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How to process memories frame by frame
Sorry to bother. Another question. So far, my experience in coding is not so much. I want to reduce the memories by changing codes to process frame by frame but don't know how. Could you please give me some hints? Thank you so much!
You can add an extra option --ref 2
when you test.
You can add an extra option
--ref 2
when you test.
But this will make the performance drop, I mean how to process memories frame by frame while preserving the accuracy, like you said in readme.
So sorry to bother, I have another question. In model/colorizer.py lines 45-46, I fail to figure out why do you add one-hot operation in inference stage?Looking forward to your reply!
This is to enable multi-object tracking in a single inference's time (DAVIS, Youtube-VOS). Basically each one-hot label represents an instance label.