Commits · 09bc9f54fb7084b7908447572938b2e203d7c232 · ModelZoo / ResNet50_tensorflow

11 Sep, 2018 1 commit
- adding implementation of https://arxiv.org/abs/1805.06066 (#5265) · e6ce8cdd
  Arsalan Mousavian authored Sep 11, 2018
```
* adding implementation of https://arxiv.org/abs/1805.06066

* fixing typos and sentences in README
```
  e6ce8cdd
06 Jun, 2018 1 commit

Merged commit includes the following changes: · 9fce9c64

Zhichao Lu authored Jun 05, 2018

199348852 by Zhichao Lu:

Small typos fixes in VRD evaluation.

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199315191 by Zhichao Lu:

Change padding shapes when additional channels are available.

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199309180 by Zhichao Lu:

Adds minor fixes to the Object Detection API implementation.

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199298605 by Zhichao Lu:

Force num_readers to be 1 when only input file is not sharded.

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199292952 by Zhichao Lu:

Adds image-level labels parsing into TfExampleDetectionAndGTParser.

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199259866 by Zhichao Lu:

Visual Relationships Evaluation executable.

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199208330 by Zhichao Lu:

Infer train_config.batch_size as the effective batch size. Therefore we need to divide the effective batch size in trainer by train_config.replica_to_aggregate to get per worker batch size.

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199207842 by Zhichao Lu:

Internal change.

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199204222 by Zhichao Lu:

In case the image has more than three channels, we only take the first three channels for visualization.

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199194388 by Zhichao Lu:

Correcting protocols description: VOC 2007 -> VOC 2012.

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199188290 by Zhichao Lu:

Adds per-relationship APs and mAP computation to VRD evaluation.

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199158801 by Zhichao Lu:

If available, additional channels are merged with input image.

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199099637 by Zhichao Lu:

OpenImages Challenge metric support:
-adding verified labels standard field for TFExample;
-adding tfrecord creation functionality.

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198957391 by Zhichao Lu:

Allow tf record sharding when creating pets dataset.

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198925184 by Zhichao Lu:

Introduce moving average support for evaluation. Also adding the ability to override this configuration via config_util.

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198918186 by Zhichao Lu:

Handles the case where there are 0 box masks.

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198809009 by Zhichao Lu:

Plumb groundtruth weights into target assigner for Faster RCNN.

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198759987 by Zhichao Lu:

Fix object detection test broken by shape inference.

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198668602 by Zhichao Lu:

Adding a new input field in data_decoders/tf_example_decoder.py for storing additional channels.

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198530013 by Zhichao Lu:

An util for hierarchical expandion of boxes and labels of OID dataset.

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198503124 by Zhichao Lu:

Fix dimension mismatch error introduced by
https://github.com/tensorflow/tensorflow/pull/18251, or cl/194031845.
After above change, conv2d strictly checks for conv_dims + 2 == input_rank.

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198445807 by Zhichao Lu:

Enabling Object Detection Challenge 2018 metric in evaluator.py framework for
running eval job.
Renaming old OpenImages V2 metric.

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198413950 by Zhichao Lu:

Support generic configuration override using namespaced keys

Useful for adding custom hyper-parameter tuning fields without having to add custom override methods to config_utils.py.

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198106437 by Zhichao Lu:

Enable fused batchnorm now that quantization is supported.

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198048364 by Zhichao Lu:

Add support for keypoints in tf sequence examples and some util ops.

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198004736 by Zhichao Lu:

Relax postprocessing unit tests that are based on assumption that tf.image.non_max_suppression are stable with respect to input.

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197997513 by Zhichao Lu:

More lenient validation for normalized box boundaries.

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197940068 by Zhichao Lu:

A couple of minor updates/fixes:
- Updating input reader proto with option to use display_name when decoding data.
- Updating visualization tool to specify whether using absolute or normalized box coordinates. Appropriate boxes will now appear in TB when using model_main.py

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197920152 by Zhichao Lu:

Add quantized training support in the new OD binaries and a config for SSD Mobilenet v1 quantized training that is TPU compatible.

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197213563 by Zhichao Lu:

Do not share batch_norm for classification and regression tower in weight shared box predictor.

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197196757 by Zhichao Lu:

Relax the box_predictor api to return box_prediction of shape [batch_size, num_anchors, code_size] in addition to [batch_size, num_anchors, (1|q), code_size].

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196898361 by Zhichao Lu:

Allow per-channel scalar value to pad input image with when using keep aspect ratio resizer (when pad_to_max_dimension=True).

In Object Detection Pipeline, we pad image before normalization and this skews batch_norm statistics during training. The option to set per channel pad value lets us truly pad with zeros.

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196592101 by Zhichao Lu:

Fix bug regarding tfrecord shuffling in object_detection

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196320138 by Zhichao Lu:

Fix typo in exporting_models.md

PiperOrigin-RevId: 199348852

9fce9c64

01 May, 2018 1 commit

Internal changes to slim and object detection (#4100) · 505f554c

pkulzc authored May 01, 2018

* Adding option for one_box_for_all_classes to the box_predictor

PiperOrigin-RevId: 192813444

* Extend to accept different ratios of conv channels.

PiperOrigin-RevId: 192837477

* Remove inaccurate caveat from proto file.

PiperOrigin-RevId: 192850747

* Add option to set dropout for classification net in weight shared box predictor.

PiperOrigin-RevId: 192922089

* fix flakiness in testSSDRandomCropWithMultiClassScores due to randomness.

PiperOrigin-RevId: 193067658

* Post-process now works again in train mode.

PiperOrigin-RevId: 193087707

* Adding support for reading in logits as groundtruth labels and applying an optional temperature (scaling) before softmax in support of distillation.

PiperOrigin-RevId: 193119411

* Add a util function to visualize value histogram as a tf.summary.image.

PiperOrigin-RevId: 193137342

* Do not add batch norm parameters to final conv2d ops that predict boxes encodings and class scores in weight shared conv box predictor.

This allows us to set proper bias and force initial predictions to be background when using focal loss.

PiperOrigin-RevId: 193204364

* Make sure the final layers are also resized proportional to conv_depth_ratio.

PiperOrigin-RevId: 193228972

* Remove deprecated batch_norm_trainable field from ssd mobilenet v2 config

PiperOrigin-RevId: 193244778

* Updating coco evaluation metrics to allow for a batch of image info, rather than a single image.

PiperOrigin-RevId: 193382651

* Update protobuf requirements to 3+ in installation docs.

PiperOrigin-RevId: 193409179

* Add support for training keypoints.

PiperOrigin-RevId: 193576336

* Fix data augmentation functions.

PiperOrigin-RevId: 193737238

* Read the default batch size from config file.

PiperOrigin-RevId: 193959861

* Fixing a bug in the coco evaluator.

PiperOrigin-RevId: 193974479

* num_gt_boxes_per_image and num_det_boxes_per_image value incorrect.
Should be not the expand dim.

PiperOrigin-RevId: 194122420

* Add option to evaluate any checkpoint (without requiring write access to that directory and overwriting any existing logs there).

PiperOrigin-RevId: 194292198

* PiperOrigin-RevId: 190346687

* - Expose slim arg_scope function to compute keys to enable tessting.
- Add is_training=None option to mobinenet arg_scopes. This allows the users to set is_training from an outer scope.

PiperOrigin-RevId: 190997959

* Add an option to not set slim arg_scope for batch_norm is_training parameter. This enables users to set the is_training parameter from an outer scope.

PiperOrigin-RevId: 191611934

* PiperOrigin-RevId: 191955231

* PiperOrigin-RevId: 193254125

* PiperOrigin-RevId: 193371562

* PiperOrigin-RevId: 194085628

505f554c

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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172815204  by Zhichao Lu:

    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

29 Oct, 2017 1 commit
- fixes #2626 as Tuple Parameter Unpacking is removed from Python 3 · 32439d2e
  sjentzsch authored Oct 29, 2017
  
  32439d2e
27 Oct, 2017 1 commit
- update changes in the utils directory. · dc78c085
  Vivek Rathod authored Oct 27, 2017
  
  dc78c085
21 Sep, 2017 1 commit
- Move the research models into a research subfolder (#2430) · f87a58cd
  Neal Wu authored Sep 21, 2017
  
  f87a58cd
10 Jul, 2017 2 commits
- Fix import order to make alphabetical · 839e752d
  thess authored Jul 10, 2017
  
  839e752d
- Add back six dependency and change pbtxt files to reflect new way of using own... · 5c15cea6
  thess authored Jul 10, 2017
```
Add back six dependency and change pbtxt files to reflect new way of using own data to train object recognition models
```
  5c15cea6
06 Jul, 2017 1 commit
- Remove six dependency for dictionnaries iterators · 545b75f9
  Thibaut Mattio authored Jul 06, 2017
  
  545b75f9
28 Jun, 2017 1 commit
- updates object_detection/eval.py to be python3 compatible · 65f0fa2e
  Ben Mabey authored Jun 24, 2017
  
  65f0fa2e
16 Jun, 2017 2 commits
- Change visualizer font and jupyter notebook line thickness (#1589) · ae2c506e
  Jonathan Huang authored Jun 16, 2017
  
  ae2c506e
- Download model in Jupyter Notebook. (#1580) · c9f2ae14
  derekjchow authored Jun 16, 2017
  
  c9f2ae14
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