Refactor datasets to use slippy map dataset abstractions
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- Python
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Description
At the moment we still have our old dataset classes not yet working with the slippy map directory datsets:
https://github.com/mapbox/robosat/blob/52299b855b77225b795b015944e31cbddb9ce44b/robosat/datasets.py
Tasks:
- remove the ImageDirectory dataset as it is unused
- implement the BufferedSlippyMapDirectory on top of the SlippyMapDirectoryDataset
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
Start with robosat/datasets.py at the referenced revision and inspect the existing ImageDirectory, SlippyMapDirectoryDataset, and BufferedSlippyMapDirectory classes. Confirm how the slippy map directory abstraction is used elsewhere before making changes. Done means ImageDirectory is removed and BufferedSlippyMapDirectory is implemented on top of SlippyMapDirectoryDataset.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100