Comments (6)
You can try :
bash colmap.sh data/dynerf/cut_roasted_beef llff
to generate the sfm point firstly and then train the model.
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You can try :
bash colmap.sh data/dynerf/cut_roasted_beef llff
to generate the sfm point firstly and then train the model.
Thanks for your reply! And I would also like to ask what frame rate you use to train the dynerf dataset to achieve the effects mentioned in the paper?
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first frame :)
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first frame :)
e, how many photos are used to train for one camera to achieve the results in the paper? 300,150 or less?
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OK. Thanks for your reply!
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Related Issues (20)
- Windows Implementation HOT 2
- 单摄像机数据集 HOT 6
- Failed generate point clouds from input data using cut_roasted_beef dataset HOT 2
- A problem on training HOT 1
- No such file or directory:cam103 HOT 1
- Viewer doesn't appear dynamic HOT 4
- 是否解决缺陷 HOT 1
- Merging 4DGS Mismatch Error
- Training failure due to the scale difference between the offset and the canonical space gs. HOT 4
- Camera path during render HOT 3
- Poor Reconstruction Results on Custom Data HOT 1
- 运行 (4dgs2) zc107552403943@gpuadmin-G560-V5:~/4DGaussians$ bash colmap.sh data/dynerf/cook_spinach llff出错 HOT 1
- Training error on cook_spinach HOT 1
- How to view the training result on Ubuntu HOT 3
- Discrepancy in Rendered Video Resolution and Block Size Warning HOT 1
- Render was "Killed"
- Viewing Results on SIBR VIEWER HOT 2
- Poor rendering HOT 6
- Difference between 4K4D HOT 1
- 针对单相机的提问 HOT 6
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