Comments (2)
saishruthibalaji
commented on August 16, 2024
1
Thank you! This was very helpful.
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nv-nguyen
commented on August 16, 2024
This issue has been fixed in the most recent commit with this line. Here is what I get for the visualization of templates:
Please note that you can also scale the mesh directly with our code by changing this value radius (distance to the camera) to bigger values, no need to use Blender.
I don't have your RGB image so I made a screenshot of the gray image above and run CNOS. Here is its result with the default hyper-parameters and num_max_dets=20. I think the results can be improved by changing the hyper-parameters and use your input RGB instead of gray image:
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Related Issues (20)
- Problems with detecting multi-color objects (?) HOT 1
- How to use this project? What are parameters of train ? HOT 2
- precomputed results on YCBV HOT 2
- Pixel to point correspondances with renderer HOT 1
- Installation of ultralytics HOT 1
- Segmentation evaluation using bop_toolkit HOT 2
- CAD-object free results HOT 3
- Why is the paper's reported result different from that in the BOP leaderboard? HOT 3
- size mismatch for pos_embed HOT 3
- Using FastSAM on custom dataset inference HOT 6
- Poor performance in a object with two colors.
- Multi object segmentation support HOT 2
- Help Needed: Improving Prediction Accuracy on Custom Dataset HOT 1
- Why are the results in the paper different from those in the baseline of the BOP? HOT 1
- pre-computed segmentation is not complete on the YCBV dataset HOT 2
- Running custom inference on multiple GPUs HOT 2
- Rendering templates HOT 1
- DINOv2 for image feature extraction HOT 2
- Limited performance on Custom Datasets HOT 8
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