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The backbone configuration was previously a OneOfConfig, which prevented extra fields from being saved in Tensorboard. This change nests the backbone configuration within a BackboneConfig class, ensuring that all configuration fields are saved in Tensorboard for complete tracking and analysis. PiperOrigin-RevId: 704758475
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1. Updated oxford_iiit_pets dataset version 3.x.x to 4.0.0, Screenshot 2024-12-19 at 1.38.45 PM 2. Updated tfds.load() to tfds.data_source() to load the updated version of dataset. 3. Changed train_ds.__len__().numpy() to train_ds.__len__() as train_ds object loaded from data_source api doesn't support numpy(). Screenshot 2024-12-19 at 2.08.04 PM
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The experiment column details various DETR training configurations using shell scripts `detr_r50_300epochs.sh` and `detr_r50_500epochs.sh` . The source links are added to these files.
* Fixed broken Google Research links in audioset/README.md --------- Co-authored-by: Manoj Plakal <30733558+plakal@users.noreply.github.com>
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The function `_sample_from_beta(alpha, beta, shape)` in `MixupAndCutmix` class, is not having the same functionality as `numpy.random.beta`. So `tfm.vision.augment.MixupAndCutmix._sample_from_beta(0.2, 0.2, tf.shape( tf.range(10000))).numpy()` is also deviating as well. So suggesting the fix keeping `alpha=alpha, beta=1.0` in `_sample_from_beta`. The reproduced [gist](https://colab.sandbox.google.com/gist/LakshmiKalaKadali/06533824610d6e85ea4aa3c6399819e6/tf_model_13490.ipynb#scrollTo=zSlE-3YDjL91) also attached. This PR closes [#13490](#13490) Thank You
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Automated security fix generated by OrbisAI Security
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