GitLab

320711412  by rathodv:

    Internal change

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320707201  by lzc:

    Internal change

320690704  by TF Object Detection Team:

    Purely Google refactor

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320665573  by TF Object Detection Team:

    Fallback to deprecated `experimental_run_v2` method if `run` does not exist.

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PiperOrigin-RevId: 320711412
Co-authored-by: TF Object Detection Team <no-reply@google.com>

320640208  by vighneshb:

    Make model zoo links prominent.

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PiperOrigin-RevId: 320640208
Co-authored-by: TF Object Detection Team <no-reply@google.com>

320622111  by rathodv:

    Internal Change.

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PiperOrigin-RevId: 320622111
Co-authored-by: TF Object Detection Team <no-reply@google.com>

320618558  by rathodv:

    Internal Change.

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320597532  by ronnyvotel:

    Exposing DensePose visualizations to model_lib_v2.py.

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320533669  by ronnyvotel:

    Adding utilities to visualize DensePose outputs.

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320529647  by lzc:

    Fix saved_model issue in object_detection_tutorial notebook.

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320510127  by aom:

    Internal change.

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320490236  by derekjchow:

    Update Dockerfiles to use setup.py

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320443572  by rathodv:

    Update `Tensorflow` to `TensorFlow` in documentation.

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320426460  by ronnyvotel:

    DensePose proto and model builder.

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320352611  by rathodv:

    Update documentation to reflect the support for TF1 and TF2. Provide separate sets of instructions to reduce confusion.

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320350724  by rathodv:

    Internal Change.

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PiperOrigin-RevId: 320618558
Co-authored-by: kmindspark <kaushikshiv@google.com>

* add ducks

* add file

* add file

* add images

* cleaning up to test

* add colab

* latest

* add colab

* clean up pr

* change paths

* fix colab

* rename colab

* remove config

* fix more things in colab

* clear outputs from colab

* remove todos

* for testing purposes

* for testing purposes

* PR for interactive ducks

* add colab utils file

* add colab utils file

* add colab utils file

* add colab utils file

* add colab utils file

* add colab utils file

* add colab utils

* add separate utils file

* edit description

* final

* fix git repo url and remove installation test

* temp config

* add model checkpoint download

* remove config

320335495  by rathodv:

    Remove hparams support form TF1 main binaries as its not available in TF1.15 runtime on cloud ai platform.

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320278161  by ronnyvotel:

    Exposing DensePose fields to model libraries.

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320277319  by rathodv:

    Remove TPU Name check since TPU is automatically inferred under cloud AI platform.

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320258215  by rathodv:

    Internal Change.

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320245458  by yuhuic:

    Updated the CenterNet restore_from_objects function to be compatible with
    existing configs that load converted checkpoints.

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320225405  by jonathanhuang:

    Small change to Keras box predictor and box heads to fix export errors for SSD and Faster R-CNN.

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320145077  by aom:

    Implements EfficientDet feature extractor.

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PiperOrigin-RevId: 320335495
Co-authored-by: TF Object Detection Team <no-reply@google.com>

320117767  by ronnyvotel:

    DensePose postprocessing implementation.

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320065853  by ronnyvotel:

    Updating how masks are reframed, so that it works on float and uint8 masks.

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320061717  by yuhuic:

    Updated CenterNet restore_from_objects to allow the model to load the
    checkpoints saved during training.

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319835172  by ronnyvotel:

    Updating how the DensePose UV Symmetries MAT file path is constructed and loaded.

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319834678  by ronnyvotel:

    First update to CenterNetMetaArch for DensePose. Adding prediction and loss functionality.

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319810261  by rathodv:

    Create a setup.py file to simplify installation.

    Usage:
    "python object_detection/packages/tf1/setup.py install" for TF1.
    "python object_detection/packages/tf2/setup.py install" for TF2.

    or to create source distribution
    "python object_detection/packages/tf1/setup.py sdist" for TF1.
    "python object_detection/packages/tf2/setup.py sdist" for TF2.

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319803041  by sbeery:

    Updating documentation for export

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319688087  by rathodv:

    Update as_matrix() to to_numpy() to avoid failures with python3.6

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319686183  by vighneshb:

    Require tpu_name when use_tpu is set.

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319613327  by aom:

    EfficientDet-style Data Augmentation.

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319572180  by rathodv:

    Add TF2 SSD FPN (a.k.a RetinaNet) configs.

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319553823  by rathodv:

    Internal Change.

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PiperOrigin-RevId: 320117767
Co-authored-by: TF Object Detection Team <no-reply@google.com>

319539052  by rathodv:

    Internal Change.

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319537186  by rathodv:

    Internal Change

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319320800  by jonathanhuang:

    Internal changes.

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319260368  by ronnyvotel:

    Adding a target assigner for DensePose.

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319240476  by sbeery:

    switching to main() for argparse

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PiperOrigin-RevId: 319539052
Co-authored-by: TF Object Detection Team <no-reply@google.com>

319125512  by aom:

    Internal change

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319108395  by rathodv:

    Internal Change

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319106259  by ronnyvotel:

    Updating input pipeline to return DensePose labels.

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PiperOrigin-RevId: 319125512
Co-authored-by: Zhichao Lu <lzc@google.com>

* Initial commit for faster rcnn resnet v1 fpn feature extractor.

1. Setup code structure for fpn feature extractor

* draft for faster rcnn resnet vi fpn feature extractor

* draft for faster rcnn resnet v1 fpn feature extractor

* add seperated class for resnet 50 101 152

* draft for get_box_classifier_feature_extractor_model

* remove unused code

* Init test file for faster_rcnn_fpn_keras_feature extractor

* add unit test for get_proposal_feature_extractor_model

* add unit test for get_proposal_feature_extractor_model smaller input size

* add unit test for get_proposal_feature_extractor_model incorrect dimension

* change keras model output format

* Update size on extract_proposal_features tests

* change default fpn_min_level to 2

* fix error in get_box_classifier_feature_extractor_model

* add shape test for get_box_classifier_feature_extractor_model

* fix coding style

* Fix coding style for feature extractor.

* add faster rcnn resnet v1 fpn feature extractor to model builder

* rename fpn feature extractors

* modify doc string for Feature extractor:

drop word "implementation"

* add todo in get_box_classifier_feature_extractor_model

* remove enable_v2_behavior

* drop unittest test_extract_proposal_features_dies_with_incorrect_rank_inputs

* modify feature extractor name

* remove min_depth and depth_multiplier feature

* Add coarse layers for faster rcnn fpn keras model

1. Add coarse layers
2. Update corresponding unit test to check the size of the coarse layer
is correct

* change the default max_fpn_level to 6

* change unittest since default max_fpn_level is change to 6

319052168  by rathodv:

    Change assertAllEqual to assertAllClose for Position Sensitive Crop and Resize to avoid flaky tests.

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319044492  by rathodv:

    Internal change.

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319039033  by ronnyvotel:

    Preprocessor ops for DensePose.

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319035440  by sbeery:

    External beam code with DataFlow Support

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318899436  by ronnyvotel:

    DensePose library for common operations like scaling, coordinate transformations, and flipping.

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318833308  by Vivek Rathod:

      Internal Change

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PiperOrigin-RevId: 319052168