Comments (3)
I found the same error, I suspect is my addtion data got problem. I replace the dummy example like this, but it still occurs
tide.evaluate(datasets.COCO(), datasets.COCO(), mode=TIDE.BOX)
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Usually it is because the detection has no overlap with the groundtruth, therefore we have such error
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closed since I am no longer using this
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Related Issues (20)
- Comparing Across Scale HOT 4
- Custom dataset evaluation HOT 1
- Feature Request: Compress masks as they are added to Data
- Feature Request: Finish statically typing the API HOT 1
- "score" parameter in Data.add_detection is annotated as "int", should probably be "float"
- list input can be bounding box (Nx4) or RLEs ([RLE]) HOT 1
- Crashes with a DivideByZeroError when there are no detections HOT 3
- Even when using the ground truth values as predicted values, there is error. HOT 1
- code of Comparison of Scales HOT 1
- Getting bbox AP @ 50: 0.00 HOT 1
- How to handle images with no ground truth box
- About My dataset HOT 1
- where dataset defines
- Keypoint Evaluation
- Is there any sample code how to evaluate the detections at different scales and classes? Is there a sample how to use the Qualifier class?
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- Can I use TIDE on my own dataset - given coco-formatted Ground-Truth and predicted Bounding Boxes? HOT 2
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- The sum of mAP is not 100 HOT 3
- Test Custom Trained Yolov7 Model
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