y3-gen-terrain-from-image

To convert a 2D map image into Y3 Editor terrain, run the script with the image path to generate terrain_grid.csv and texture_grid.csv. It applies computer vision-based water and continent segmentation for automated terrain reconstruction.

Image-to-terrain generation processes standard image formats supported by OpenCV and Pillow, such as PNG and JPEG. The script analyzes the provided map image to segment water and continents for terrain CSV generation.

Yes, automated terrain reconstruction includes an optional Round 2 workflow that identifies decorations and writes them via MCP. This forms an end-to-end pipeline from image analysis to entity placement in the Y3 Editor.

Yes, the image to terrain CSV workflow requires OpenCV, NumPy, SciPy, and Pillow. These Python libraries execute the deterministic computer vision clustering, continent splitting, and texture mapping tasks.

The best way to generate terrain data from a hand-drawn sketch is using this end-to-end computer vision pipeline. It processes planning maps and strategic sketches by applying high-resolution clustering and water segmentation to output terrain CSVs.