Comments (1)
- "mvsnet_xxx_l3.ply" is the final point cloud output of the scan xxx, and other ply files (e.g., scan1/ply_local/00000000.ply) are the intermediate point clouds for simple visualization. To be more specific, to produce 00000000.ply, we run the model for 00000000.png (along with its source images) and generate the depth map for 00000000.png. Then we can convert the depth map to point cloud file 00000000.ply with the camera parameters. In contrast, to produce mvsnet_xxx_l3.ply, we have to run the model for every single frame (000000.png-xxxxxx.png), and generate depth maps for each of them, subsequently, these depth maps are fused to calculate the mvsnet_xxx_l3.ply.
- mvsnetXXX_l3.ply is used to evaluate the DTU dataset for model comparison.
- see 1
- You can use Open3d to visualize these point clouds. For better visualization, you may want to visualize the whole point cloud of the scan (mvsnetXXX_l3.ply ), instead of the point cloud from a single depth map (0000000.ply).
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Related Issues (20)
- LICENSE HOT 1
- question about pretrained model HOT 2
- Where is the script for evaluation on tt?
- Cannot reproduce results - retraining results in overconfident model HOT 3
- Multi-scale camera projection matrices
- Rectified_raw cannot be downloaded
- whether parameters other than images are required? HOT 1
- Is DeformConvPack necessary when I train? HOT 1
- ValueError: cannot select an axis to squeeze out which has size not equal to one
- Training jammed on epoch 1 HOT 1
- Why Epipolar ?
- Are DTU results reported in the paper trained on 640 or 1280? HOT 4
- Test only generate 4 ply files
- RUN train_mvs4.py HOT 1
- Is there any other way to download the dataset? HOT 3
- Fine tuning on other datasets
- Potential for Stereo Matching? HOT 1
- A qustion about mono depth HOT 2
- question about test_mvs4.py
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