Comments (1)
valid
represents: for each timestep, is the annotation in trajs_g
valid or not?
For a while I experimented with using vis
in the mask too (so that we only apply loss on timesteps where the target is visible), but valid
seemed to be enough.
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Related Issues (20)
- About the sigmoid activation funcion HOT 2
- Does PIPs process each of the S=8 frames independently, without sharing any information between frames? HOT 2
- Wrong xy order when sampling the correlation map
- Feature representation not locked in test-time trajectory linking? HOT 2
- Typo in train.py, train_iterloader = iter(val_dataloader) HOT 1
- how to register two images by using this project? HOT 1
- Evaluation Code for KITTI HOT 4
- Questions about preparing the training set HOT 1
- Should it be "x / div_term", not "x * div_term"? HOT 2
- How do you extract only the point trajectories of an object in the demo? HOT 1
- About training settings HOT 6
- Demo.py not running as expected HOT 2
- Trajectories HOT 3
- PointOdyssey Evaluation Protocol Details HOT 3
- Instruction to trian PiPs++ HOT 2
- Why is there some small jittering in the PointOdyssey dataset?
- how to finetune on my rgb dataset
- Great job! But there's something I'm missing HOT 1
- How to track for only next 1 frame HOT 1
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