCBM.py --dir video1
python src/DeepMCBM.py --dir video2
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