Mask-RCNN tutorial one-line change suggestion
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Description
I would like to suggest changing the labels in Mask-RCNN tutorial from
labels = torch.ones((num_objs,), dtype=torch.int64)
to the following:
label = torch.as_tensor(obj_ids, dtype=torch.int64)
that will work if there are more than 2 types of object instances (num_objs) in the image. In fact, the new form will give the same exact vector of labels = torch.ones((num_objs,), dtype=torch.int64) and will work for any number of object instances. I have tried it with a dataset containing 60 object instances and all went well.
Kind regards
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Open the Mask-RCNN tutorial linked in the issue and locate the labels assignment containing torch.ones. Replace it with the suggested obj_ids-based assignment, then verify that the tutorial's example still uses the resulting labels for datasets with multiple object instances.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 55/100