GitLab

1. label offset is not propagated for image-level labels
2. adds an option to treat no image-level labels as a sign that no labels were
verified for a given image
3. updates image ids in object detection evaluation on merging multiple states.

PiperOrigin-RevId: 439537865

Improved error message by indicating detected tf version, for easier debugging. Eg, now reads "ValueError: hourglass_20 is not supported for tf version 1. See `model_builder.py` for features extractors compatible with different versions of Tensorflow".

Before, the message was confusing because it might've indicated hourglass_20 was not supported (but it is... just not for tf version 1).

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Improves example in documentation comment explaining keypoint_flip_permutation for RandomHorizontalFlip and RandomVerticalFlip.

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Explicitly import estimator from tensorflow as a separate import instead of accessing it via tf.estimator and depend on the tensorflow estimator target.

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Unfreeze keras version as incorrect version issue was fixed. This also resolved the endless TF ODT API pip install issue.

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Instead of searching the annotation files based on class names in the filenames, read all the XML annotation files. For the cats/dogs use-case, just delete all the XML files that are not the breeds we care about.

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such that NMS won't wash out the rescored instance scores.

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Also upgrades keras version due to
https://github.com/tensorflow/tensorflow/issues/51592

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the image/object/keypoint/text feature but not in the keypoint label map.

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- Added configurable arguments in CenterNet for maximum normalized coordinate (this might be useful for handling cases where the bounding box can only be presented out-of-bound with the direction-of-path point at the center in panorama rotation).

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datasets which contain different subset of keypoints.

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that maps from the keypoint names to their ids.

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