- Stitch tiles by specifying length and breadth of tiles.
- Get roads route in json format from specified latitude longitudes, this can help the data scientists to create optimal routes from point A to B.
- Convert all the class of objects present in the map to JSON data via image processing, which can help the geoscientists to process information at a large scale.
- Find all the unique items that can be present in the map. (Like caffe icon, shop icon, temple icon etc.)
- Fetch all the necessary objects (shops/caffe etc.) that are queried to in a certain radius of coordinate.
- Probably use other 3D data to create 3D world from satellite 2D imagery.
- Create a conda package
- Generate a high resolution map by assembling tiles, similar to label-maker.
- Probably make a documentation website similar to
Note:
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Probably create a separate module for all these stuffs
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Also create a separate branch like feature-name for each feature, and then after all the tests and stuffs, merge them to master branch.
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Maintain the CHANGELOG.md in a detailed way from now onwards (Only add significant changes after deploying to master)
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After a feature is deployed to master, [x] it here.
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Master should always contain production-ready code for deployment to pip and conda