GitLab

* Replace google3.pyglib modules with tf and absl

This now matches train.py and provides more publicly available libraries.

* Add example pipeline config for SSD Interleaved V2 Model.

Compiled from model_builder_test.py and lstm_ssd_mobilenet_v1_imagenet.config,
Removed data augmentation and tranfer learning (i.e. training from checkpoint) due to errors I was seeing when trying to run with it.

* Remove unused tfrecord creation.

This was also incorrectly specified, as the keys differed from the TFSequenceExample parser.

* correct key specified in docstring

* add tflite frozen graph exporter (cli and lib).

* add tflite model exporter

* add script to test the tflite model

* add mode export documentation

* correct docstring

* rename export files to be unique across detection research work

* correct number of channels for grayscale

* add and correct copyright

PiperOrigin-RevId: 223839440

* Add a second expected_loss_weights function using an alternative expectation calculation compared to previous. Integrate this op into ssd_meta_arch and losses builder. Affects files that use losses_builder.build to handle the returning of an additional element.

PiperOrigin-RevId: 219190083

* Fix dependency issues.

PiperOrigin-RevId: 222888231

* Update CODEOWNERS 

Add @masonliuw and @yinxiaoli to /research/lstm_object_detection/

Add a second expected_loss_weights function using an alternative expectation calculation compared to previous. Integrate this op into ssd_meta_arch and losses builder. Affects files that use losses_builder.build to handle the returning of an additional element.

PiperOrigin-RevId: 219190083