GitLab

CIFAR-10 Estimator-based example for multi-device training

Fix compatibility for object_detection/core/batcher.py

Fix CDNA transformation bug and speed up its implementation.

_strict_random_crop_image: fix mask slice

Minor typo obj detection's preparing_inputs.md

Make object detection's installation instruction more obvious

Also use the url link to github because *.md files are not
rendered when using jupyter notebook

- Fix CDNA transformation bug where transformed channels of color and masks were combined incorrectly.
- Remove for loop over batch size in implementation of CDNA transformation. This speeds up the building of the graph.

improved ArcStandardTransitionSystem.PerformRightArc()

Fixing evaluation config

Fix to [issue 1724](https://github.com/tensorflow/models/issues/1724)

Change key of type 'tuple' to 'str'

Fixed dictionary key for SavedModel

1 should not shuffle during evaluation; 2 num_readers should be one, or each sample would be evaluate for (num_reader) times and only (num_examples / num_reader) distinct samples are evaluted.

updates object_detection/eval.py to be python3 compatible

Fix typos/style in object_detection's markdown docs

Comment wrong in adversarial_crypto model

random_pixel_value_scale has no boxes involved

Add capability to export as SavedModel in exporter script.

snake_case Decode function