GitLab

PiperOrigin-RevId: 381869167

PiperOrigin-RevId: 381540013

PiperOrigin-RevId: 381516130

PiperOrigin-RevId: 381396116

PiperOrigin-RevId: 381368435

PiperOrigin-RevId: 381367878

PiperOrigin-RevId: 381366438

Adds a feature to process a dictionary for `input_paths` in `DataConfig`, to allow combining multiple datasets using a user defined combine_fn.

PiperOrigin-RevId: 381363688

This allows the exported TF Lite MoveNet model to be able to run on device GPU
using OpenCL/OpenGL.

PiperOrigin-RevId: 381343791

Add model export config to RetinaNet, which optionally cast model outputs to floats, and normalize output box coordinates.

PiperOrigin-RevId: 381334851

over new parameters in the CenterNet model.

PiperOrigin-RevId: 381331623

PiperOrigin-RevId: 381307288

PiperOrigin-RevId: 381302776

PiperOrigin-RevId: 381301573

PiperOrigin-RevId: 381152422

PiperOrigin-RevId: 381089283

In nlp/train.py and vision/beta/train.py, certain flags are marked as required. Additionally, in certain functions, error messages are improved if a necessary flag is not specified, which is a fallback in case a file calling define_flags() does not mark the necessary flags are required. Previously if any of these flags were not specified, it would crash with a cryptic error message, making it hard to tell what went wrong.

In a subsequent change, I will mark flags as required in more files which call define_flags().

PiperOrigin-RevId: 381066985

Before, it returned None. But almost every use of get_distribution_strategy() assumes an actual strategy is returned and crashes when None is returned. Returning the default strategy fixes these issues and is equivalent to using no strategy, as the default strategy is always in effect when no other strategy is used.

PiperOrigin-RevId: 380951055

Adds a video classification export module for example. The module is subject to change in the near future.

PiperOrigin-RevId: 380907598

PiperOrigin-RevId: 380858205

Some parts of the forward pass would previously overflow in float16. Such parts are now done in float32.

PiperOrigin-RevId: 380857663

PiperOrigin-RevId: 380687139

PiperOrigin-RevId: 380650647

PiperOrigin-RevId: 380470496

PiperOrigin-RevId: 380296477

PiperOrigin-RevId: 380243629

PiperOrigin-RevId: 380237223

PiperOrigin-RevId: 380190962

PiperOrigin-RevId: 379909569

PiperOrigin-RevId: 379898918

PiperOrigin-RevId: 379875442

--
b3be14bc by Srihari Humbarwadi <sriharihumbarwadi97@gmail.com>:

Added `PanopticMaskRCNNModel` model (#10045)

* Added `PanopticMaskRCNNModel` model

* test checkpoint loading for segmentation objects

* fixed docstring

* subclassed `MaskRCNNModel`

* always enable mask and segmentation heads

* added __init__.py

* added README.md
--
35c3a79f by Srihari Humbarwadi <sriharihumbarwadi97@gmail.com>:

fixed linting errors (#10053)

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/models/pull/10052 from tensorflow:panoptic-segmentation 35c3a79f
PiperOrigin-RevId: 379834961

PiperOrigin-RevId: 379828181

PiperOrigin-RevId: 379817535

PiperOrigin-RevId: 379815593

1) Added the score-to-scaled-distance ranking method.
2) Added the gaussian-weighted ranking method.
3) Added the hyperparameter used in the rescoring function.

PiperOrigin-RevId: 379646603

PiperOrigin-RevId: 379618127

--
63719f08

 by Anirudh Vegesana <anirudh.vegesana@gmail.com>:

YOLO Family: Updated model (#9923)

* Update YOLO model

* Fix some docstrings

* Fix docstrings

* Address some of Dr. Davis' changes

* Give descriptive names to the test cases

* Fix bugs

* Fix YOLO head imports

* docstring and variable name updates

* docstring and variable name updates

* docstring and variable name updates
Co-authored-by: vishnubanna <banna3vishnu@gmail.com>
Co-authored-by: Vishnu Banna <43182884+vishnubanna@users.noreply.github.com>
--
725b8c8c

 by Anirudh Vegesana <anirudh.vegesana@gmail.com>:

disclaimer (#10020)
Co-authored-by: Vishnu Banna <43182884+vishnubanna@users.noreply.github.com>
--
404d24b0

 by Anirudh Vegesana <anirudh.vegesana@gmail.com>:

YOLO Family: Linting (#10027)

* YOLO Family: Updated model (#9923)

* Update YOLO model

* Fix some docstrings

* Fix docstrings

* Address some of Dr. Davis' changes

* Give descriptive names to the test cases

* Fix bugs

* Fix YOLO head imports

* docstring and variable name updates

* docstring and variable name updates

* docstring and variable name updates
Co-authored-by: vishnubanna <banna3vishnu@gmail.com>
Co-authored-by: Vishnu Banna <43182884+vishnubanna@users.noreply.github.com>

* disclaimer

* Fix some PyLint errors
Co-authored-by: vishnubanna <banna3vishnu@gmail.com>
Co-authored-by: Vishnu Banna <43182884+vishnubanna@users.noreply.github.com>
COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/models/pull/10021 from tensorflow:purdue-yolo 404d24b0
PiperOrigin-RevId: 379372162