GitLab

PiperOrigin-RevId: 321825286

PiperOrigin-RevId: 321810710

PiperOrigin-RevId: 321666729

PiperOrigin-RevId: 321591140

PiperOrigin-RevId: 321184181

PiperOrigin-RevId: 320988288

320711412  by rathodv:

    Internal change

--
320707201  by lzc:

    Internal change

320690704  by TF Object Detection Team:

    Purely Google refactor

--
320665573  by TF Object Detection Team:

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

--

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

320640208  by vighneshb:

    Make model zoo links prominent.

--

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

320622111  by rathodv:

    Internal Change.

--

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

320618558  by rathodv:

    Internal Change.

--
320597532  by ronnyvotel:

    Exposing DensePose visualizations to model_lib_v2.py.

--
320533669  by ronnyvotel:

    Adding utilities to visualize DensePose outputs.

--
320529647  by lzc:

    Fix saved_model issue in object_detection_tutorial notebook.

--
320510127  by aom:

    Internal change.

--
320490236  by derekjchow:

    Update Dockerfiles to use setup.py

--
320443572  by rathodv:

    Update `Tensorflow` to `TensorFlow` in documentation.

--
320426460  by ronnyvotel:

    DensePose proto and model builder.

--
320352611  by rathodv:

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

--
320350724  by rathodv:

    Internal Change.

--

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.

--
320278161  by ronnyvotel:

    Exposing DensePose fields to model libraries.

--
320277319  by rathodv:

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

--
320258215  by rathodv:

    Internal Change.

--
320245458  by yuhuic:

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

--
320225405  by jonathanhuang:

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

--
320145077  by aom:

    Implements EfficientDet feature extractor.

--

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

320117767  by ronnyvotel:

    DensePose postprocessing implementation.

--
320065853  by ronnyvotel:

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

--
320061717  by yuhuic:

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

--
319835172  by ronnyvotel:

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

--
319834678  by ronnyvotel:

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

--
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.

--
319803041  by sbeery:

    Updating documentation for export

--
319688087  by rathodv:

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

--
319686183  by vighneshb:

    Require tpu_name when use_tpu is set.

--
319613327  by aom:

    EfficientDet-style Data Augmentation.

--
319572180  by rathodv:

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

--
319553823  by rathodv:

    Internal Change.

--

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

319539052  by rathodv:

    Internal Change.

--
319537186  by rathodv:

    Internal Change

--
319320800  by jonathanhuang:

    Internal changes.

--
319260368  by ronnyvotel:

    Adding a target assigner for DensePose.

--
319240476  by sbeery:

    switching to main() for argparse

--

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

319125512  by aom:

    Internal change

--
319108395  by rathodv:

    Internal Change

--
319106259  by ronnyvotel:

    Updating input pipeline to return DensePose labels.

--

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.

--
319044492  by rathodv:

    Internal change.

--
319039033  by ronnyvotel:

    Preprocessor ops for DensePose.

--
319035440  by sbeery:

    External beam code with DataFlow Support

--
318899436  by ronnyvotel:

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

--
318833308  by Vivek Rathod:

      Internal Change

--

PiperOrigin-RevId: 319052168

318569851  by jonathanhuang:

    Fix for fine-tuning from classification checkpoints in the v2 binary.

--

PiperOrigin-RevId: 318569851

318545448  by jonathanhuang:

    Modifies visualization code in TF2 evaluation loop so that we don't write out image summaries to disk for every single image.  This change will reduce summary file sizes by ~2 orders of magnitude on average and speed up evaluation cycles (20 minutes per COCO eval cycle vs 2 hours for RetinaNet).

--
318514741  by sbeery:

    Adding link to the blog post

--

PiperOrigin-RevId: 318545448

318497061  by rathodv:

    1. Replace strategy.run() with strategy.experimental_run_v2() and replace tensor.ref() with tensor.experimental_ref() to be compatible with TF2.1 runtime on cloud.
    2. Fix expected string in failing PY3 tests.

--
318493408  by aom:

    Implements "Bidirectional Feature Pyramid Network Generators" for BiFPN-based feature extractors (e.g. EfficientDet).

--

PiperOrigin-RevId: 318497061

318417714  by jonathanhuang:

    Internal change.

--
318367213  by sbeery:

    Pointing users to more documentation for beam

--
318358685  by sbeery:

    Context R-CNN sample config for GPU

--
318309800  by rathodv:

    Internal

--
318303364  by ronnyvotel:

    Adding the option for parsing and including DensePose annotations. http://densepose.org/

--
318291319  by aom:

    Adds conv_bn_act conv_block option, and naming convention changes for BiFPN utils.

--
318200598  by ronnyvotel:

    Updating the TF Example Decoder to parse DensePose annotations.

--
318174065  by jonathanhuang:

    Internal change.

--
318167805  by rathodv:

    Add use_tpu flag to TF2 binary.

--
318145285  by aom:

    Adds option for convolutional keras box predictor to force use_bias.

--

PiperOrigin-RevId: 318417714

318106429  by derekjchow:

    Add Dockerfiles for TF-OD API.

    1.15 and 2.2 supported currently.

--
318083650  by rathodv:

    Internal Change.

--
317893148  by Zhichao Lu:

    Fix mapping from proto fields to parameters of the data augmentation functions for horizontal flip, vertical flip and 90 degree rotations.

--
317753117  by Zhichao Lu:

    Adds keras hyperparam option to force use_bias to True, even when using batch norm.

--
317613986  by Zhichao Lu:

    Improves Keypoints support for data augmentation by means of 90 degree rotation adding an option to permute keypoints.

    Unify the interfaces among flip and rotation ops for data augmentation by exposing additional properties to the user.

--
317136881  by Zhichao Lu:

    Clarifying documentation

--
317097141  by Zhichao Lu:

    Adding Context R-CNN Release to TFODAPI ReadMe

--
316999744  by Zhichao Lu:

    Add import tensorflow.compat...

Context R-CNN: Long Term Temporal Context for Per Camera Object Detection

http://openaccess.thecvf.com/content_CVPR_2020/html/Beery_Context_R-CNN_Long_Term_Temporal_Context_for_Per-Camera_Object_Detection_CVPR_2020_paper.html

Internal changes

--

PiperOrigin-RevId: 316837667

* Merged commit includes the following changes:
311933687  by Sergio Guadarrama:

    Removes spurios use of tf.compat.v2, which results in spurious tf.compat.v1.compat.v2. Adds basic test to nasnet_utils.
    Replaces all remaining import tensorflow as tf with import tensorflow.compat.v1 as tf

--
311766063  by Sergio Guadarrama:

    Removes explicit tf.compat.v1 in all call sites (we already import tf.compat.v1, so this code was  doing tf.compat.v1.compat.v1). The existing code worked in latest version of tensorflow, 2.2, (and 1.15) but not in 1.14 or in 2.0.0a, this CL fixes it.

--
311624958  by Sergio Guadarrama:

    Updates README that doesn't render properly in github documentation

--
310980959  by Sergio Guadarrama:

    Moves research_models/slim off tf.contrib.slim/layers/framework to tf_slim

--
310263156  by Sergio Guadarrama:

    Adds model breakdown for MobilenetV3

--
308640516  by Sergio Guadarrama:

    Internal change

308244396  by Sergio Guadarrama:

    GroupNormalization support for MobilenetV3.

--
307475800  by Sergio Guadarrama:

    Internal change

--
302077708  by Sergio Guadarrama:

    Remove `disable_tf2` behavior from slim py_library targets

--
301208453  by Sergio Guadarrama:

    Automated refactoring to make code Python 3 compatible.

--
300816672  by Sergio Guadarrama:

    Internal change

299433840  by Sergio Guadarrama:

    Internal change

299221609  by Sergio Guadarrama:

    Explicitly disable Tensorflow v2 behaviors for all TF1.x binaries and tests

--
299179617  by Sergio Guadarrama:

    Internal change

299040784  by Sergio Guadarrama:

    Internal change

299036699  by Sergio Guadarrama:

    Internal change

298736510  by Sergio Guadarrama:

    Internal change

298732599  by Sergio Guadarrama:

    Internal change

298729507  by Sergio Guadarrama:

    Internal change

298253328  by Sergio Guadarrama:

    Internal change

297788346  by Sergio Guadarrama:

    Internal change

297785278  by Sergio Guadarrama:

    Internal change

297783127  by Sergio Guadarrama:

    Internal change

297725870  by Sergio Guadarrama:

    Internal change

297721811  by Sergio Guadarrama:

    Internal change

297711347  by Sergio Guadarrama:

    Internal change

297708059  by Sergio Guadarrama:

    Internal change

297701831  by Sergio Guadarrama:

    Internal change

297700038  by Sergio Guadarrama:

    Internal change

297670468  by Sergio Guadarrama:

    Internal change.

--
297350326  by Sergio Guadarrama:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

--
297201668  by Sergio Guadarrama:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

--
294483372  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 311933687

* Merged commit includes the following changes:
312578615  by Menglong Zhu:

    Modify the LSTM feature extractors to be python 3 compatible.

--
311264357  by Menglong Zhu:

    Removes contrib.slim

--
308957207  by Menglong Zhu:

    Automated refactoring to make code Python 3 compatible.

--
306976470  by yongzhe:

    Internal change

306777559  by Menglong Zhu:

    Internal change

--
299232507  by lzyuan:

    Internal update.

--
299221735  by lzyuan:

    Add small epsilon on max_range for quantize_op to prevent range collapse.

--

PiperOrigin-RevId: 312578615

* Merged commit includes the following changes:
310447280  by lzc:

    Internal changes.

--

PiperOrigin-RevId: 310447280
Co-authored-by: Sergio Guadarrama <sguada@google.com>
Co-authored-by: Menglong Zhu <menglong@google.com>

310447280  by lzc:

    Internal change

310420845  by Zhichao Lu:

    Open source the internal Context RCNN code.

--
310362339  by Zhichao Lu:

    Internal change

310259448  by lzc:

    Update required TF version for OD API.

--
310252159  by Zhichao Lu:

    Port patch_ops_test to TF1/TF2 as TPUs.

--
310247180  by Zhichao Lu:

    Ignore keypoint heatmap loss in the regions/bounding boxes with target keypoint
    class but no valid keypoint annotations.

--
310178294  by Zhichao Lu:

    Opensource MnasFPN
    https://arxiv.org/abs/1912.01106

--
310094222  by lzc:

    Internal changes.

--
310085250  by lzc:

    Internal Change.

--
310016447  by huizhongc:

    Remove unrecognized classes from labeled_classes.

--
310009470  by rathodv:

    Mark batcher.py as TF1 only.

--
310001984  by rathodv:

    Update core/preprocessor.py to be compatible with TF1/TF2..

--
309455035  by Zhi...

The current android Dockerfile for object detectiion is not functional anymore. This commit fixes it by the following changes:
 - install gpg-agent, update google-cloud-sdk installation from https://cloud.google.com/sdk/docs/quickstart-debian-ubuntu
 - use non-interactive front end to set default tzdata configuration (required for TF object detection installation)
 - fix the tensorflow configuration

Leaving the base image untouched, although nightly-devel is no longer actively maintained. It may be worth upgrading as a separate effort later.