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We have a largish database of photos, georeferenced in Austria and we want to visualise them in the map. Once you zoom in, the photos should be displayed as billboards in 3d. you should be able to adjust the exact position, direction / rotation and fov, such that you can match it perfectly with the rendered terrain in the back. The adjustments should be written back to the database.
populate a postgis db with the images (move the images to a folder, and db has only the reference to its filename)
generate previews on the server (let chatgpt write a script that runs for all images)
fetch data using vector tiles and gets
display as previews (zoomed out) and billboards (zoomed in)
implement adjustment controls
implement db update (with permission key only, no user management! the permission key will be hardcoded for now, you only need to implement a minimal serverside script for the update)
Bonus: implement feature matching and compute the adjustments automatically
The text was updated successfully, but these errors were encountered:
We have a largish database of photos, georeferenced in Austria and we want to visualise them in the map. Once you zoom in, the photos should be displayed as billboards in 3d. you should be able to adjust the exact position, direction / rotation and fov, such that you can match it perfectly with the rendered terrain in the back. The adjustments should be written back to the database.
The text was updated successfully, but these errors were encountered: