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The current code does not work in py2 since the input string could
contain unicode string, and default encoding in ASCII in py2. Change
the method to only do encode() which convert string to byte array
when running python3.

* Adding cast to fp32

* Adding myself to OWNERS

duplicate eval metric: change the fourth metric from ## Weighted PASCAL VOC detection metric to ##  Weighted PASCAL VOC instance segmentation metric .

Squashed commit of the following:

commit 5a6887b50ce35df0c62fe6a1d4dddf89296b58af
Author: Ilya Mironov <mironov@google.com>
Date:   Tue Apr 3 13:21:32 2018 -0700

    Renaming pate2_paper to ICLR2018. Adding mironov@google.com to README.md.

commit 666ac8800a68a965508dec4c148134723f5d2725
Author: Ilya Mironov <mironov@google.com>
Date:   Tue Apr 3 13:16:54 2018 -0700

    Moving everything under research/differential_privacy/pate

commit 1810be3e31279391b5f339c29c4e25d631409736
Author: Ilya Mironov <mironov@google.com>
Date:   Mon Apr 2 15:18:49 2018 -0700

    Addressing Ananth's comments:
     - added link to https://github.com/abseil/abseil-py
     - added "pip install absl-py"
     - fixed import statement in core_test.py

    Added requirement of write access.

commit e2f7e01462815bdd957952769edfea8f94407ce6
Author: Ilya Mironov <mironov@google.com>
Date:   Mon Apr 2 12:32:27 2018 -0700

    Overview section of README.md is revised.

commit 692680868cb1a69...

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- Fix externally broken test input_test.py
- Add Cython to object detection REQUIRED_PACKAGES

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Updating model to infer when labels are padded, rather than relying solely on the mode. This is necessary for evaluating on train data.

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Use keyword arguments in model builder for ssd feature extractor. This was incorreclty setting reuse argument.

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Removing flag defaults for train steps and eval steps. If not provided, will revert to the values specified in the config.

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Add warning if shuffle=false but num_readers > 1. The latter would cause the input data stream to still be shuffled.

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Cython is must installed package for building cocoapi. else the build will not
initiate.

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Tfmini requires positive values for the dimensions. Therefore, we need to test for no paddings in both width and height direction.

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