Comments (2)
ericwang0701
commented on August 18, 2024
I just found a temporary solution to this issue. In the DROID-SLAM, the motion_filter.py filters incoming frames so that there is enough motion. If the camera is fixed, the computed value will be below the current default value of 2.5 and not be added in the later processing. So what I did is lower the threshold value to 0.1 and it works for video with the fixed camera now.
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vye16
commented on August 18, 2024
Hi, thank you for bringing this up, changing the filter_thresh argument in run_slam.py is a great fix. I also updated the script to handle this case in which there is only one keyframe in the SLAM map in commit a75251f
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Related Issues (20)
- colab error in the last step HOT 3
- Camera motion information HOT 3
- Segmentation fault while running run_vis,py HOT 1
- Solution to omit frames where there are no people? It is causing 0 Batch size issue HOT 2
- evaluate on 3dpw but got incorrect camera visualzation
- issues with run_vis
- Cuda Out of Memory HOT 1
- Time limit on length of output? HOT 1
- Issue in code? HOT 3
- Dropbox dataset and dependency link has been temporarily banned - Any other link?
- Google Colab not working HOT 1
- Why I have no output? HOT 4
- About initial root translation HOT 1
- What is the use of cameras.json? HOT 3
- Information on Output Files
- Why is camera coordinate data passed to SMPLLoss during computing MotionLoss?
- Why is it super slow ? the rendering time is too much,
- basicModel_neutral_lbs_10_207_0_v1.0.0.pkl 404 HOT 8
- Can this project not be configured in windows environment?
- FileNotFound error model_config.yaml
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