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