facebookresearch / facebookresearch/co-tracker
Evaluate on custom dataset
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Description
Now, my data has video frames + segmentation mask for each frame. My target: creating my dataset to evaluate Cotracker in my case study.
Can you give me dataset structure example?
1. On github you mentioned download dataset "TAP-Vid". Can you explain more?
2. Or you can send me of "DAVIS First" test set that you used. My email: ah23975@bristol.ac.uk
3. As I understand: inputs are Frames + segmentation mask + raft masks and the label (annotation) is list points track in every frame. Do I missing some thing? Please let me know your pre-processing.
Thanks
Dat
Contributor guide
Research direction
Start by reviewing the CoTracker evaluation documentation and the TAP-Vid and DAVIS First dataset references mentioned in the issue. Clarify the expected frames, segmentation masks, RAFT masks, point-track annotations, and preprocessing steps; done means the repository contains a documented custom-dataset structure and evaluation workflow.
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Assessment
- Tech stack
- jupyter-notebook
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100