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Geralt_of_Rivia 2023-12-11 13:32:30 +08:00 committed by GitHub
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@ -122,21 +122,21 @@ merge your trained 4dgs.
usage:
```python
export exp_name="dynerf"
python merge_many_4dgs.py --model_path output/$exp_name/flame_salmon_1
python merge_many_4dgs.py --model_path output/$exp_name/sear_steak
```
`colmap.sh`:
generate point clouds from input data
```bash
bash colmap.sh data/hypernerf/virg/vrig-chicken hypernerf
bash colmap.sh data/dynerf/flame_salmon_1 llff
bash colmap.sh data/dynerf/sear_steak llff
```
**Blender** format seems doesn't work. Welcome to raise a pull request to fix it.
`downsample_point.py` :downsample generated point clouds by sfm.
```python
python scripts/downsample_point.py data/dynerf/sear_steak/points3D_downsample.ply data/dynerf/sear_steak/points3D_downsample2.ply
python scripts/downsample_point.py data/dynerf/sear_steak/colmap/dense/workspace/fused.ply data/dynerf/sear_steak/points3D_downsample2.ply
```
In my paper, I always use `colmap.sh` to generate dense point clouds and downsample it to less than 40000 points.