GitLab

* Fixes Neutral Style Transfer example

Fixes tensorflow/models#9451 by creating image from example that can be downloaded.

* Fixes Neutral Style Transfer Adam reference

In TF2 this function moved from tf.optimizers.Adam(). Only TF2 is supported on Google colab

https://www.tensorflow.org/api_docs/python/tf/compat/v1/train/AdamOptimizer

* Update 4_Neural_Style_Transfer_with_Eager_Execution.ipynb

Updates tf.keras.preprocessing.image() function reference to TF2 equivalent to restore functionality on Google colab.

https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/image

* Fixes Neutral Style Transfer example

Eager Execution is now enabled by default in TF2

https://www.tensorflow.org/api_docs/python/tf/executing_eagerly

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Co-authored-by: Arun Kandoor <akandoor@google.com>

Co-authored-by: Arun Kandoor <akandoor@google.com>

Co-authored-by: Arun Kandoor <akandoor@google.com>

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scenario. See b/218767303#comment12 for more detailed explanation.

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Updated broken link with correct reference for `Mask RCNN code`

It creates unnecessary complexity for backend compilers to deal with.

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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.

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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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