GitLab

use case which uses the keypoint location to determine the object center
location and heatmap.

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Updated the tf_example decoder and decoder builders to parse the keypoint depth features from the input tf.Example.

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FPN network.

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Context R-CNN Updates: Added capabilities to use multi-headed or multi-layered attention, to place the attention heads pre- or post-second stage feature extraction, and to work with embedded features in the context feature back from pre- or post-second stage feature extraction. Added an option for RPN feature map crops to be piped through to model outputs.

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DEFAULT_VALUE_OK=setting prefetch batches default to 2 as using -1 can cause memory issues for some models such as context r-cnn that use sequence examples.

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When InputReader.sample_from_datasets_weights is set, we apply these to sample individual input files.

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Add a temporal offset prediction head to improve tracking accuracy, similar to "Tracking Objects as Points"(https://arxiv.org/abs/2004.01177).
Notice that the original paper requires a change to the input pipeline, which is not included in this commit.

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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>

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

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.

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318493408  by aom:

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

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PiperOrigin-RevId: 318497061

318106429  by derekjchow:

    Add Dockerfiles for TF-OD API.

    1.15 and 2.2 supported currently.

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318083650  by rathodv:

    Internal Change.

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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.

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317753117  by Zhichao Lu:

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

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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.

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317136881  by Zhichao Lu:

    Clarifying documentation

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317097141  by Zhichao Lu:

    Adding Context R-CNN Release to TFODAPI ReadMe

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316999744  by Zhichao Lu:

    Add import tensorflow.compat.v2 as tf2 in the model_lib to
    ensure tf1 compatibility.

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316964482  by Zhichao Lu:

    adding a note about a config change needed for exporting detection features

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316944293  by Zhichao Lu:

    Adding install instructions for apache beam

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316917592  by lzc:

    Internal change.

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PiperOrigin-RevId: 318106429
Co-authored-by: Zhichao Lu <lzc@google.com>