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Improved image processing and added feature selection
thedynamicpacifAdded feature type selection to the image processing pipeline (app.py, templates/index.html, static/js/upload.js, utils/geospatial.py, utils/segmentation.py); updated dependency management (pyproject.toml); added example notebook (attached_assets/Pasted--cells...). The `process_image_to_geojson` function now takes a `feature_type` argument. The segmentation is now more robust, able to handle various feature types. Replit-Commit-Author: Agent Replit-Commit-Session-Id: c7b687d7-8856-49d8-87a3-9d7f3f6499f6 Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/d7727d0d-3b25-49de-9476-c76c61abfa65/a2230609-9c84-43a6-8556-f1ca64f39de6.jpg5cf313a -
Improved map image display
thedynamicpacifAdded shapely library and updated image processing to improve GeoJSON polygon generation, fixing issues with excessive polygons and incorrect map display. The `utils/geospatial.py`, `app.py`, `.replit` and `pyproject.toml` files were modified. Replit-Commit-Author: Agent Replit-Commit-Session-Id: c7b687d7-8856-49d8-87a3-9d7f3f6499f6 Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/d7727d0d-3b25-49de-9476-c76c61abfa65/751a3a96-c7ad-42a9-a160-a9b0b9f7217c.jpg2efe8b1
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Adds image-to-GeoJSON processing
thedynamicpacifAdds a Flask web application to process uploaded images, convert them to GeoJSON using OpenCV and GDAL (if available), and display the results on a Leaflet map. Includes file uploads, error handling, and download functionality. The application uses `app.py`, `main.py`, `utils/image_processing.py`, `utils/geo_processing.py`, and associated static files and templates. Replit-Commit-Author: Agent Replit-Commit-Session-Id: c7b687d7-8856-49d8-87a3-9d7f3f6499f6 Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/d7727d0d-3b25-49de-9476-c76c61abfa65/142cb962-b872-46ed-96ac-2c68830b8dbb.jpg3a84963