GitLab

Internal changes

--

PiperOrigin-RevId: 316837667

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...

* Merged commit includes the following changes:
275131829  by Sergio Guadarrama:

    updates mobilenet/README.md to be github compatible adds V2+ reference to mobilenet_v1.md file and fixes invalid markdown

--
274908068  by Sergio Guadarrama:

    Opensource MobilenetV3 detection models.

--
274697808  by Sergio Guadarrama:

    Fixed cases where tf.TensorShape was constructed with float dimensions

    This is a prerequisite for making TensorShape and Dimension more strict
    about the types of their arguments.

--
273577462  by Sergio Guadarrama:

    Fixing `conv_defs['defaults']` override issue.

--
272801298  by Sergio Guadarrama:

    Adds links to trained models for Moblienet V3, adds a version of minimalistic mobilenet-v3 to the definitions.

--
268928503  by Sergio Guadarrama:

    Mobilenet v2 with group normalization.

--
263492735  by Sergio Guadarrama:

    Internal change

260037126  by Sergio Guadarrama:

    Adds an option of using a custom depthwise operation in `expanded_conv`.

--
259997001  by Sergio Guadarrama:

    Explicitly mark Python binaries/tests with python_version = "PY2".

--
252697685  by Sergio Guadarrama:

    Internal change

251918746  by Sergio Guadarrama:

    Internal change

251909704  by Sergio Guadarrama:

    Mobilenet V3 backbone implementation.

--
247510236  by Sergio Guadarrama:

    Internal change

246196802  by Sergio Guadarrama:

    Internal change

246014539  by Sergio Guadarrama:

    Internal change

245891435  by Sergio Guadarrama:

    Internal change

245834925  by Sergio Guadarrama:

    n/a

--

PiperOrigin-RevId: 275131829

* Merged commit includes the following changes:
274959989  by Zhichao Lu:

    Update detection model zoo with MobilenetV3 SSD candidates.

--
274908068  by Zhichao Lu:

    Opensource MobilenetV3 detection models.

--
274695889  by richardmunoz:

    RandomPatchGaussian preprocessing step

    This step can be used during model training to randomly apply gaussian noise to a random image patch. Example addition to an Object Detection API pipeline config:

    train_config {
      ...
      data_augmentation_options {
        random_patch_gaussian {
          random_coef: 0.5
          min_patch_size: 1
          max_patch_size: 250
          min_gaussian_stddev: 0.0
          max_gaussian_stddev: 1.0
        }
      }
      ...
    }

--
274257872  by lzc:

    Internal change.

--
274114689  by Zhichao Lu:

    Pass native_resize flag to other FPN variants.

--
274112308  by lzc:

    Internal change.

--
274090763  by richardmunoz:

    Util function for getting a patch mask on an image for use with the Object Detection API

--
274069806  by Zhichao Lu:

    Adding functions which will help compute predictions and losses for CenterNet.

--
273860828  by lzc:

    Internal change.

--
273380069  by richardmunoz:

    RandomImageDownscaleToTargetPixels preprocessing step

    This step can be used during model training to randomly downscale an image to a random target number of pixels. If the image does not contain more than the target number of pixels, then downscaling is skipped. Example addition to an Object Detection API pipeline config:

    train_config {
      ...
      data_augmentation_options {
        random_downscale_to_target_pixels {
          random_coef: 0.5
          min_target_pixels: 300000
          max_target_pixels: 500000
        }
      }
      ...
    }

--
272987602  by Zhichao Lu:

    Avoid -inf when empty box list is passed.

--
272525836  by Zhichao Lu:

    Cleanup repeated resizing code in meta archs.

--
272458667  by richardmunoz:

    RandomJpegQuality preprocessing step

    This step can be used during model training to randomly encode the image into a jpeg with a random quality level. Example addition to an Object Detection API pipeline config:

    train_config {
      ...
      data_augmentation_options {
        random_jpeg_quality {
          random_coef: 0.5
          min_jpeg_quality: 80
          max_jpeg_quality: 100
        }
      }
      ...
    }

--
271412717  by Zhichao Lu:

    Enables TPU training with the V2 eager + tf.function Object Detection training loops.

--
270744153  by Zhichao Lu:

    Adding the offset and size target assigners for CenterNet.

--
269916081  by Zhichao Lu:

    Include basic installation in Object Detection API tutorial.
    Also:
     - Use TF2.0
     - Use saved_model

--
269376056  by Zhichao Lu:

    Fix to variable loading in RetinaNet w/ custom loops. (makes the code rely on the exact name scopes that are generated a little bit less)

--
269256251  by lzc:

    Add use_partitioned_nms field to config and update post_prossing_builder to honor that flag when building nms function.

--
268865295  by Zhichao Lu:

    Adding functionality for importing and merging back internal state of the metric.

--
268640984  by Zhichao Lu:

    Fix computation of gaussian sigma value to create CenterNet heatmap target.

--
267475576  by Zhichao Lu:

    Fix for exporter trying to export non-existent exponential moving averages.

--
267286768  by Zhichao Lu:

    Update mixed-precision policy.

--
266166879  by Zhichao Lu:

    Internal change

265860884  by Zhichao Lu:

    Apply floor function to center coordinates when creating heatmap for CenterNet target.

--
265702749  by Zhichao Lu:

    Internal change

--
264241949  by ronnyvotel:

    Updating Faster R-CNN 'final_anchors' to be in normalized coordinates.

--
264175192  by lzc:

    Update model_fn to only read hparams if it is not None.

--
264159328  by Zhichao Lu:

    Modify nearest neighbor upsampling to eliminate a multiply operation. For quantized models, the multiply operation gets unnecessarily quantized and reduces accuracy (simple stacking would work in place of the broadcast op which doesn't require quantization). Also removes an unnecessary reshape op.

--
263668306  by Zhichao Lu:

    Add the option to use dynamic map_fn for batch NMS

--
263031163  by Zhichao Lu:

    Mark outside compilation for NMS as optional.

--
263024916  by Zhichao Lu:

    Add an ExperimentalModel meta arch for experimenting with new model types.

--
262655894  by Zhichao Lu:

    Add the center heatmap target assigner for CenterNet

--
262431036  by Zhichao Lu:

    Adding add_eval_dict to allow for evaluation on model_v2

--
262035351  by ronnyvotel:

    Removing any non-Tensor predictions from the third stage of Mask R-CNN.

--
261953416  by Zhichao Lu:

    Internal change.

--
261834966  by Zhichao Lu:

    Fix the NMS OOM issue on TPU by forcing NMS to run outside of TPU.

--
261775941  by Zhichao Lu:

    Make Keras InputLayer compatible with both TF 1.x and TF 2.0.

--
261775633  by Zhichao Lu:

    Visualize additional channels with ground-truth bounding boxes.

--
261768117  by lzc:

    Internal change.

--
261766773  by ronnyvotel:

    Exposing `return_raw_detections_during_predict` in Faster R-CNN Proto.

--
260975089  by ronnyvotel:

    Moving calculation of batched prediction tensor names after all tensors in prediction dictionary are created.

--
259816913  by ronnyvotel:

    Adding raw detection boxes and feature map indices to SSD

--
259791955  by Zhichao Lu:

    Added a flag to control the use partitioned_non_max_suppression.

--
259580475  by Zhichao Lu:

    Tweak quantization-aware training re-writer to support NasFpn model architecture.

--
259579943  by rathodv:

    Add a meta target assigner proto and builders in OD API.

--
259577741  by Zhichao Lu:

    Internal change.

--
259366315  by lzc:

    Internal change.

--
259344310  by ronnyvotel:

    Updating faster rcnn so that raw_detection_boxes from predict() are in normalized coordinates.

--
259338670  by Zhichao Lu:

    Add support for use_native_resize_op to more feature extractors. Use dynamic shapes when static shapes are not available.

--
259083543  by ronnyvotel:

    Updating/fixing documentation.

--
259078937  by rathodv:

    Add prediction fields for tensors returned from detection_model.predict.

--
259044601  by Zhichao Lu:

    Add protocol buffer and builders for temperature scaling calibration.

--
259036770  by lzc:

    Internal changes.

--
259006223  by ronnyvotel:

    Adding detection anchor indices to Faster R-CNN Config. This is useful when one wishes to associate final detections and the anchors (or pre-nms boxes) from which they originated.

--
258872501  by Zhichao Lu:

    Run the training pipeline of ssd + resnet_v1_50 + fpn with a checkpoint.

--
258840686  by ronnyvotel:

    Adding standard outputs to DetectionModel.predict(). This CL only updates Faster R-CNN. Other meta architectures will be updated in future CLs.

--
258672969  by lzc:

    Internal change.

--
258649494  by lzc:

    Internal changes.

--
258630321  by ronnyvotel:

    Fixing documentation in shape_utils.flatten_dimensions().

--
258468145  by Zhichao Lu:

    Add additional output tensors parameter to Postprocess op.

--
258099219  by Zhichao Lu:

    Internal changes

--

PiperOrigin-RevId: 274959989

* Updating python API to use CombinedNonMaxSuppresion TF operator

1. Adds a unit test to test post_processing python API
2. Currently sets clip_window to None as the kernel uses the default
   clip_window of [0,0,1,1]
3. Added use_static_shapes to the API. In old API if
   use_static_shapes is true, then it pads/clips outputs to max_total_size, if
specified. If not specified, it pads to num_classes*max_size_per_class.
 If use_static_shapes is false, it always pads/clips to max_total_size.

Update unit test to account for clipped bouding boxes

Changed the name to CombinedNonMaxSuppression based on feedback from Google

Added additional parameters to combinedNMS python function. They are currently
unused and required for networks like FasterRCNN and MaskRCNN

* Delete selected_indices from API

Because it was removed from CombinedNMS recently in the PR.

* Improve doc of function combined_non_max_suppression

* Enable CombinedNonMaxSuppression for first_stage_nms

* fix bug

* Ensure agnostic_nms is not used with combined_nms

Remove redundant arguments from combined_nms

* Fix pylint

* Add checks for unsupported args

* Fix pylint

* Move combined_non_max_suppression to batch_multiclass_non_max_suppression

Also rename combined_nms to use_combined_nms

* Delete combined_nms for first_stage_nms because it does not work

* Revert "Delete combined_nms for first_stage_nms because it does not work"

This reverts commit 2a3cc5145f17cee630a67ddedd20e90c2920fa9f.

* Use nmsed_additional_fields.get to avoid error

* Merge combined_non_max_suppression with main nms function

* Rename combined_nms for first stage nms

* Improve  docs

* Use assertListEqual for numpy arrays

* Fix pylint errors

* End comments with period

* Internal change.

PiperOrigin-RevId: 213914693

* Add original_image_spatial_shape tensor in input dictionary to store shape of the original input image

PiperOrigin-RevId: 214018767

* Remove "groundtruth_confidences" from decoders use "groundtruth_weights" to indicate label confidence.

This also solves a bug that only surfaced now - random crop routines in core/preprocessor.py did not correctly handle "groundtruth_weight" tensors returned by the decoders.

PiperOrigin-RevId: 214091843

* Update CocoMaskEvaluator to allow for a batch of image info, rather than a single image.

PiperOrigin-RevId: 214295305

* Adding the option to be able to summarize gradients.

PiperOrigin-RevId: 214310875

* Adds FasterRCNN inference on CPU

1. Adds a flag use_static_shapes_for_eval to restrict to the ops that guarantees static shape.
2. No filtering of overlapping anchors while clipping the anchors when use_static_shapes_for_eval is set to True.
3. A...

Release iNaturalist Species-trained models, refactor of evaluation, box predictor for object detection. (#5289)

* Merged commit includes the following changes:
212389173  by Zhichao Lu:

    1. Replace tf.boolean_mask with tf.where

--
212282646  by Zhichao Lu:

    1. Fix a typo in model_builder.py and add a test to cover it.

--
212142989  by Zhichao Lu:

    Only resize masks in meta architecture if it has not already been resized in the input pipeline.

--
212136935  by Zhichao Lu:

    Choose matmul or native crop_and_resize in the model builder instead of faster r-cnn meta architecture.

--
211907984  by Zhichao Lu:

    Make eval input reader repeated field and update config util to handle this field.

--
211858098  by Zhichao Lu:

    Change the implementation of merge_boxes_with_multiple_labels.

--
211843915  by Zhichao Lu:

    Add Mobilenet v2 + FPN support.

--
211655076  by Zhichao Lu:

    Bug fix for generic keys in config overrides

    In generic configuration overrides, we had a duplicate entry for train_input_config and we were missing the eval_input_config and eval_config.

    This change also introduces testing for all config overrides.

--
211157501  by Zhichao Lu:

    Make the locally-modified conv defs a copy.

    So that it doesn't modify MobileNet conv defs globally for other code that
    transitively imports this package.

--
211112813  by Zhichao Lu:

    Refactoring visualization tools for Estimator's eval_metric_ops. This will make it easier for future models to take advantage of a single interface and mechanics.

--
211109571  by Zhichao Lu:

    A test decorator.

--
210747685  by Zhichao Lu:

    For FPN, when use_depthwise is set to true, use slightly modified mobilenet v1 config.

--
210723882  by Zhichao Lu:

    Integrating the losses mask into the meta architectures. When providing groundtruth, one can optionally specify annotation information (i.e. which images are labeled vs. unlabeled). For any image that is unlabeled, there is no loss accumulation.

--
210673675  by Zhichao Lu:

    Internal change.

--
210546590  by Zhichao Lu:

    Internal change.

--
210529752  by Zhichao Lu:

    Support batched inputs with ops.matmul_crop_and_resize.

    With this change the new inputs are images of shape [batch, heigh, width, depth] and boxes of shape [batch, num_boxes, 4]. The output tensor is of the shape [batch, num_boxes, crop_height, crop_width, depth].

--
210485912  by Zhichao Lu:

    Fix TensorFlow version check in object_detection_tutorial.ipynb

--
210484076  by Zhichao Lu:

    Reduce TPU memory required for single image matmul_crop_and_resize.

    Using tf.einsum eliminates intermediate tensors, tiling and expansion. for an image of size [40, 40, 1024] and boxes of shape [300, 4] HBM memory usage goes down from 3.52G to 1.67G.

--
210468361  by Zhichao Lu:

    Remove PositiveAnchorLossCDF/NegativeAnchorLossCDF to resolve "Main thread is not in main loop error" issue in local training.

--
210100253  by Zhichao Lu:

    Pooling pyramid feature maps: add option to replace max pool with convolution layers.

--
209995842  by Zhichao Lu:

    Fix a bug which prevents variable sharing in Faster RCNN.

--
209965526  by Zhichao Lu:

    Add support for enabling export_to_tpu through the estimator.

--
209946440  by Zhichao Lu:

    Replace deprecated tf.train.Supervisor with tf.train.MonitoredSession. MonitoredSession also takes away the hassle of starting queue runners.

--
209888003  by Zhichao Lu:

    Implement function to handle data where source_id is not set.

    If the field source_id is found to be the empty string for any image during runtime, it will be replaced with a random string. This avoids hash-collisions on dataset where many examples do not have source_id set. Those hash-collisions have unintended site effects and may lead to bugs in the detection pipeline.

--
209842134  by Zhichao Lu:

    Converting loss mask into multiplier, rather than using it as a boolean mask (which changes tensor shape). This is necessary, since other utilities (e.g. hard example miner) require a loss matrix with the same dimensions as the original prediction tensor.

--
209768066  by Zhichao Lu:

    Adding ability to remove loss computation from specific images in a batch, via an optional boolean mask.

--
209722556  by Zhichao Lu:

    Remove dead code.

    (_USE_C_API was flipped to True by default in TensorFlow 1.8)

--
209701861  by Zhichao Lu:

    This CL cleans-up some tf.Example creation snippets, by reusing the convenient tf.train.Feature building functions in dataset_util.

--
209697893  by Zhichao Lu:

    Do not overwrite num_epoch for eval input. This leads to errors in some cases.

--
209694652  by Zhichao Lu:

    Sample boxes by jittering around the currently given boxes.

--
209550300  by Zhichao Lu:

    `create_category_index_from_labelmap()` function now accepts `use_display_name` parameter.
    Also added create_categories_from_labelmap function for convenience

--
209490273  by Zhichao Lu:

    Check result_dict type before accessing image_id via key.

--
209442529  by Zhichao Lu:

    Introducing the capability to sample examples for evaluation. This makes it easy to specify one full epoch of evaluation, or a subset (e.g. sample 1 of every N examples).

--
208941150  by Zhichao Lu:

    Adding the capability of exporting the results in json format.

--
208888798  by Zhichao Lu:

    Fixes wrong dictionary key for num_det_boxes_per_image.

--
208873549  by Zhichao Lu:

    Reduce the number of HLO ops created by matmul_crop_and_resize.

    Do not unroll along the channels dimension. Instead, transpose the input image dimensions, apply tf.matmul and transpose back.

    The number of HLO instructions for 1024 channels reduce from 12368 to 110.

--
208844315  by Zhichao Lu:

    Add an option to use tf.non_maximal_supression_padded in SSD post-process

--
208731380  by Zhichao Lu:

    Add field in box_predictor config to enable mask prediction and update builders accordingly.

--
208699405  by Zhichao Lu:

    This CL creates a keras-based multi-resolution feature map extractor.

--
208557208  by Zhichao Lu:

    Add TPU tests for Faster R-CNN Meta arch.

    * Tests that two_stage_predict and total_loss tests run successfully on TPU.
    * Small mods to multiclass_non_max_suppression to preserve static shapes.

--
208499278  by Zhichao Lu:

    This CL makes sure the Keras convolutional box predictor & head layers apply activation layers *after* normalization (as opposed to before).

--
208391694  by Zhichao Lu:

    Updating visualization tool to produce multiple evaluation images.

--
208275961  by Zhichao Lu:

    This CL adds a Keras version of the Convolutional Box Predictor, as well as more general infrastructure for making Keras Prediction heads & Keras box predictors.

--
208275585  by Zhichao Lu:

    This CL enables the Keras layer hyperparameter object to build a dedicated activation layer, and to disable activation by default in the op layer construction kwargs.

    This is necessary because in most cases the normalization layer must be applied before the activation layer. So, in Keras models we must set the convolution activation in a dedicated layer after normalization is applied, rather than setting it in the convolution layer construction args.

--
208263792  by Zhichao Lu:

    Add a new SSD mask meta arch that can predict masks for SSD models.
    Changes including:
     - overwrite loss function to add mask loss computation.
     - update ssd_meta_arch to handle masks if predicted in predict and postprocessing.

--
208000218  by Zhichao Lu:

    Make FasterRCNN choose static shape operations only in training mode.

--
207997797  by Zhichao Lu:

    Add static boolean_mask op to box_list_ops.py and use that in faster_rcnn_meta_arch.py to support use_static_shapes option.

--
207993460  by Zhichao Lu:

    Include FGVC detection models in model zoo.

--
207971213  by Zhichao Lu:

    remove the restriction to run tf.nn.top_k op on CPU

--
207961187  by Zhichao Lu:

    Build the first stage NMS function in the model builder and pass it to FasterRCNN meta arch.

--
207960608  by Zhichao Lu:

    Internal Change.

--
207927015  by Zhichao Lu:

    Have an option to use the TPU compatible NMS op cl/206673787, in the batch_multiclass_non_max_suppression function. On setting pad_to_max_output_size to true, the output nmsed boxes are padded to be of length max_size_per_class.

    This can be used in first stage Region Proposal Network in FasterRCNN model by setting the first_stage_nms_pad_to_max_proposals field to true in config proto.

--
207809668  by Zhichao Lu:

    Add option to use depthwise separable conv instead of conv2d in FPN and WeightSharedBoxPredictor. More specifically, there are two related configs:
    - SsdFeatureExtractor.use_depthwise
    - WeightSharedConvolutionalBoxPredictor.use_depthwise

--
207808651  by Zhichao Lu:

    Fix the static balanced positive negative sampler's TPU tests

--
207798658  by Zhichao Lu:

    Fixes a post-refactoring bug where the pre-prediction convolution layers in the convolutional box predictor are ignored.

--
207796470  by Zhichao Lu:

    Make slim endpoints visible in FasterRCNNMetaArch.

--
207787053  by Zhichao Lu:

    Refactor ssd_meta_arch so that the target assigner instance is passed into the SSDMetaArch constructor rather than constructed inside.

--

PiperOrigin-RevId: 212389173

* Fix detection model zoo typo.

* Modify tf example decoder to handle label maps with either `display_name` or `name` fields seamlessly.

Currently, tf example decoder uses only `name` field to look up ids for class text field present in the data. This change uses both `display_name` and `name` fields in the label map to fetch ids for class text.

PiperOrigin-RevId: 212672223

* Modify create_coco_tf_record tool to write out class text instead of class labels.

PiperOrigin-RevId: 212679112

* Fix detection model zoo typo.

PiperOrigin-RevId: 212715692

* Adding the following two optional flags to WeightSharedConvolutionalBoxHead:
1) In the box head, apply clipping to box encodings in the box head.
2) In the class head, apply sigmoid to class predictions at inference time.

PiperOrigin-RevId: 212723242

* Support class confidences in merge boxes with multiple labels.

PiperOrigin-RevId: 212884998

* Creates multiple eval specs for object detection.

PiperOrigin-RevId: 212894556

* Set batch_norm on last layer in Mask Head to None.

PiperOrigin-RevId: 213030087

* Enable bfloat16 training for object detection models.

PiperOrigin-RevId: 213053547

* Skip padding op when unnecessary.

PiperOrigin-RevId: 213065869

* Modify `Matchers` to use groundtruth weights before performing matching.

Groundtruth weights tensor is used to indicate padding in groundtruth box tensor. It is handled in `TargetAssigner` by creating appropriate classification and regression target weights based on the groundtruth box each anchor matches to. However, options such as `force_match_all_rows` in `ArgmaxMatcher` force certain anchors to match to groundtruth boxes that are just paddings thereby reducing the number of anchors that could otherwise match to real groundtruth boxes.

For single stage models like SSD the effect of this is negligible as there are two orders of magnitude more anchors than the number of padded groundtruth boxes. But for Faster R-CNN and Mask R-CNN where there are only 300 anchors in the second stage, a significant number of these match to groundtruth paddings reducing the number of anchors regressing to real groundtruth boxes degrading the performance severely.

Therefore, this change introduces an additional boolean argument `valid_rows` to `Matcher.match` methods and the implementations now ignore such padded groudtruth boxes during matching.

PiperOrigin-RevId: 213345395

* Add release note for iNaturalist Species trained models.

PiperOrigin-RevId: 213347179

* Fix the bug of uninitialized gt_is_crowd_list variable.

PiperOrigin-RevId: 213364858

* ...text exposed to open source public git repo...

PiperOrigin-RevId: 213554260

* Merged commit includes the following changes:
206852642  by Zhichao Lu:

    Build the balanced_positive_negative_sampler in the model builder for FasterRCNN. Also adds an option to use the static implementation of the sampler.

--
206803260  by Zhichao Lu:

    Fixes a misplaced argument in resnet fpn feature extractor.

--
206682736  by Zhichao Lu:

    This CL modifies the SSD meta architecture to support both Slim-based and Keras-based box predictors, and begins preparation for Keras box predictor support in the other meta architectures.

    Concretely, this CL adds a new `KerasBoxPredictor` base class and makes the meta architectures appropriately call whichever box predictors they are using.

    We can switch the non-ssd meta architectures to fully support Keras box predictors once the Keras Convolutional Box Predictor CL is submitted.

--
206669634  by Zhichao Lu:

    Adds an alternate m...

* Merged commit includes the following changes:
202804536  by Zhichao Lu:

    Return tf.data.Dataset from input_fn that goes into the estimator and use PER_HOST_V2 option for tpu input pipeline config.

    This change shaves off 100ms per step resulting in 25 minutes of total reduced training time for ssd mobilenet v1 (15k steps to convergence).

--
202769340  by Zhichao Lu:

    Adding as_matrix() transformation for image-level labels.

--
202768721  by Zhichao Lu:

    Challenge evaluation protocol modification: adding labelmaps creation.

--
202750966  by Zhichao Lu:

    Add the explicit names to two output nodes.

--
202732783  by Zhichao Lu:

    Enforcing that batch size is 1 for evaluation, and no original images are retained during evaluation when use_tpu=False (to avoid dynamic shapes).

--
202425430  by Zhichao Lu:

    Refactor input pipeline to improve performance.

--
202406389  by Zhichao Lu:

    Only check the validity of `warmup_learning_rate` if it will be used.

--
202330450  by Zhichao Lu:

    Adding the description of the flag input_image_label_annotations_csv to add
      image-level labels to tf.Example.

--
202029012  by Zhichao Lu:

    Enabling displaying relationship name in the final metrics output.

--
202024010  by Zhichao Lu:

    Update to the public README.

--
201999677  by Zhichao Lu:

    Fixing the way negative labels are handled in VRD evaluation.

--
201962313  by Zhichao Lu:

    Fix a bug in resize_to_range.

--
201808488  by Zhichao Lu:

    Update ssd_inception_v2_pets.config to use right filename of pets dataset tf records.

--
201779225  by Zhichao Lu:

    Update object detection API installation doc

--
201766518  by Zhichao Lu:

    Add shell script to create pycocotools package for CMLE.

--
201722377  by Zhichao Lu:

    Removes verified_labels field and uses groundtruth_image_classes field instead.

--
201616819  by Zhichao Lu:

    Disable eval_on_tpu since eval_metrics is not setup to execute on TPU.
    Do not use run_config.task_type to switch tpu mode for EVAL,
    since that won't work in unit test.
    Expand unit test to verify that the same instantiation of the Estimator can independently disable eval on TPU whereas training is enabled on TPU.

--
201524716  by Zhichao Lu:

    Disable export model to TPU, inference is not compatible with TPU.
    Add GOOGLE_INTERNAL support in object detection copy.bara.sky

--
201453347  by Zhichao Lu:

    Fixing bug when evaluating the quantized model.

--
200795826  by Zhichao Lu:

    Fixing parsing bug: image-level labels are parsed as tuples instead of numpy
    array.

--
200746134  by Zhichao Lu:

    Adding image_class_text and image_class_label fields into tf_example_decoder.py

--
200743003  by Zhichao Lu:

    Changes to model_main.py and model_tpu_main to enable training and continuous eval.

--
200736324  by Zhichao Lu:

    Replace deprecated squeeze_dims argument.

--
200730072  by Zhichao Lu:

    Make detections only during predict and eval mode while creating model function

--
200729699  by Zhichao Lu:

    Minor correction to internal documentation (definition of Huber loss)

--
200727142  by Zhichao Lu:

    Add command line parsing as a set of flags using argparse and add header to the
    resulting file.

--
200726169  by Zhichao Lu:

    A tutorial on running evaluation for the Open Images Challenge 2018.

--
200665093  by Zhichao Lu:

    Cleanup on variables_helper_test.py.

--
200652145  by Zhichao Lu:

    Add an option to write (non-frozen) graph when exporting inference graph.

--
200573810  by Zhichao Lu:

    Update ssd_mobilenet_v1_coco and ssd_inception_v2_coco download links to point to a newer version.

--
200498014  by Zhichao Lu:

    Add test for groundtruth mask resizing.

--
200453245  by Zhichao Lu:

    Cleaning up exporting_models.md along with exporting scripts

--
200311747  by Zhichao Lu:

    Resize groundtruth mask to match the size of the original image.

--
200287269  by Zhichao Lu:

    Having a option to use custom MatMul based crop_and_resize op as an alternate to the TF op in Faster-RCNN

--
200127859  by Zhichao Lu:

    Updating the instructions to run locally with new binary. Also updating pets configs since file path naming has changed.

--
200127044  by Zhichao Lu:

    A simpler evaluation util to compute Open Images Challenge
    2018 metric (object detection track).

--
200124019  by Zhichao Lu:

    Freshening up configuring_jobs.md

--
200086825  by Zhichao Lu:

    Make merge_multiple_label_boxes work for ssd model.

--
199843258  by Zhichao Lu:

    Allows inconsistent feature channels to be compatible with WeightSharedConvolutionalBoxPredictor.

--
199676082  by Zhichao Lu:

    Enable an override for `InputReader.shuffle` for object detection pipelines.

--
199599212  by Zhichao Lu:

    Markdown fixes.

--
199535432  by Zhichao Lu:

    Pass num_additional_channels to tf.example decoder in predict_input_fn.

--
199399439  by Zhichao Lu:

    Adding `num_additional_channels` field to specify how many additional channels to use in the model.

--

PiperOrigin-RevId: 202804536

* Add original model builder and docs back.

PiperOrigin-RevId: 190688309

184048729  by Zhichao Lu:

    Modify target_assigner so that it creates regression targets taking keypoints into account.

--
184027183  by Zhichao Lu:

    Resnet V1 FPN based feature extractors for SSD meta architecture in Object Detection V2 API.

--
184004730  by Zhichao Lu:

    Expose a lever to override the configured mask_type.

--
183933113  by Zhichao Lu:

    Weight shared convolutional box predictor as described in https://arxiv.org/abs/1708.02002

--
183929669  by Zhichao Lu:

    Expanding box list operations for future data augmentations.

--
183916792  by Zhichao Lu:

    Fix unrecognized assertion function in tests.

--
183906851  by Zhichao Lu:

    - Change ssd meta architecture to use regression weights to compute loss normalizer.

--
183871003  by Zhichao Lu:

    Fix config_util_test wrong dependency.

--
183782120  by Zhichao Lu:

    Add __init__ file to third_party directories.

--
183779109  by Zhichao Lu:

    Setup regular version sync.

--
183768772  by Zhichao Lu:

    Make test compatible with numpy 1.12 and higher

--
183767893  by Zhichao Lu:

    Make test compatible with numpy 1.12 and higher

--
183719318  by Zhichao Lu:

    Use the new test interface in ssd feature extractor.

--
183714671  by Zhichao Lu:

    Use the new test_case interface for all anchor generators.

--
183708155  by Zhichao Lu:

    Change variable scopes in ConvolutionalBoxPredictor such that previously trained checkpoints are still compatible after the change in BoxPredictor interface

--
183705798  by Zhichao Lu:

    Internal change.

--
183636023  by Zhichao Lu:

    Fixing argument name for np_box_list_ops.concatenate() function.

--
183490404  by Zhichao Lu:

    Make sure code that relies in SSD older code still works.

--
183426762  by Zhichao Lu:

    Internal change

183412315  by Zhichao Lu:

    Internal change

183337814  by Zhichao Lu:

    Internal change

183303933  by Zhichao Lu:

    Internal change

183257349  by Zhichao Lu:

    Internal change

183254447  by Zhichao Lu:

    Internal change

183251200  by Zhichao Lu:

    Internal change

183135002  by Zhichao Lu:

    Internal change

182851500  by Zhichao Lu:

    Internal change

182839607  by Zhichao Lu:

    Internal change

182830719  by Zhichao Lu:

    Internal change

182533923  by Zhichao Lu:

    Internal change

182391090  by Zhichao Lu:

    Internal change

182262339  by Zhichao Lu:

    Internal change

182244645  by Zhichao Lu:

    Internal change

182241613  by Zhichao Lu:

    Internal change

182133027  by Zhichao Lu:

    Internal change

182058807  by Zhichao Lu:

    Internal change

181812028  by Zhichao Lu:

    Internal change

181788857  by Zhichao Lu:

    Internal change

181656761  by Zhichao Lu:

    Internal change

181541125  by Zhichao Lu:

    Internal change

181538702  by Zhichao Lu:

    Internal change

181125385  by Zhichao Lu:

    Internal change

180957758  by Zhichao Lu:

    Internal change

180941434  by Zhichao Lu:

    Internal change

180852569  by Zhichao Lu:

    Internal change

180846001  by Zhichao Lu:

    Internal change

180832145  by Zhichao Lu:

    Internal change

180740495  by Zhichao Lu:

    Internal change

180729150  by Zhichao Lu:

    Internal change

180589008  by Zhichao Lu:

    Internal change

180585408  by Zhichao Lu:

    Internal change

180581039  by Zhichao Lu:

    Internal change

180286388  by Zhichao Lu:

    Internal change

179934081  by Zhichao Lu:

    Internal change

179841242  by Zhichao Lu:

    Internal change

179831694  by Zhichao Lu:

    Internal change

179761005  by Zhichao Lu:

    Internal change

179610632  by Zhichao Lu:

    Internal change

179605363  by Zhichao Lu:

    Internal change

179603774  by Zhichao Lu:

    Internal change

179598614  by Zhichao Lu:

    Internal change

179597809  by Zhichao Lu:

    Internal change

179494630  by Zhichao Lu:

    Internal change

179367492  by Zhichao Lu:

    Internal change

179250050  by Zhichao Lu:

    Internal change

179247385  by Zhichao Lu:

    Internal change

179207897  by Zhichao Lu:

    Internal change

179076230  by Zhichao Lu:

    Internal change

178862066  by Zhichao Lu:

    Internal change

178854216  by Zhichao Lu:

    Internal change

178853109  by Zhichao Lu:

    Internal change

178709753  by Zhichao Lu:

    Internal change

178640707  by Zhichao Lu:

    Internal change

178421534  by Zhichao Lu:

    Internal change

178287174  by Zhichao Lu:

    Internal change

178257399  by Zhichao Lu:

    Internal change

177681867  by Zhichao Lu:

    Internal change

177654820  by Zhichao Lu:

    Internal change

177654052  by Zhichao Lu:

    Internal change

177638787  by Zhichao Lu:

    Internal change

177598305  by Zhichao Lu:

    Internal change

177538488  by Zhichao Lu:

    Internal change

177474197  by Zhichao Lu:

    Internal change

177271928  by Zhichao Lu:

    Internal change

177250285  by Zhichao Lu:

    Internal change

177210762  by Zhichao Lu:

    Internal change

177197135  by Zhichao Lu:

    Internal change

177037781  by Zhichao Lu:

    Internal change

176917394  by Zhichao Lu:

    Internal change

176683171  by Zhichao Lu:

    Internal change

176450793  by Zhichao Lu:

    Internal change

176388133  by Zhichao Lu:

    Internal change

176197721  by Zhichao Lu:

    Internal change

176195315  by Zhichao Lu:

    Internal change

176128748  by Zhichao Lu:

    Internal change

175743440  by Zhichao Lu:

    Use Toggle instead of bool to make the layout optimizer name and usage consistent with other optimizers.

--
175578178  by Zhichao Lu:

    Internal change

175463518  by Zhichao Lu:

    Internal change

175316616  by Zhichao Lu:

    Internal change

175302470  by Zhichao Lu:

    Internal change

175300323  by Zhichao Lu:

    Internal change

175269680  by Zhichao Lu:

    Internal change

175260574  by Zhichao Lu:

    Internal change

175122281  by Zhichao Lu:

    Internal change

175111708  by Zhichao Lu:

    Internal change

175110183  by Zhichao Lu:

    Internal change

174877166  by Zhichao Lu:

    Internal change

174868399  by Zhichao Lu:

    Internal change

174754200  by Zhichao Lu:

    Internal change

174544534  by Zhichao Lu:

    Internal change

174536143  by Zhichao Lu:

    Internal change

174513795  by Zhichao Lu:

    Internal change

174463713  by Zhichao Lu:

    Internal change

174403525  by Zhichao Lu:

    Internal change

174385170  by Zhichao Lu:

    Internal change

174358498  by Zhichao Lu:

    Internal change

174249903  by Zhichao Lu:

    Fix nasnet image classification and object detection by moving the option to turn ON or OFF batch norm training into it's own arg_scope used only by detection

--
174216508  by Zhichao Lu:

    Internal change

174065370  by Zhichao Lu:

    Internal change

174048035  by Zhichao Lu:

    Fix the pointer for downloading the NAS Faster-RCNN model.

--
174042677  by Zhichao Lu:

    Internal change

173964116  by Zhichao Lu:

    Internal change

173790182  by Zhichao Lu:

    Internal change

173779919  by Zhichao Lu:

    Internal change

173753775  by Zhichao Lu:

    Internal change

173753160  by Zhichao Lu:

    Internal change

173737519  by Zhichao Lu:

    Internal change

173696066  by Zhichao Lu:

    Internal change

173611554  by Zhichao Lu:

    Internal change

173475124  by Zhichao Lu:

    Internal change

173412497  by Zhichao Lu:

    Internal change

173404010  by Zhichao Lu:

    Internal change

173375014  by Zhichao Lu:

    Internal change

173345107  by Zhichao Lu:

    Internal change

173298413  by Zhichao Lu:

    Internal change

173289754  by Zhichao Lu:

    Internal change

173275544  by Zhichao Lu:

    Internal change

173273275  by Zhichao Lu:

    Internal change

173271885  by Zhichao Lu:

    Internal change

173264856  by Zhichao Lu:

    Internal change

173263791  by Zhichao Lu:

    Internal change

173261215  by Zhichao Lu:

    Internal change

173175740  by Zhichao Lu:

    Internal change

173010193  by Zhichao Lu:

    Internal change

172815204  by Zhichao Lu:

    Allow for label maps in tf.Example decoding.

--
172696028  by Zhichao Lu:

    Internal change

172509113  by Zhichao Lu:

    Allow for label maps in tf.Example decoding.

--
172475999  by Zhichao Lu:

    Internal change

172166621  by Zhichao Lu:

    Internal change

172151758  by Zhichao Lu:

    Minor updates to some README files.

    As a result of these friendly issues:
    https://github.com/tensorflow/models/issues/2530
    https://github.com/tensorflow/models/issues/2534

--
172147420  by Zhichao Lu:

    Fix illegal summary name and move from slim's get_or_create_global_step deprecated use of tf.contrib.framework* to tf.train*.

--
172111377  by Zhichao Lu:

    Internal change

172004247  by Zhichao Lu:

    Internal change

171996881  by Zhichao Lu:

    Internal change

171835204  by Zhichao Lu:

    Internal change

171826090  by Zhichao Lu:

    Internal change

171784016  by Zhichao Lu:

    Internal change

171699876  by Zhichao Lu:

    Internal change

171053425  by Zhichao Lu:

    Internal change

170905734  by Zhichao Lu:

    Internal change

170889179  by Zhichao Lu:

    Internal change

170734389  by Zhichao Lu:

    Internal change

170705852  by Zhichao Lu:

    Internal change

170401574  by Zhichao Lu:

    Internal change

170352571  by Zhichao Lu:

    Internal change

170215443  by Zhichao Lu:

    Internal change

170184288  by Zhichao Lu:

    Internal change

169936898  by Zhichao Lu:

    Internal change

169763373  by Zhichao Lu:

    Fix broken GitHub links in tensorflow and tensorflow_models resulting from The Great Models Move (a.k.a. the research subfolder)

--
169744825  by Zhichao Lu:

    Internal change

169638135  by Zhichao Lu:

    Internal change

169561814  by Zhichao Lu:

    Internal change

169444091  by Zhichao Lu:

    Internal change

169292330  by Zhichao Lu:

    Internal change

169145185  by Zhichao Lu:

    Internal change

168906035  by Zhichao Lu:

    Internal change

168790411  by Zhichao Lu:

    Internal change

168708911  by Zhichao Lu:

    Internal change

168611969  by Zhichao Lu:

    Internal change

168535975  by Zhichao Lu:

    Internal change

168381815  by Zhichao Lu:

    Internal change

168244740  by Zhichao Lu:

    Internal change

168240024  by Zhichao Lu:

    Internal change

168168016  by Zhichao Lu:

    Internal change

168071571  by Zhichao Lu:

    Move display strings to below the bounding box if they would otherwise be outside the image.

--
168067771  by Zhichao Lu:

    Internal change

167970950  by Zhichao Lu:

    Internal change

167884533  by Zhichao Lu:

    Internal change

167626173  by Zhichao Lu:

    Internal change

167277422  by Zhichao Lu:

    Internal change

167249393  by Zhichao Lu:

    Internal change

167248954  by Zhichao Lu:

    Internal change

167189395  by Zhichao Lu:

    Internal change

167107797  by Zhichao Lu:

    Internal change

167061250  by Zhichao Lu:

    Internal change

166871147  by Zhichao Lu:

    Internal change

166867617  by Zhichao Lu:

    Internal change

166862112  by Zhichao Lu:

    Internal change

166715648  by Zhichao Lu:

    Internal change

166635615  by Zhichao Lu:

    Internal change

166383182  by Zhichao Lu:

    Internal change

166371326  by Zhichao Lu:

    Internal change

166254711  by Zhichao Lu:

    Internal change

166106294  by Zhichao Lu:

    Internal change

166081204  by Zhichao Lu:

    Internal change

165972262  by Zhichao Lu:

    Internal change

165816702  by Zhichao Lu:

    Internal change

165764471  by Zhichao Lu:

    Internal change

165724134  by Zhichao Lu:

    Internal change

165655829  by Zhichao Lu:

    Internal change

165587904  by Zhichao Lu:

    Internal change

165534540  by Zhichao Lu:

    Internal change

165177692  by Zhichao Lu:

    Internal change

165091822  by Zhichao Lu:

    Internal change

165019730  by Zhichao Lu:

    Internal change

165002942  by Zhichao Lu:

    Internal change

164897728  by Zhichao Lu:

    Internal change

164782618  by Zhichao Lu:

    Internal change

164710379  by Zhichao Lu:

    Internal change

164639237  by Zhichao Lu:

    Internal change

164069251  by Zhichao Lu:

    Internal change

164058169  by Zhichao Lu:

    Internal change

163913796  by Zhichao Lu:

    Internal change

163756696  by Zhichao Lu:

    Internal change

163524665  by Zhichao Lu:

    Internal change

163393399  by Zhichao Lu:

    Internal change

163385733  by Zhichao Lu:

    Internal change

162525065  by Zhichao Lu:

    Internal change

162376984  by Zhichao Lu:

    Internal change

162026661  by Zhichao Lu:

    Internal change

161956004  by Zhichao Lu:

    Internal change

161817520  by Zhichao Lu:

    Internal change

161718688  by Zhichao Lu:

    Internal change

161624398  by Zhichao Lu:

    Internal change

161575120  by Zhichao Lu:

    Internal change

161483997  by Zhichao Lu:

    Internal change

161462189  by Zhichao Lu:

    Internal change

161452968  by Zhichao Lu:

    Internal change

161443992  by Zhichao Lu:

    Internal change

161408607  by Zhichao Lu:

    Internal change

161262084  by Zhichao Lu:

    Internal change

161214023  by Zhichao Lu:

    Internal change

161025667  by Zhichao Lu:

    Internal change

160982216  by Zhichao Lu:

    Internal change

160666760  by Zhichao Lu:

    Internal change

160570489  by Zhichao Lu:

    Internal change

160553112  by Zhichao Lu:

    Internal change

160458261  by Zhichao Lu:

    Internal change

160349302  by Zhichao Lu:

    Internal change

160296092  by Zhichao Lu:

    Internal change

160287348  by Zhichao Lu:

    Internal change

160199279  by Zhichao Lu:

    Internal change

160160156  by Zhichao Lu:

    Internal change

160151954  by Zhichao Lu:

    Internal change

160005404  by Zhichao Lu:

    Internal change

159983265  by Zhichao Lu:

    Internal change

159819896  by Zhichao Lu:

    Internal change

159749419  by Zhichao Lu:

    Internal change

159596448  by Zhichao Lu:

    Internal change

159587801  by Zhichao Lu:

    Internal change

159587342  by Zhichao Lu:

    Internal change

159476256  by Zhichao Lu:

    Internal change

159463992  by Zhichao Lu:

    Internal change

159455585  by Zhichao Lu:

    Internal change

159270798  by Zhichao Lu:

    Internal change

159256633  by Zhichao Lu:

    Internal change

159141989  by Zhichao Lu:

    Internal change

159079098  by Zhichao Lu:

    Internal change

159078559  by Zhichao Lu:

    Internal change

159077055  by Zhichao Lu:

    Internal change

159072046  by Zhichao Lu:

    Internal change

159071092  by Zhichao Lu:

    Internal change

159069262  by Zhichao Lu:

    Internal change

159037430  by Zhichao Lu:

    Internal change

159035747  by Zhichao Lu:

    Internal change

159023868  by Zhichao Lu:

    Internal change

158939092  by Zhichao Lu:

    Internal change

158912561  by Zhichao Lu:

    Internal change

158903825  by Zhichao Lu:

    Internal change

158894348  by Zhichao Lu:

    Internal change

158884934  by Zhichao Lu:

    Internal change

158878010  by Zhichao Lu:

    Internal change

158874620  by Zhichao Lu:

    Internal change

158869501  by Zhichao Lu:

    Internal change

158842623  by Zhichao Lu:

    Internal change

158801298  by Zhichao Lu:

    Internal change

158775487  by Zhichao Lu:

    Internal change

158773668  by Zhichao Lu:

    Internal change

158771394  by Zhichao Lu:

    Internal change

158668928  by Zhichao Lu:

    Internal change

158596865  by Zhichao Lu:

    Internal change

158587317  by Zhichao Lu:

    Internal change

158586348  by Zhichao Lu:

    Internal change

158585707  by Zhichao Lu:

    Internal change

158577134  by Zhichao Lu:

    Internal change

158459749  by Zhichao Lu:

    Internal change

158459678  by Zhichao Lu:

    Internal change

158328972  by Zhichao Lu:

    Internal change

158324255  by Zhichao Lu:

    Internal change

158319576  by Zhichao Lu:

    Internal change

158290802  by Zhichao Lu:

    Internal change

158273041  by Zhichao Lu:

    Internal change

158240477  by Zhichao Lu:

    Internal change

158204316  by Zhichao Lu:

    Internal change

158154161  by Zhichao Lu:

    Internal change

158077203  by Zhichao Lu:

    Internal change

158041397  by Zhichao Lu:

    Internal change

158029233  by Zhichao Lu:

    Internal change

157976306  by Zhichao Lu:

    Internal change

157966896  by Zhichao Lu:

    Internal change

157945642  by Zhichao Lu:

    Internal change

157943135  by Zhichao Lu:

    Internal change

157942158  by Zhichao Lu:

    Internal change

157897866  by Zhichao Lu:

    Internal change

157866667  by Zhichao Lu:

    Internal change

157845915  by Zhichao Lu:

    Internal change

157842592  by Zhichao Lu:

    Internal change

157832761  by Zhichao Lu:

    Internal change

157824451  by Zhichao Lu:

    Internal change

157816531  by Zhichao Lu:

    Internal change

157782130  by Zhichao Lu:

    Internal change

157733752  by Zhichao Lu:

    Internal change

157654577  by Zhichao Lu:

    Internal change

157639285  by Zhichao Lu:

    Internal change

157530694  by Zhichao Lu:

    Internal change

157518469  by Zhichao Lu:

    Internal change

157514626  by Zhichao Lu:

    Internal change

157481413  by Zhichao Lu:

    Internal change

157267863  by Zhichao Lu:

    Internal change

157263616  by Zhichao Lu:

    Internal change

157234554  by Zhichao Lu:

    Internal change

157174595  by Zhichao Lu:

    Internal change

157169681  by Zhichao Lu:

    Internal change

157156425  by Zhichao Lu:

    Internal change

157024436  by Zhichao Lu:

    Internal change

157016195  by Zhichao Lu:

    Internal change

156941658  by Zhichao Lu:

    Internal change

156880859  by Zhichao Lu:

    Internal change

156790636  by Zhichao Lu:

    Internal change

156565969  by Zhichao Lu:

    Internal change

156522345  by Zhichao Lu:

    Internal change

156518570  by Zhichao Lu:

    Internal change

156509878  by Zhichao Lu:

    Internal change

156509134  by Zhichao Lu:

    Internal change

156472497  by Zhichao Lu:

    Internal change

156471429  by Zhichao Lu:

    Internal change

156470865  by Zhichao Lu:

    Internal change

156461563  by Zhichao Lu:

    Internal change

156437521  by Zhichao Lu:

    Internal change

156334994  by Zhichao Lu:

    Internal change

156319604  by Zhichao Lu:

    Internal change

156234305  by Zhichao Lu:

    Internal change

156226207  by Zhichao Lu:

    Internal change

156215347  by Zhichao Lu:

    Internal change

156127227  by Zhichao Lu:

    Internal change

156120405  by Zhichao Lu:

    Internal change

156113752  by Zhichao Lu:

    Internal change

156098936  by Zhichao Lu:

    Internal change

155924066  by Zhichao Lu:

    Internal change

155883241  by Zhichao Lu:

    Internal change

155806887  by Zhichao Lu:

    Internal change

155641849  by Zhichao Lu:

    Internal change

155593034  by Zhichao Lu:

    Internal change

155570702  by Zhichao Lu:

    Internal change

155515306  by Zhichao Lu:

    Internal change

155514787  by Zhichao Lu:

    Internal change

155445237  by Zhichao Lu:

    Internal change

155438672  by Zhichao Lu:

    Internal change

155264448  by Zhichao Lu:

    Internal change

155222148  by Zhichao Lu:

    Internal change

155106590  by Zhichao Lu:

    Internal change

155090562  by Zhichao Lu:

    Internal change

154973775  by Zhichao Lu:

    Internal change

154972880  by Zhichao Lu:

    Internal change

154871596  by Zhichao Lu:

    Internal change

154835007  by Zhichao Lu:

    Internal change

154788175  by Zhichao Lu:

    Internal change

154731169  by Zhichao Lu:

    Internal change

154721261  by Zhichao Lu:

    Internal change

154594626  by Zhichao Lu:

    Internal change

154588305  by Zhichao Lu:

    Internal change

154578994  by Zhichao Lu:

    Internal change

154571515  by Zhichao Lu:

    Internal change

154552873  by Zhichao Lu:

    Internal change

154549672  by Zhichao Lu:

    Internal change

154463631  by Zhichao Lu:

    Internal change

154437690  by Zhichao Lu:

    Internal change

154412359  by Zhichao Lu:

    Internal change

154374026  by Zhichao Lu:

    Internal change

154361648  by Zhichao Lu:

    Internal change

154310164  by Zhichao Lu:

    Internal change

154220862  by Zhichao Lu:

    Internal change

154187281  by Zhichao Lu:

    Internal change

154186651  by Zhichao Lu:

    Internal change

154119783  by Zhichao Lu:

    Internal change

154114285  by Zhichao Lu:

    Internal change

154095717  by Zhichao Lu:

    Internal change

154057972  by Zhichao Lu:

    Internal change

154055285  by Zhichao Lu:

    Internal change

153659288  by Zhichao Lu:

    Internal change

153637797  by Zhichao Lu:

    Internal change

153561771  by Zhichao Lu:

    Internal change

153540765  by Zhichao Lu:

    Internal change

153496128  by Zhichao Lu:

    Internal change

153473323  by Zhichao Lu:

    Internal change

153368812  by Zhichao Lu:

    Internal change

153367292  by Zhichao Lu:

    Internal change

153201890  by Zhichao Lu:

    Internal change

153074177  by Zhichao Lu:

    Internal change

152980017  by Zhichao Lu:

    Internal change

152978434  by Zhichao Lu:

    Internal change

152951821  by Zhichao Lu:

    Internal change

152904076  by Zhichao Lu:

    Internal change

152883703  by Zhichao Lu:

    Internal change

152869747  by Zhichao Lu:

    Internal change

152827463  by Zhichao Lu:

    Internal change

152756886  by Zhichao Lu:

    Internal change

152752840  by Zhichao Lu:

    Internal change

152736347  by Zhichao Lu:

    Internal change

152728184  by Zhichao Lu:

    Internal change

152720120  by Zhichao Lu:

    Internal change

152710964  by Zhichao Lu:

    Internal change

152706735  by Zhichao Lu:

    Internal change

152681133  by Zhichao Lu:

    Internal change

152517758  by Zhichao Lu:

    Internal change

152516381  by Zhichao Lu:

    Internal change

152511258  by Zhichao Lu:

    Internal change

152319164  by Zhichao Lu:

    Internal change

152316404  by Zhichao Lu:

    Internal change

152309261  by Zhichao Lu:

    Internal change

152308007  by Zhichao Lu:

    Internal change

152296551  by Zhichao Lu:

    Internal change

152188069  by Zhichao Lu:

    Internal change

152158644  by Zhichao Lu:

    Internal change

152153578  by Zhichao Lu:

    Internal change

152152285  by Zhichao Lu:

    Internal change

152055035  by Zhichao Lu:

    Internal change

152036778  by Zhichao Lu:

    Internal change

152020728  by Zhichao Lu:

    Internal change

152014842  by Zhichao Lu:

    Internal change

151848225  by Zhichao Lu:

    Internal change

151741308  by Zhichao Lu:

    Internal change

151740499  by Zhichao Lu:

    Internal change

151736189  by Zhichao Lu:

    Internal change

151612892  by Zhichao Lu:

    Internal change

151599502  by Zhichao Lu:

    Internal change

151538547  by Zhichao Lu:

    Internal change

151496530  by Zhichao Lu:

    Internal change

151476070  by Zhichao Lu:

    Internal change

151448662  by Zhichao Lu:

    Internal change

151411627  by Zhichao Lu:

    Internal change

151397737  by Zhichao Lu:

    Internal change

151169523  by Zhichao Lu:

    Internal change

151148956  by Zhichao Lu:

    Internal change

150944227  by Zhichao Lu:

    Internal change

150276683  by Zhichao Lu:

    Internal change

149986687  by Zhichao Lu:

    Internal change

149218749  by Zhichao Lu:

    Internal change

PiperOrigin-RevId: 184048729

For details see our paper:
"Speed/accuracy trade-offs for modern convolutional object detectors."
Huang J, Rathod V, Sun C, Zhu M, Korattikara A, Fathi A, Fischer I,
Wojna Z, Song Y, Guadarrama S, Murphy K, CVPR 2017
https://arxiv.org/abs/1611.10012