Comments (2)
The average confidence weights across the whole trajectory might not be the best indicator of camera pose estimation quality, since a single incorrect prediction in the middle of the video is enough for the rest of the trajectory to veer off.
Have you tried measuring the minimum average-weight over all optimization windows? This might indicate if a mistake was made at any point. Also, the solver residuals may be helpful as well.
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Hi @mkocabas Can you tell me where is the screen shot picture you put from? I am also interested in pose estimation confidence.Thanks
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Related Issues (20)
- model generalization issues
- Trouble with installing DPViewer
- Error when implementing demo HOT 4
- Issue related to paper published and implementation HOT 4
- Call for help. It dosent work when I run demo.py with iphone datasets. HOT 3
- What is the purpose of scaling the input image to -0.5 to 1.5
- Missing Code: pops.induced_flow HOT 1
- What's the best way to fine-tune DPVO?
- How to understand the softagg for frame aggregation? HOT 4
- ERROR ❌ installing DPViewer HOT 1
- BUFFER_SIZE not large enough HOT 2
- RuntimeError: CUDA illegal memory access HOT 1
- Illegal memory access while using custom images HOT 8
- Real-time pose estimation HOT 8
- Image gradient bias
- TensorRT export HOT 2
- LieTorch Error: Cannot reshape tensor of 0 elements into shape ... When running TartanAir Evaluation HOT 1
- Question: is it applicable to do camera movement classification?
- Question about the channels of patch tensors
- ERROR: Failed building wheel for dpvo HOT 2
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