Add PseudoLabeling transform for unlabeled dataset#1594
Add PseudoLabeling transform for unlabeled dataset#1594sooahleex merged 4 commits intoopen-edge-platform:developfrom
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## develop #1594 +/- ##
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+ Coverage 81.06% 81.07% +0.01%
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- Misses 4701 4711 +10
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| pseudo = np.array(self._labels)[ind][0] | ||
| pseudo_annotation = [Label(label=self._label_indices[pseudo])] | ||
| return self.wrap_item(item, annotations=pseudo_annotation) |
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It seems that the original annotations are replaced with the pseudo annotation. Is it intended? Then how about add this notice to the document?
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In this case, I assumed the case that each item does not have any annotation. so the original annotations is not existed. If my assumption is not proper, please let me know.
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Oh, I see. Then, we can enhance this feature when the assumption is changed.
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Summary
PseudoLabelingtransform for unlabeled datasetExplorerof Datumaro to make pseudo label for each datasetitemHow to test
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Feel free to contact the maintainers if that's a concern.