## What this stage does Trains a 3D Gaussian Splat from your COLMAP data using LichtFeld Studio. Expect 10–30 minutes on a modern NVIDIA GPU. ## Tasks - [ ] 1. Confirm NVIDIA driver is 570 or newer: run `nvidia-smi` and check Driver Version - [ ] 2. Launch LichtFeld Studio binary from your download folder - [ ] 3. GUI: File > Import Dataset > select `my_room_colmap/` folder - [ ] 4. OR CLI headless: `./LichtFeld-Studio -d ./captures/my_room_colmap -o ./output/my_room --strategy mcmc --max-cap 500000 --headless --bilateral-grid -i 30000` - [ ] 5. Monitor loss curve in viewer — should decrease steadily (flat = bad capture data, see troubleshooting.md) - [ ] 6. Wait for training to complete at iteration 30000 - [ ] 7. Locate output: `./output/my_room/point_cloud/iteration_30000/point_cloud.ply` - [ ] 8. Open .ply in LichtFeld Studio viewer and visually confirm room is recognizable **Next step:** When all 8 tasks are checked, close this issue and open Issue #6.
What this stage does
Trains a 3D Gaussian Splat from your COLMAP data using LichtFeld Studio.
Expect 10–30 minutes on a modern NVIDIA GPU.
Tasks
nvidia-smiand check Driver Versionmy_room_colmap/folder./LichtFeld-Studio -d ./captures/my_room_colmap -o ./output/my_room --strategy mcmc --max-cap 500000 --headless --bilateral-grid -i 30000./output/my_room/point_cloud/iteration_30000/point_cloud.plyNext step: When all 8 tasks are checked, close this issue and open Issue #6.