Comments (2)
DaDaPi3
commented on May 22, 2024
Seems the validation accuracy in the score.json file is the accuracy evaluated on the no_boundary ground truth, while the validation accuracy in the log.txt file is the accuracy evaluated on the full reference.
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lewfish
commented on May 22, 2024
This is true. Ideally the numbers would be the same, but I don't think this should cause any problems as long as you are aware that the numbers are computed differently. If you want to submit a PR for this, feel free.
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Related Issues (20)
- Support reading temporal data (i.e. time-series of multiple images of the same scene)
- Can't use a geojson as AOI in a SemanticSegmentationRandomWindowGeoDataset HOT 3
- ARM64 build currently broken HOT 1
- Unable to install RasterVision HOT 3
- Issues with using model bundle for prediction HOT 15
- Cannot import ClassConfig on Kaggle HOT 16
- Cannot save prediction using colors from ClassConfig HOT 4
- Improve unit test coverage of CLI and `Runner`s
- Cannot plot batch with ObjectDetectionVisualizer HOT 4
- Multi-temporal raster source visualizer fails when batch size is 1 HOT 2
- Make it possible to exclude "null" class labels from the computation of metrics HOT 3
- RuntimeError: expected scalar type Long but found Int HOT 10
- Allow user to specify AOI box filtering behavior in sliding window datasets HOT 1
- self._hds cannot be converted to a Python object for pickling HOT 2
- Semantic Segmentation Labels not initializing properly from predictions when extent provided HOT 2
- use my trained modle to prediction ,has wrong happened HOT 2
- RuntimeError: The size of tensor a (82) must match the size of tensor b (64) at non-singleton dimension 3 HOT 4
- Migrate to `pydantic` v2
- MPL notice for use of everett library and LGPL for triangle
- v0.30 release checklist
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