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Remove dataset.with_empty_annotations() to keep original input structure #1964

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goodsong81
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@goodsong81 goodsong81 commented Apr 3, 2023

Summary

  • Fix an Geti integration error due to changed data type.
    (Dataset -> DatasetEntity)

How to test

  • n/a

Checklist

  • I have added unit tests to cover my changes.​
  • I have added integration tests to cover my changes.​
  • I have added e2e tests for validation.
  • I have added the description of my changes into CHANGELOG in my target branch (e.g., CHANGELOG in develop).​
  • I have updated the documentation in my target branch accordingly (e.g., documentation in develop).
  • I have linked related issues.

License

  • I submit my code changes under the same Apache License that covers the project.
    Feel free to contact the maintainers if that's a concern.
  • I have updated the license header for each file (see an example below).
# Copyright (C) 2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

@goodsong81 goodsong81 requested a review from a team as a code owner April 3, 2023 11:06
@github-actions github-actions bot added the ALGO Any changes in OTX Algo Tasks implementation label Apr 3, 2023
@goodsong81 goodsong81 changed the title Remove dataset.with_empty_annotations() call to keep original input sturcture Remove dataset.with_empty_annotations() to keep original input structure Apr 3, 2023
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Does this error only occurs in classification?

@goodsong81
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Does this error only occurs in classification?

There seems no other calls which alter output structure.
(val dataset creation seems OK)
image

@goodsong81 goodsong81 merged commit a734443 into openvinotoolkit:releases/1.1.2 Apr 3, 2023
@goodsong81 goodsong81 deleted the songkich/fix-empty-anno branch April 3, 2023 12:11
goodsong81 added a commit to goodsong81/training_extensions that referenced this pull request Apr 4, 2023
…cture (openvinotoolkit#1964)

Remove dataset.with_empty_annotations() call to keep original input structure
goodsong81 added a commit that referenced this pull request Apr 5, 2023
* Fix exception -> warning for anomaly dump_feature option

* Remove `dataset.with_empty_annotations()` to keep original input structure (#1964)

* Fix OV batch inference (saliency map generation)  (#1965)

* Release 1.1.2 RC1

* Fix classification model download logic to resolve zip issue (#1967)

* Replace model download logic by pytorchcv to resolve zip issue

* Update change log

* Fix pre-commit

* Configure checkpoint before model

* Add pytorchcv to cls/seg requirement

* Hot fix for numpy attr for ResultMediaEntity

* Release 1.1.2

* Update exportable code demo commit

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Co-authored-by: Evgeny Tsykunov <[email protected]>
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2 participants