Extracting segmentation masks from bbox coordinates
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- Dominant language
- Python
- Stars
- 2.1k
- Forks
- 385
- PR merge metrics
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Description
Hello @daniel-j-h. Thank you for the amazing repository. However, I have some questions to use this repo for my project. I have an unlabeled dataset of UAV imagery with coordinates of bounding boxes ( min and max long and lat ). Is there a way to use your code to use OpenStreetMap to create segmentation masks as you did but instead by using coordinates of the bounding box of images?
Contributor guide
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
No files, tests, or entry points are identified; begin by clarifying whether coordinate-based mask generation is intended as a new feature and which existing OpenStreetMap workflow it should replace. Done would require a specified input/output workflow and acceptance criteria, which the issue currently does not provide.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100