GitLab

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>

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...

310447280  by lzc:

    Internal change

310420845  by Zhichao Lu:

    Open source the internal Context RCNN code.

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310362339  by Zhichao Lu:

    Internal change

310259448  by lzc:

    Update required TF version for OD API.

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310252159  by Zhichao Lu:

    Port patch_ops_test to TF1/TF2 as TPUs.

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310247180  by Zhichao Lu:

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

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310178294  by Zhichao Lu:

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

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310094222  by lzc:

    Internal changes.

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310085250  by lzc:

    Internal Change.

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310016447  by huizhongc:

    Remove unrecognized classes from labeled_classes.

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310009470  by rathodv:

    Mark batcher.py as TF1 only.

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310001984  by rathodv:

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

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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.

typo fixed

247226201  by ronnyvotel:

    Updating the visualization tools to accept unique_ids for color coding.

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247067830  by Zhichao Lu:

    Add box_encodings_clip_range options for the convolutional box predictor (for TPU compatibility).

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246888475  by Zhichao Lu:

    Remove unused _update_eval_steps function.

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246163259  by lzc:

    Add a gather op that can handle ignore indices (which are "-1"s in this case).

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246084944  by Zhichao Lu:

    Keras based implementation for SSD + MobilenetV2 + FPN.

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245544227  by rathodv:

    Add batch_get_targets method to target assigner module to gather any groundtruth tensors based on the results of target assigner.

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245540854  by rathodv:

    Update target assigner to return match tensor instead of a match object.

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245434441  by Zhichao Lu:

    Add README for tpu_exporters package.

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245381834  by lzc:

    Internal change.

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245298983  by Zh...

223075771  by lzc:

    Bring in external fixes.

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222919755  by ronnyvotel:

    Bug fix in faster r-cnn model builder. Was previously using `inplace_batchnorm_update` for `reuse_weights`.

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222885680  by Zhichao Lu:

    Use the result_dict_for_batched_example in models_lib
    Also fixes the visualization size on when eval is on GPU

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222883648  by Zhichao Lu:

    Fix _unmatched_class_label for the _add_background_class == False case in ssd_meta_arch.py.

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222836663  by Zhichao Lu:

    Adding support for visualizing grayscale images. Without this change, the images are black-red instead of grayscale.

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222501978  by Zhichao Lu:

    Fix a bug that caused convert_to_grayscale flag not to be respected.

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222432846  by richardmunoz:

    Fix mapping of groundtruth_confidences from shape [num_boxes] to [num_boxes, num_classes] when the input contains the groundtruth_confidences field.

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221725755  by richardmunoz:

    Internal change.

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221458536  by Zhichao Lu:

    Fix saver defer build bug in object detection train codepath.

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221391590  by Zhichao Lu:

    Add support for group normalization in the object detection API. Just adding MobileNet-v1 SSD currently. This may serve as a road map for other models that wish to support group normalization as an option.

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221367993  by Zhichao Lu:

    Bug fixes (1) Make RandomPadImage work, (2) Fix keep_checkpoint_every_n_hours.

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221266403  by rathodv:

    Use detection boxes as proposals to compute correct mask loss in eval jobs.

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220845934  by lzc:

    Internal change.

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220778850  by Zhichao Lu:

    Incorporating existing metrics into Estimator framework.
    Should restore:
    -oid_challenge_detection_metrics
    -pascal_voc_detection_metrics
    -weighted_pascal_voc_detection_metrics
    -pascal_voc_instance_segmentation_metrics
    -weighted_pascal_voc_instance_segmentation_metrics
    -oid_V2_detection_metrics

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220370391  by alirezafathi:

    Adding precision and recall to the metrics.

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220321268  by Zhichao Lu:

    Allow the option of setting max_examples_to_draw to zero.

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220193337  by Zhichao Lu:

    This CL fixes a bug where the Keras convolutional box predictor was applying heads in the non-deterministic dict order. The consequence of this bug was that variables were created in non-deterministic orders. This in turn led different workers in a multi-gpu training setup to have slightly different graphs which had variables assigned to mismatched parameter servers. As a result, roughly half of all workers were unable to initialize and did no work, and training time was slowed down approximately 2x.

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220136508  by huizhongc:

    Add weight equalization loss to SSD meta arch.

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220125875  by pengchong:

    Rename label_scores to label_weights

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219730108  by Zhichao Lu:

    Add description of detection_keypoints in postprocessed_tensors to docstring.

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219577519  by pengchong:

    Support parsing the class confidences and training using them.

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219547611  by lzc:

    Stop using static shapes in GPU eval jobs.

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219536476  by Zhichao Lu:

    Migrate TensorFlow Lite out of tensorflow/contrib

    This change moves //tensorflow/contrib/lite to //tensorflow/lite in preparation
    for TensorFlow 2.0's deprecation of contrib/. If you refer to TF Lite build
    targets or headers, you will need to update them manually. If you use TF Lite
    from the TensorFlow python package, "tf.contrib.lite" now points to "tf.lite".
    Please update your imports as soon as possible.

    For more details, see https://groups.google.com/a/tensorflow.org/forum/#!topic/tflite/iIIXOTOFvwQ

    @angersson and @aselle are conducting this migration. Please contact them if
    you have any further questions.

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219190083  by Zhichao Lu:

    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.

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218924451  by pengchong:

    Add a new way to assign training targets using groundtruth confidences.

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218760524  by chowdhery:

    Modify export script to add option for regular NMS in TFLite post-processing op.

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PiperOrigin-RevId: 223075771

204489224  by Zhichao Lu:

    Modify ssd mobilenet v1 fpn config to be a bit more tolerant to OOM failure by bumping down the batch size to 64 and doubling the number of iterations to 25k. It now converges in 2.5 hours.

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204488942  by Zhichao Lu:

    Internal change

204480631  by Zhichao Lu:

    This CL makes sure that num_steps parameter are not updated to 0 if num_steps field is not mentioned in config.

    The default behavior for number of steps parameter for training is infinite (train forever). The default value num_steps in train.proto is 0 (for training indefinitely). However the estimator/training function expects the num_steps to be set to None to train indefinitely.

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204437217  by Zhichao Lu:

    Create a Docker image to support TensorFlow Lite / Object Detection blog post.

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204317570  by Zhichao Lu:

    Internal change

PiperOrigin-RevId: 204489224