Comments (2)
Guptajakala
commented on August 16, 2024
another example. This looks much worse than what's shown in readme. What's the confidence thres set when getting the sam_pbr_ycbv.json?
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nv-nguyen
commented on August 16, 2024
We use threshold=0.5 for all the visualization as mentioned in the paper. Although some objects are under-segmented, it works well overall for all images of all BOP datasets as reported in the last BOP challenge.
Feel free to re-open the issue if there is any problem with the code!
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Related Issues (20)
- Any standard for scaling CAD models? HOT 2
- Problems with detecting multi-color objects (?) HOT 1
- How to use this project? What are parameters of train ? 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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