Commits · e00e0e13670b918ef2fe8d5eee3c93e9815b4dae · ModelZoo / ResNet50_tensorflow

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02 Nov, 2018 1 commit

Minor fixes for object detection (#5613) · 31ae57eb

pkulzc authored Nov 02, 2018

* 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...

31ae57eb

01 Aug, 2018 1 commit

Refactor object detection box predictors and fix some issues with model_main. (#4965) · 02a9969e

pkulzc authored Aug 01, 2018

* 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.

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206803260 by Zhichao Lu:

Fixes a misplaced argument in resnet fpn feature extractor.

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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.

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206669634 by Zhichao Lu:

Adds an alternate method for balanced positive negative sampler using static shapes.

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206643278 by Zhichao Lu:

This CL adds a Keras layer hyperparameter configuration object to the hyperparams_builder.

It automatically converts from Slim layer hyperparameter configs to Keras layer hyperparameters. Namely, it:
- Builds Keras initializers/regularizers instead of Slim ones
- sets weights_regularizer/initializer to kernel_regularizer/initializer
- converts batchnorm decay to momentum
- converts Slim l2 regularizer weights to the equivalent Keras l2 weights

This will be used in the conversion of object detection feature extractors & box predictors to newer Tensorflow APIs.

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206611681 by Zhichao Lu:

Internal changes.

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206591619 by Zhichao Lu:

Clip the to shape when the input tensors are larger than the expected padded static shape

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206517644 by Zhichao Lu:

Make MultiscaleGridAnchorGenerator more consistent with MultipleGridAnchorGenerator.

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206415624 by Zhichao Lu:

Make the hardcoded feature pyramid network (FPN) levels configurable for both SSD
Resnet and SSD Mobilenet.

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206398204 by Zhichao Lu:

This CL modifies the SSD meta architecture to support both Slim-based and Keras-based feature extractors.

This allows us to begin the conversion of object detection to newer Tensorflow APIs.

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206213448 by Zhichao Lu:

Adding a method to compute the expected classification loss by background/foreground weighting.

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206204232 by Zhichao Lu:

Adding the keypoint head to the Mask RCNN pipeline.

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206200352 by Zhichao Lu:

- Create Faster R-CNN target assigner in the model builder. This allows configuring matchers in Target assigner to use TPU compatible ops (tf.gather in this case) without any change in meta architecture.
- As a +ve side effect of the refactoring, we can now re-use a single target assigner for all of second stage heads in Faster R-CNN.

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206178206 by Zhichao Lu:

Force ssd feature extractor builder to use keyword arguments so values won't be passed to wrong arguments.

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206168297 by Zhichao Lu:

Updating exporter to use freeze_graph.freeze_graph_with_def_protos rather than a homegrown version.

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206080748 by Zhichao Lu:

Merge external contributions.

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206074460 by Zhichao Lu:

Update to preprocessor to apply temperature and softmax to the multiclass scores on read.

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205960802 by Zhichao Lu:

Fixing a bug in hierarchical label expansion script.

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205944686 by Zhichao Lu:

Update exporter to support exporting quantized model.

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205912529 by Zhichao Lu:

Add a two stage matcher to allow for thresholding by one criteria and then argmaxing on the other.

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205909017 by Zhichao Lu:

Add test for grayscale image_resizer

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205892801 by Zhichao Lu:

Add flag to decide whether to apply batch norm to conv layers of weight shared box predictor.

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205824449 by Zhichao Lu:

make sure that by default mask rcnn box predictor predicts 2 stages.

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205730139 by Zhichao Lu:

Updating warning message to be more explicit about variable size mismatch.

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205696992 by Zhichao Lu:

Remove utils/ops.py's dependency on core/box_list_ops.py. This will allow re-using TPU compatible ops from utils/ops.py in core/box_list_ops.py.

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205696867 by Zhichao Lu:

Refactoring mask rcnn predictor so have each head in a separate file.
This CL lets us to add new heads more easily in the future to mask rcnn.

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205492073 by Zhichao Lu:

Refactor R-FCN box predictor to be TPU compliant.

- Change utils/ops.py:position_sensitive_crop_regions to operate on single image and set of boxes without `box_ind`
- Add a batch version that operations on batches of images and batches of boxes.
- Refactor R-FCN box predictor to use the batched version of position sensitive crop regions.

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205453567 by Zhichao Lu:

Fix bug that cannot export inference graph when write_inference_graph flag is True.

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205316039 by Zhichao Lu:

Changing input tensor name.

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205256307 by Zhichao Lu:

Fix model zoo links for quantized model.

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205164432 by Zhichao Lu:

Fixes eval error when label map contains non-ascii characters.

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205129842 by Zhichao Lu:

Adds a option to clip the anchors to the window size without filtering the overlapped boxes in Faster-RCNN

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205094863 by Zhichao Lu:

Update to label map util to allow the option of adding a background class and fill in gaps in the label map. Useful for using multiclass scores which require a complete label map with explicit background label.

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204989032 by Zhichao Lu:

Add tf.prof support to exporter.

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204825267 by Zhichao Lu:

Modify mask rcnn box predictor tests for TPU compatibility.

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204778749 by Zhichao Lu:

Remove score filtering from postprocessing.py and rely on filtering logic in tf.image.non_max_suppression

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204775818 by Zhichao Lu:

Python3 fixes for object_detection.

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204745920 by Zhichao Lu:

Object Detection Dataset visualization tool (documentation).

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204686993 by Zhichao Lu:

Internal changes.

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204559667 by Zhichao Lu:

Refactor box_predictor.py into multiple files.
The abstract base class remains in the object_detection/core, The other classes have moved to a separate file each in object_detection/predictors

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204552847 by Zhichao Lu:

Update blog post link.

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204508028 by Zhichao Lu:

Bump down the batch size to 1024 to be a bit more tolerant to OOM and double the number of iterations. This job still converges to 20.5 mAP in 3 hours.

PiperOrigin-RevId: 206852642

* Add original post-processing back.

02a9969e

08 Mar, 2018 1 commit

Modify the preprocessor proto and preprocessor_builder to match the arguments... · 307f1f77

Zhichao Lu authored Mar 05, 2018

Modify the preprocessor proto and preprocessor_builder to match the arguments of the ssd_random_crop_pad_fixed_aspect_ratio preprocessor method.

PiperOrigin-RevId: 187877915

307f1f77

10 Feb, 2018 1 commit

Merged commit includes the following changes: · 1efe98bb

Zhichao Lu authored Feb 09, 2018

185215255  by Zhichao Lu:

    Stop populating image/object/class/text field when generating COCO tf record.

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185213306  by Zhichao Lu:

    Use the params batch size and not the one from train_config in input_fn

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185209081  by Zhichao Lu:

    Handle the case when there are no ground-truth masks for an image.

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185195531  by Zhichao Lu:

    Remove unstack and stack operations on features from third_party/object_detection/model.py.

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185195017  by Zhichao Lu:

    Matrix multiplication based gather op implementation.

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185187744  by Zhichao Lu:

    Fix eval_util minor issue.

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185098733  by Zhichao Lu:

    Internal change

185076656  by Zhichao Lu:

    Increment the amount of boxes for coco17.

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185074199  by Zhichao Lu:

    Add config for SSD Resnet50 v1 with FPN.

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185060199  by Zhichao Lu:

    Fix a bug in clear_detections.
    This method set detection_keys to an empty dictionary instead of an empty set. I've refactored so that this method and the constructor use the same code path.

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185031359  by Zhichao Lu:

    Eval TPU trained models continuously.

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185016591  by Zhichao Lu:

    Use TPUEstimatorSpec for TPU

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185013651  by Zhichao Lu:

    Add PreprocessorCache to record and duplicate augmentations.

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184921763  by Zhichao Lu:

    Minor fixes for object detection.

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184920610  by Zhichao Lu:

    Adds a model builder test for "embedded_ssd_mobilenet_v1" feature extractor.

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184919284  by Zhichao Lu:

    Added unit tests for TPU, with optional training / eval.

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184915910  by Zhichao Lu:

    Update third_party g3 doc with Mask RCNN detection models.

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184914085  by Zhichao Lu:

    Slight change to WeightSharedConvolutionalBoxPredictor implementation to make things match more closely with RetinaNet.  Specifically we now construct the box encoding and class predictor towers separately rather than having them share weights until penultimate layer.

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184913786  by Zhichao Lu:

    Plumbs SSD Resnet V1 with FPN models into model builder.

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184910030  by Zhichao Lu:

    Add coco metrics to evaluator.

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184897758  by Zhichao Lu:

    Merge changes from github.

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184888736  by Zhichao Lu:

    Ensure groundtruth_weights are always 1-D.

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184887256  by Zhichao Lu:

    Introduce an option to add summaries in the model so it can be turned off when necessary.

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184865559  by Zhichao Lu:

    Updating inputs so that a dictionary of tensors is returned from input_fn. Moving unbatch/unpad to model.py.
    Also removing source_id key from features dictionary, and replacing with an integer hash.

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184859205  by Zhichao Lu:

    This CL is trying to hide those differences by making the default settings work with the public code.

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184769779  by Zhichao Lu:

    Pass groundtruth weights into ssd meta architecture all the way to target assigner.

    This will allow training ssd models with padded groundtruth tensors.

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184767117  by Zhichao Lu:

    * Add `params` arg to make all input fns work with TPUEstimator
    * Add --master
    * Output eval results

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184766244  by Zhichao Lu:

    Update create_coco_tf_record to include category indices

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184752937  by Zhichao Lu:

    Create a third_party version of TPU compatible mobilenet_v2_focal_loss coco config.

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184750174  by Zhichao Lu:

    A few small fixes for multiscale anchor generator and a test.

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184746581  by Zhichao Lu:

    Update jupyter notebook to show mask if provided by model.

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184728646  by Zhichao Lu:

    Adding a few more tests to make sure decoding with/without label maps performs as expected.

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184624154  by Zhichao Lu:

    Add an object detection binary for TPU.

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184622118  by Zhichao Lu:

    Batch, transform, and unbatch in the tflearn interface.

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184595064  by Zhichao Lu:

    Add support for training grayscale models.

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184532026  by Zhichao Lu:

    Change dataset_builder.build to perform optional batching using tf.data.Dataset API

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184330239  by Zhichao Lu:

    Add augment_input_data and transform_input_data helper functions to third_party/tensorflow_models/object_detection/inputs.py

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184328681  by Zhichao Lu:

    Use an internal rgb to gray method that can be quantized.

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184327909  by Zhichao Lu:

    Helper function to return padding shapes to use with Dataset.padded_batch.

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184326291  by Zhichao Lu:

    Added decode_func for specialized decoding.

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184314676  by Zhichao Lu:

    Add unstack_batch method to inputs.py.

    This will enable us to convert batched tensors to lists of tensors. This is compatible with OD API that consumes groundtruth batch as a list of tensors.

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184281269  by Zhichao Lu:

    Internal test target changes.

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184192851  by Zhichao Lu:

    Adding `Estimator` interface for object detection.

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184187885  by Zhichao Lu:

    Add config_util functions to help with input pipeline.

    1. function to return expected shapes from the resizer config
    2. function to extract image_resizer_config from model_config.

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184139892  by Zhichao Lu:

    Adding support for depthwise SSD (ssd-lite) and depthwise box predictions.

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184089891  by Zhichao Lu:

    Fix third_party faster rcnn resnet101 coco config.

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184083378  by Zhichao Lu:

    In the case when there is no object/weights field in tf.Example proto, return a default weight of 1.0 for all boxes.

--

PiperOrigin-RevId: 185215255

1efe98bb

01 Feb, 2018 1 commit

Merged commit includes the following changes: · 7a9934df

Zhichao Lu authored Jan 31, 2018

184048729  by Zhichao Lu:

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

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184027183  by Zhichao Lu:

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

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184004730  by Zhichao Lu:

    Expose a lever to override the configured mask_type.

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183933113  by Zhichao Lu:

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

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183929669  by Zhichao Lu:

    Expanding box list operations for future data augmentations.

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183916792  by Zhichao Lu:

    Fix unrecognized assertion function in tests.

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183906851  by Zhichao Lu:

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

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183871003  by Zhichao Lu:

    Fix config_util_test wrong dependency.

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183782120  by Zhichao Lu:

    Add __init__ file to third_party directories.

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183779109  by Zhichao Lu:

    Setup regular version sync.

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183768772  by Zhichao Lu:

    Make test compatible with numpy 1.12 and higher

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183767893  by Zhichao Lu:

    Make test compatible with numpy 1.12 and higher

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183719318  by Zhichao Lu:

    Use the new test interface in ssd feature extractor.

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183714671  by Zhichao Lu:

    Use the new test_case interface for all anchor generators.

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183708155  by Zhichao Lu:

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

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183705798  by Zhichao Lu:

    Internal change.

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183636023  by Zhichao Lu:

    Fixing argument name for np_box_list_ops.concatenate() function.

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183490404  by Zhichao Lu:

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

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175743440  by Zhichao Lu:

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

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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

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174048035  by Zhichao Lu:

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

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    Allow for label maps in tf.Example decoding.

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172509113  by Zhichao Lu:

    Allow for label maps in tf.Example decoding.

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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

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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*.

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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)

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

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PiperOrigin-RevId: 184048729

7a9934df

27 Oct, 2017 1 commit
- update protos. · 9adf0242
  Vivek Rathod authored Oct 27, 2017
  
  9adf0242
21 Sep, 2017 1 commit
- Move the research models into a research subfolder (#2430) · f87a58cd
  Neal Wu authored Sep 21, 2017
  
  f87a58cd
15 Jun, 2017 1 commit

Add Tensorflow Object Detection API. (#1561) · a4944a57

derekjchow authored Jun 14, 2017

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

a4944a57