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Calling for volunteers for adding new metrics! #50
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Metric No.1 CityScapesMetric |
Metric No.5 DOTAMetric |
Metric No.24 FlowOutliers |
Metric No.3 LVISMetric |
Metric No.2 CocoPanopticMetric |
Metric No.33 MattingMSE |
Metric No.4 CrowdHumanMetric |
Metric No.8 InstanceSegMetric |
Metric No.32 SAD |
Metric No.33 MattingMSE |
Metric No.5 DOTAMetric |
Metric No.28 : YouTubeVISMetric |
Metric No.35 GradientError |
Metric No.35 GradientError |
Metric No.34 ConnectivityError |
Metric No.34 ConnectivityError |
Metric No.6 RotatedCocoMetric |
Dear community,
We are excited to introduce our new evaluation library: MMEval, a unified evaluation library for multiple machine learning libraries.
With the release of MMEval, we have some metrics from the OpenMMLab algorithm library that have not yet been added. We list the metrics below and call for community help.
If you are interested, you can claim a metric by replying to this issue in the following format:
NOTES:
Examples:
We provide some examples showing how to add Metric from the OpenMMLab algorithm library to MMEval
Submitted Content:
No1. CityScapesMetric
No2. CocoPanopticMetric
No3. LVISMetric
No4. CrowdHumanMetric
No5. DOTAMetric
No6. RotatedCocoMetric
No7. IndoorMetric
No8. InstanceSegMetric
No9. KittiMetric
No10. LyftMetric
No11. NuScenesMetric
No12. WaymoMetric
No13. OneMinusNEDMetric
No14. WordMetric
No15. CharMetric
No16. CocoWholeBodyMetric
No17. NME
No18. AUC
No19. EPE
No20. PoseTrack18Metric
No21. ANetMetric
No22. AccMetric
No23. FlowOutliers
No24. MOTChallengeMetrics
No25. ReIDMetrics
No26. SOTMetric
No27. TAOMetric
No28. YouTubeVISMetric
No29. MultiScaleStructureSimilarity
No30. FrechetInceptionDistance & TransFID
No31. InceptionScore & TransIS
No32. SAD
No33. MattingMSE
No34. ConnectivityError
No35. GradientError
No36. PerceptualPathLength
No37. PrecisionAndRecall
No38. SlicedWassersteinDistance
No39. NIQE
No40. Equivariance
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