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1. Commits on Apr 26, 2018

   • Removing @@ comments from core TensorFlow. They are no longer needed for exporting symbols to the TensorFlow API.

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     annarev

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2. Commits on Apr 25, 2018

   • Removing remove_undocumented calls from tensorflow/python.

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     annarev

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3. Commits on Mar 8, 2018

   • Add SSIM and PSNR functions to tf.image.

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4. Commits on Feb 13, 2018

   • 1. Add image_ops.is_jpeg Op to decide if a input string is a jpeg string or not.

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5. Commits on Feb 7, 2018

   • Merge changes from github.

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     Michael Case

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6. Commits on Sep 13, 2017

   • Add crop_and_decode_jpeg_op that combines the crop and decode for better

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     mingxingtan

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7. Commits on Aug 29, 2017

   • Add extract_jpeg_shape such that we can get the image shape without actually

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     mingxingtan

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8. Commits on Jul 18, 2017

   • Make non_max_suppression_v2 private because it still needs API review.

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     Jonathan Hseu

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9. Commits on Jun 9, 2017

   • Merge changes from github.

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     Jonathan Hseu

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10. Commits on May 19, 2017

    • Merge changes from github.

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11. Commits on Feb 24, 2017

    • Update module docstrings to (consistently) link to the guide in the

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12. Commits on Feb 13, 2017

    • Documentation changes to adhere to new doc generator

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      aselle

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13. Commits on Jan 13, 2017

    • Merge changes from github.

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      Patrick Nguyen

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14. Commits on Dec 9, 2016

    • Merge changes from github.

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15. Commits on Nov 14, 2016

    • Remove tf.image.per_image_whitening() (which has been replaced with

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16. Commits on Nov 12, 2016

    • Seal image_ops.py's interface.

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      Patrick Nguyen

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17. Commits on Nov 3, 2016

    • Add a fused adjust_hue that is 6-7 times faster on CPU. The GPU kernel will be

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18. Commits on Oct 24, 2016

    • Add tf.per_image_whitening() back to module until callers are switched to

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    • Rename tf.image.per_image_whitening() to tf.image.per_image_standardization(). This adds a temporary per_image_whitening() wrapper to keep callers working. Subsequent changes will change call sites…

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19. Commits on Oct 20, 2016

    • Merge changes from github.

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      Patrick Nguyen

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20. Commits on Sep 29, 2016

    • Fix broken lists in documentation, and back-quote more identifiers.

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      Patrick Nguyen

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21. Commits on Sep 15, 2016

    • Internal change.

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22. Commits on Sep 13, 2016

    • Change tf.image.resize_images function to take a 1-D Tensor 'size' argument instead of 'new_height' and 'new_width'.

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23. Commits on Sep 9, 2016

    • Enable `tf.image.rot90(image, k)` to accept tensor-valued `k`.

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      mrry

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    • Rename NoGradient -> NotDifferentiable, to make it clear

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      Vijay Vasudevan

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    • Switch remaining ops in image_ops.py to use C++ shape functions.

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24. Commits on Sep 7, 2016

    • Speed up tf.Assert, move it to control_flow_ops.

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      ebrevdo

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25. Commits on Aug 30, 2016

    • Delegate to C++ shape inference functions for several ops in

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26. Commits on Aug 19, 2016

    • Removes dependency from `image_ops` to `tf.contrib`.

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      mrry

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27. Commits on Aug 9, 2016

    • Deprecate op_scope by extending name_scope and move all callers to the new name_scope.

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      Lukasz Kaiser

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28. Commits on Jul 29, 2016

    • Use a division directly instead of multiplying by the inverse. Also use the rsqrt operation instead of taking the inverse of the square root.

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      benoitsteiner

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29. Commits on Jul 25, 2016

    • Merge changes from github.

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30. Commits on Jul 16, 2016

    • Adds a non_max_suppression op. This operation performs non max suppression of

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31. Commits on Jul 13, 2016

    • s/Tensorflow/TensorFlow. A losing battle :)

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      Vijay Vasudevan

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32. Commits on Jul 11, 2016

    • Add a rot90 op to tf.image to rotate images by (multiples of) 90 degrees.

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