Comments (4)
JayKarhade
commented on July 29, 2024
Is it getting stuck at 139 step or is it slow inference?
The evaluation is slower because we calculate LPIPS and also store images.
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FrontierBreaker
commented on July 29, 2024
The inference is slow. Is the inference speed (7h/sequence) normal?
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Nik-V9
commented on July 29, 2024
Hi, no, this speed is not normal. Generally, the final evaluation is slow since we write the final output for each eval frame to the disk. However, it shouldn't be 7 hr/sequence (typically less than 20 minutes for Replica). This might be an issue with storage or something else on your end?
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FrontierBreaker
commented on July 29, 2024
okay, I will check it. Thank you!
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Related Issues (20)
- How to create a new dataset HOT 1
- Query regarding constant camera intrinsics HOT 8
- Type of Loss Function HOT 2
- GPU memory during training HOT 1
- Query regarding first camera pose HOT 2
- Query regarding Scannet dataset config HOT 2
- Query regarding data loading for custom dataset HOT 2
- Question about the evaluation metrics
- Query regarding Replica Dataset Version & Performance HOT 3
- Question regarding number of frames tracked during SLAM HOT 1
- Inquiry Regarding Runtime Discrepancies in Splatam HOT 4
- Why is the projmatrix in cam the same to first frame? HOT 3
- diff-gaussian-rasterization error HOT 2
- PSNR are not good.
- Video was taken for map reconstruction
- Clarification Needed on Code Questions
- Confusing about Trajectory Evaluation Function evaluate_ate
- CUDA OUT OF MEMORY
- D435i real-time or offline slam?
- Question regarding the shape of the mask created from the `depth`.
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