Comments (4)
Hello brother! When I inferring the IDOL , I didn't get the evaluation. How did you get the evaluation value such as AP, can you share it? thank you very much!
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hey how did you train 2021 dataset as we cannot find annotations file for 2021 dataset in official link. Can you provide those annotation json files
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Hello brother! When I inferring the IDOL , I didn't get the evaluation. How did you get the evaluation value such as AP, can you share it? thank you very much!
Hello, classmates, has your problem been solved ? I also encountered the same problem, want to ask the following you
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Hello! I trained IDOL using default swinL config yaml file, which only changes dataset from 19 to 21 and evaluate on Youtube-VIS 2022 validation set. I got nearly the same mAP_S but different mAP_L around 44, which is much lower than your mAP_L result 48.4 in your 1st solution working paper. Is there any problem? Thank you very much.
Hello, I almost reproduce the result while having some questions about multi-scale testing.
Have you tried training again subsequently?
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Related Issues (20)
- Evaluation Error in IDOL HOT 4
- Where is the training result of IDOL? HOT 1
- model release of coco static image pretraining
- broken link
- is the demo ready? HOT 1
- overlap of classes HOT 2
- IndexError: The shape of the mask [50] at index 0 does not match the shape of the indexed tensor [1] at index 0 HOT 1
- train IDOL question HOT 1
- about inference speed HOT 1
- Missing checkpoint (broken link): YouTube-VIS 2019/SwinL Backbone
- two questions about IDOL
- How to verify HOT 1
- Step 1 training yaml
- ModuleNotFoundError: No module named 'pycocotools.ytvos' HOT 2
- Inference through webcam or rtsp HOT 1
- May I ask why the memory network module can effectively segment rapidly moving objects?
- Is there a workaround for panoptic segmentation and tracking in idol?
- when will you release InstMove? HOT 2
- Difference between ECCV paper and YouTube-VIS challenge HOT 1
- Inference on own dataset frames? HOT 2
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