GitLab

Added missing 's' character in "install". Added link to pyglet documentation.

233991726  by Sergio Guadarrama:

    Internal change

231925959  by Sergio Guadarrama:

    Internal change

231253502  by Sergio Guadarrama:

    Internal change

229973546  by Sergio Guadarrama:

    Internal change

229870842  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 233991726

236813471  by lzc:

    Internal change.

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236507310  by lzc:

    Fix preprocess.random_resize_method config type issue. The target height and width will be passed as "size" to tf.image.resize_images which only accepts integer.

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236409989  by Zhichao Lu:

    Config export_to_tpu from function parameter instead of HParams for TPU inference.

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236403186  by Zhichao Lu:

    Make graph file names optional arguments.

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236237072  by Zhichao Lu:

    Minor bugfix for keyword args.

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236209602  by Zhichao Lu:

    Add support for PartitionedVariable to get_variables_available_in_checkpoint.

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235828658  by Zhichao Lu:

    Automatically stop evaluation jobs when training is finished.

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235817964  by Zhichao Lu:

    Add an optional process_metrics_fn callback to eval_util, it gets called
    with evaluation results once each evaluation is complete.

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235788721  by lzc:

    Fix yml file tf runtime version.

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235262897  by Zhichao Lu:

    Add keypoint support to the random_pad_image preprocessor method.

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235257380  by Zhichao Lu:

    Support InputDataFields.groundtruth_confidences in retain_groundtruth(), retain_groundtruth_with_positive_classes(), filter_groundtruth_with_crowd_boxes(), filter_groundtruth_with_nan_box_coordinates(), filter_unrecognized_classes().

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235109188  by Zhichao Lu:

    Fix bug in pad_input_data_to_static_shapes for num_additional_channels > 0; make color-specific data augmentation only touch RGB channels.

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235045010  by Zhichao Lu:

    Don't slice class_predictions_with_background when add_background_class is false.

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235026189  by lzc:

    Fix import in g3doc.

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234863426  by Zhichao Lu:

    Added fixes in exporter to allow writing a checkpoint to a specified temporary directory.

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234671886  by lzc:

    Internal Change.

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234630803  by rathodv:

    Internal Change.

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233985896  by Zhichao Lu:

    Add Neumann optimizer to object detection.

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233560911  by Zhichao Lu:

    Add NAS-FPN object detection with Resnet and Mobilenet v2.

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233513536  by Zhichao Lu:

    Export TPU compatible object detection model

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233495772  by lzc:

    Internal change.

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233453557  by Zhichao Lu:

    Create Keras-based SSD+MobilenetV1 for object detection.

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233220074  by lzc:

    Update release notes date.

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233165761  by Zhichao Lu:

    Support depth_multiplier and min_depth in _SSDResnetV1FpnFeatureExtractor.

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233160046  by lzc:

    Internal change.

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232926599  by Zhichao Lu:

    [tf.data] Switching tf.data functions to use `defun`, providing an escape hatch to continue using the legacy `Defun`.

    There are subtle differences between the implementation of `defun` and `Defun` (such as resources handling or control flow) and it is possible that input pipelines that use control flow or resources in their functions might be affected by this change. To migrate majority of existing pipelines to the recommended way of creating functions in TF 2.0 world, while allowing (a small number of) existing pipelines to continue relying on the deprecated behavior, this CL provides an escape hatch.

    If your input pipeline is affected by this CL, it should apply the escape hatch by replacing `foo.map(...)` with `foo.map_with_legacy_function(...)`.

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232891621  by Zhichao Lu:

    Modify faster_rcnn meta architecture to normalize raw detections.

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232875817  by Zhichao Lu:

    Make calibration a post-processing step.

    Specifically:
    - Move the calibration config from pipeline.proto --> post_processing.proto
    - Edit post_processing_builder.py to return a calibration function. If no calibration config is provided, it None.
    - Edit SSD and FasterRCNN meta architectures to optionally call the calibration function on detection scores after score conversion and before NMS.

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232704481  by Zhichao Lu:

    Edit calibration builder to build a function that will be used within a detection model's `postprocess` method, after score conversion and before non-maxima suppression.

    Specific Edits:
    - The returned function now accepts class_predictions_with_background as its argument instead of detection_scores and detection_classes.
    - Class-specific calibration was temporarily removed, as it requires more significant refactoring. Will be added later.

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232615379  by Zhichao Lu:

    Internal change

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232483345  by ronnyvotel:

    Making the use of bfloat16 restricted to TPUs.

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232399572  by Zhichao Lu:

    Edit calibration builder and proto to support class-agnostic calibration.

    Specifically:
    - Edit calibration protos to include path to relevant label map if required for class-specific calibration. Previously, label maps were inferred from other parts of the pipeline proto; this allows all information required by the builder stay within the calibration proto and remove extraneous information from being passed with class-agnostic calibration.
    - Add class-agnostic protos to the calibration config.

    Note that the proto supports sigmoid and linear interpolation parameters, but the builder currently only supports linear interpolation.

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231613048  by Zhichao Lu:

    Add calibration builder for applying calibration transformations from output of object detection models.

    Specifically:
    - Add calibration proto to support sigmoid and isotonic regression (stepwise function) calibration.
    - Add a builder to support calibration from isotonic regression outputs.

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231519786  by lzc:

    model_builder test refactor.
    - removed proto text boilerplate in each test case and let them call a create_default_proto function instead.
    - consolidated all separate ssd model creation tests into one.
    - consolidated all separate faster rcnn model creation tests into one.
    - used parameterized test for testing mask rcnn models and use_matmul_crop_and_resize
    - added all failures test.

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231448169  by Zhichao Lu:

    Return static shape as a constant tensor.

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231423126  by lzc:

    Add a release note for OID v4 models.

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231401941  by Zhichao Lu:

    Adding correct labelmap for the models trained on Open Images V4 (*oid_v4
    config suffix).

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231320357  by Zhichao Lu:

    Add scope to Nearest Neighbor Resize op so that it stays in the same name scope as the original resize ops.

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231257699  by Zhichao Lu:

    Switch to using preserve_aspect_ratio in tf.image.resize_images rather than using a custom implementation.

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231247368  by rathodv:

    Internal change.

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231004874  by lzc:

    Update documentations to use tf 1.12 for object detection API.

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230999911  by rathodv:

    Use tf.batch_gather instead of ops.batch_gather

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230999720  by huizhongc:

    Fix weight equalization test in ops_test.

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230984728  by rathodv:

    Internal update.

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230929019  by lzc:

    Add an option to replace preprocess operation with placeholder for ssd feature extractor.

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230845266  by lzc:

    Require tensorflow version 1.12 for object detection API and rename keras_applications to keras_models

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230392064  by lzc:

    Add RetinaNet 101 checkpoint trained on OID v4 to detection model zoo.

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230014128  by derekjchow:

    This file was re-located below the tensorflow/lite/g3doc/convert

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229941449  by lzc:

    Update SSD mobilenet v2 quantized model download path.

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229843662  by lzc:

    Add an option to use native resize tf op in fpn top-down feature map generation.

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229636034  by rathodv:

    Add deprecation notice to a few old parameters in train.proto

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228959078  by derekjchow:

    Remove duplicate elif case in _check_and_convert_legacy_input_config_key

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228749719  by rathodv:

    Minor refactoring to make exporter's `build_detection_graph` method public.

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228573828  by rathodv:

    Mofity model.postprocess to return raw detections and raw scores.

    Modify, post-process methods in core/model.py and the meta architectures to export raw detection (without any non-max suppression) and raw multiclass score logits for those detections.

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228420670  by Zhichao Lu:

    Add shims for custom architectures for object detection models.

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228241692  by Zhichao Lu:

    Fix the comment on "losses_mask" in "Loss" class.

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228223810  by Zhichao Lu:

    Support other_heads' predictions in WeightSharedConvolutionalBoxPredictor. Also remove a few unused parameters and fix a couple of comments in convolutional_box_predictor.py.

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228200588  by Zhichao Lu:

    Add Expected Calibration Error and an evaluator that calculates the metric for object detections.

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228167740  by lzc:

    Add option to use bounded activations in FPN top-down feature map generation.

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227767700  by rathodv:

    Internal.

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226295236  by Zhichao Lu:

    Add Open Image V4 Resnet101-FPN training config to third_party

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226254842  by Zhichao Lu:

    Fix typo in documentation.

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225833971  by Zhichao Lu:

    Option to have no resizer in object detection model.

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225824890  by lzc:

    Fixes p3 compatibility for model_lib.py

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225760897  by menglong:

    normalizer should be at least 1.

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225559842  by menglong:

    Add extra logic filtering unrecognized classes.

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225379421  by lzc:

    Add faster_rcnn_inception_resnet_v2_atrous_oid_v4 config to third_party

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225368337  by Zhichao Lu:

    Add extra logic filtering unrecognized classes.

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225341095  by Zhichao Lu:

    Adding Open Images V4 models to OD API model zoo and corresponding configs to the
    configs.

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225218450  by menglong:

    Add extra logic filtering unrecognized classes.

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225057591  by Zhichao Lu:

    Internal change.

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224895417  by rathodv:

    Internal change.

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224209282  by Zhichao Lu:

    Add two data augmentations to object detection: (1) Self-concat (2) Absolute pads.

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224073762  by Zhichao Lu:

    Do not create tf.constant until _generate() is actually called in the object detector.

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PiperOrigin-RevId: 236813471

* Internal changes

PiperOrigin-RevId: 237183552

* update readme

PiperOrigin-RevId: 237184584

* replace the usage of python's built in sort with numpy's argsort, which is faster. Also use the given axes to get the most_likely_words instead of calling enumerate and list (it's slower and more memory conssuming)

* correct indentation and redaction on comment for the changes purposes according to cshallue's comment

Open-source FEELVOS model, which was developed by Paul Voigtlaender during his 2018 summer internship at Google. The work has been accepted to CVPR 2019. (#6274)

* Fixed incorrect tensor

* Replaced xrange with range for python3 compatibility

* \nRefactor deeplab to use MonitoredTrainingSession\n

PiperOrigin-RevId: 234237190

* Update export_model.py

* Update nas_cell.py

* Update nas_network.py

* Update train.py

* Update deeplab_demo.ipynb

* Update nas_cell.py

This import from google3.third_party doesn't work.

This file was inadvertantly renamed in #6071.

As discussed here: https://github.com/tensorflow/tensorflow/issues/11312, this change allows this script to work in Python 3.

This file was re-located below the tensorflow/lite/g3doc/convert
Signed-off-by: MyungSung Kwak <yesmung@gmail.com>

228203246  by Sergio Guadarrama:

    Add a write text graphdef option.

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226110161  by Sergio Guadarrama:

    Add license to i3d/s3dg and tests.

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226074013  by Sergio Guadarrama:

    Network definitions for I3D and S3D-G.

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224394404  by Sergio Guadarrama:

    Add video model option for exported inference graphs.

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224220779  by Sergio Guadarrama:

    Internal change

223589268  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 228203246

Changes in Tensorflow contrib:
https://github.com/tensorflow/tensorflow/commit/304faf0444260912b6996d39227417c09561c37e

Causes tensortt.py to fail. 

```
AttributeError: 'module' object has no attribute 'get_signature_def_by_key'
```
Replace `tf.contrib.saved_model.get_signature_def_by_key` with `meta_graph_def.signature_def`

* Remove duplicate elif case in _check_and_convert_legacy_input_config_key

* Remove duplicate eval_input_path case.

Fixes the variable name for the tf proto example function.

PiperOrigin-RevId: 223839440

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

223150784  by Sergio Guadarrama:

    Allow using batch norm scale parameters for Inception models.

--
221391590  by Sergio Guadarrama:

    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.

--
221342582  by Sergio Guadarrama:

    Internal change

220817084  by Sergio Guadarrama:

    Internal change

216005108  by Sergio Guadarrama:

    Introduce hparam `use_bounded_activation` for NASNet. The hparam decides whether to use
    1. bounded activation
    2. clip_by_value for the add operands and bounded activation after add operator.
    3. bounded activation before 'none' and 'pooling' branch
    The restriction on the tensor value range makes it compatible with quantized inference.

--

PiperOrigin-RevId: 223150784

PiperOrigin-RevId: 223442581

PiperOrigin-RevId: 223437592

Also fix a few lint errors in unit tests.

PiperOrigin-RevId: 223434695

PiperOrigin-RevId: 223433850