"test/lang/test_bind_cache.py" did not exist on "cf9d8efdd374b65dcdea15f8d5bb89b47f98d8ed"
  1. 01 Jul, 2020 5 commits
    • vivek rathod's avatar
      Merged commit includes the following changes: (#8761) · e6017471
      vivek rathod authored
      
      
      319125512  by aom:
      
          Internal change
      
      --
      319108395  by rathodv:
      
          Internal Change
      
      --
      319106259  by ronnyvotel:
      
          Updating input pipeline to return DensePose labels.
      
      --
      
      PiperOrigin-RevId: 319125512
      Co-authored-by: default avatarZhichao Lu <lzc@google.com>
      e6017471
    • A. Unique TensorFlower's avatar
      Internal change · 58d19c67
      A. Unique TensorFlower authored
      PiperOrigin-RevId: 319162455
      58d19c67
    • Jaeyoun Kim's avatar
      Update README.md · 574455f5
      Jaeyoun Kim authored
      Add SpineNet to the Announcements section
      574455f5
    • Hongkun Yu's avatar
      Update docstring to explicitly callout the methods run on remote hosts/devices. · 66cc634f
      Hongkun Yu authored
      PiperOrigin-RevId: 319157806
      66cc634f
    • André Araujo's avatar
      TF2 version for global feature model exporting (#8760) · 30bac445
      André Araujo authored
      * Merged commit includes the following changes:
      253126424  by Andre Araujo:
      
          Scripts to compute metrics for Google Landmarks dataset.
      
          Also, a small fix to metric in retrieval case: avoids duplicate predicted images.
      
      --
      253118971  by Andre Araujo:
      
          Metrics for Google Landmarks dataset.
      
      --
      253106953  by Andre Araujo:
      
          Library to read files from Google Landmarks challenges.
      
      --
      250700636  by Andre Araujo:
      
          Handle case of aggregation extraction with empty set of input features.
      
      --
      250516819  by Andre Araujo:
      
          Add minimum size for DELF extractor.
      
      --
      250435822  by Andre Araujo:
      
          Add max_image_size/min_image_size for open-source DELF proto / module.
      
      --
      250414606  by Andre Araujo:
      
          Refactor extract_aggregation to allow reuse with different datasets.
      
      --
      250356863  by Andre Araujo:
      
          Remove unnecessary cmd_args variable from boxes_and_features_extraction.
      
      --
      249783379  by Andre Araujo:
      
          Create directory for writing mapping file if it does not exist.
      
      --
      249581591  by Andre Araujo:
      
          Refactor scripts to extract boxes and features from images in Revisited datasets.
          Also, change tf.logging.info --> print for easier logging in open source code.
      
      --
      249511821  by Andre Araujo:
      
          Small change to function for file/directory handling.
      
      --
      249289499  by Andre Araujo:
      
          Internal change.
      
      --
      
      PiperOrigin-RevId: 253126424
      
      * Updating DELF init to adjust to latest changes
      
      * Editing init files for python packages
      
      * Edit D2R dataset reader to work with py3.
      
      PiperOrigin-RevId: 253135576
      
      * DELF package: fix import ordering
      
      * Adding new requirements to setup.py
      
      * Adding init file for training dir
      
      * Merged commit includes the following changes:
      
      FolderOrigin-RevId: /google/src/cloud/andrearaujo/delf_oss/google3/..
      
      * Adding init file for training subdirs
      
      * Working version of DELF training
      
      * Internal change.
      
      PiperOrigin-RevId: 253248648
      
      * Fix variance loading in open-source code.
      
      PiperOrigin-RevId: 260619120
      
      * Separate image re-ranking as a standalone library, and add metric writing to dataset library.
      
      PiperOrigin-RevId: 260998608
      
      * Tool to read written D2R Revisited datasets metrics file. Test is added.
      
      Also adds a unit test for previously-existing SaveMetricsFile function.
      
      PiperOrigin-RevId: 263361410
      
      * Add optional resize factor for feature extraction.
      
      PiperOrigin-RevId: 264437080
      
      * Fix NumPy's new version spacing changes.
      
      PiperOrigin-RevId: 265127245
      
      * Maker image matching function visible, and add support for RANSAC seed.
      
      PiperOrigin-RevId: 277177468
      
      * Avoid matplotlib failure due to missing display backend.
      
      PiperOrigin-RevId: 287316435
      
      * Removes tf.contrib dependency.
      
      PiperOrigin-RevId: 288842237
      
      * Fix tf contrib removal for feature_aggregation_extractor.
      
      PiperOrigin-RevId: 289487669
      
      * Merged commit includes the following changes:
      309118395  by Andre Araujo:
      
          Make DELF open-source code compatible with TF2.
      
      --
      309067582  by Andre Araujo:
      
          Handle image resizing rounding properly for python extraction.
      
          New behavior is tested with unit tests.
      
      --
      308690144  by Andre Araujo:
      
          Several changes to improve DELF model/training code and make it work in TF 2.1.0:
          - Rename some files for better clarity
          - Using compat.v1 versions of functions
          - Formatting changes
          - Using more appropriate TF function names
      
      --
      308689397  by Andre Araujo:
      
          Internal change.
      
      --
      308341315  by Andre Araujo:
      
          Remove old slim dependency in DELF open-source model.
      
          This avoids issues with requiring old TF-v1, making it compatible with latest TF.
      
      --
      306777559  by Andre Araujo:
      
          Internal change
      
      --
      304505811  by Andre Araujo:
      
          Raise error during geometric verification if local features have different dimensionalities.
      
      --
      301739992  by Andre Araujo:
      
          Transform some geometric verification constants into arguments, to allow custom matching.
      
      --
      301300324  by Andre Araujo:
      
          Apply name change(experimental_run_v2 -> run) for all callers in Tensorflow.
      
      --
      299919057  by Andre Araujo:
      
          Automated refactoring to make code Python 3 compatible.
      
      --
      297953698  by Andre Araujo:
      
          Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration
      
      --
      297521242  by Andre Araujo:
      
          Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration
      
      --
      297278247  by Andre Araujo:
      
          Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration
      
      --
      297270405  by Andre Araujo:
      
          Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration
      
      --
      297238741  by Andre Araujo:
      
          Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration
      
      --
      297108605  by Andre Araujo:
      
          Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration
      
      --
      294676131  by Andre Araujo:
      
          Add option to resize images to square resolutions without aspect ratio preservation.
      
      --
      293849641  by Andre Araujo:
      
          Internal change.
      
      --
      293840896  by Andre Araujo:
      
          Changing Slim import to tf_slim codebase.
      
      --
      293661660  by Andre Araujo:
      
          Allow the delf training script to read from TFRecords dataset.
      
      --
      291755295  by Andre Araujo:
      
          Internal change.
      
      --
      291448508  by Andre Araujo:
      
          Internal change.
      
      --
      291414459  by Andre Araujo:
      
          Adding train script.
      
      --
      291384336  by Andre Araujo:
      
          Adding model export script and test.
      
      --
      291260565  by Andre Araujo:
      
          Adding placeholder for Google Landmarks dataset.
      
      --
      291205548  by Andre Araujo:
      
          Definition of DELF model using Keras ResNet50 as backbone.
      
      --
      289500793  by Andre Araujo:
      
          Add TFRecord building script for delf.
      
      --
      
      PiperOrigin-RevId: 309118395
      
      * Updating README, dependency versions
      
      * Updating training README
      
      * Fixing init import of export_model
      
      * Fixing init import of export_model_utils
      
      * tkinter in INSTALL_INSTRUCTIONS
      
      * Merged commit includes the following changes:
      
      FolderOrigin-RevId: /google/src/cloud/andrearaujo/delf_oss/google3/..
      
      * INSTALL_INSTRUCTIONS mentioning different cloning options
      
      * Updating required TF version, since 2.1 is not available in pip
      
      * Internal change.
      
      PiperOrigin-RevId: 309136003
      
      * Fix missing string_input_producer and start_queue_runners in TF2.
      
      PiperOrigin-RevId: 309437512
      
      * Handle RANSAC from skimage's latest versions.
      
      PiperOrigin-RevId: 310170897
      
      * DELF 2.1 version: badge and setup.py updated
      
      * Add TF version badge in INSTALL_INSTRUCTIONS and paper badges in README
      
      * Add paper badges in paper instructions
      
      * Add paper badge to landmark detection instructions
      
      * Small update to DELF training README
      
      * Merged commit includes the following changes:
      312614961  by Andre Araujo:
      
          Instructions/code to reproduce DELG paper results.
      
      --
      312523414  by Andre Araujo:
      
          Fix a minor bug when post-process extracted features, format config.delf_global_config.image_scales_ind to a list.
      
      --
      312340276  by Andre Araujo:
      
          Add support for global feature extraction in DELF open-source codebase.
      
      --
      311031367  by Andre Araujo:
      
          Add use_square_images as an option in DELF config. The default value is false. if it is set, then images are resized to square resolution before feature extraction (e.g. Starburst use case. ) Thought for a while, whether to have two constructor of DescriptorToImageTemplate, but in the end, decide to only keep one, may be less confusing.
      
      --
      310658638  by Andre Araujo:
      
          Option for producing local feature-based image match visualization.
      
      --
      
      PiperOrigin-RevId: 312614961
      
      * DELF README update / DELG instructions
      
      * DELF README update
      
      * DELG instructions update
      
      * Merged commit includes the following changes:
      
      PiperOrigin-RevId: 312695597
      
      * Merged commit includes the following changes:
      312754894  by Andre Araujo:
      
          Code edits / instructions to reproduce GLDv2 results.
      
      --
      
      PiperOrigin-RevId: 312754894
      
      * Markdown updates after adding GLDv2 stuff
      
      * Small updates to DELF README
      
      * Clarify that library must be installed before reproducing results
      
      * Merged commit includes the following changes:
      319114828  by Andre Araujo:
      
          Upgrade global feature model exporting to TF2.
      
      --
      
      PiperOrigin-RevId: 319114828
      
      * Properly merging README
      
      * small edits to README
      
      * small edits to README
      
      * small edits to README
      
      * global feature exporting in training README
      30bac445
  2. 30 Jun, 2020 11 commits
    • Dan Anghel's avatar
      Update to the DELF training README (#8759) · 04c0409c
      Dan Anghel authored
      
      
      * First version of working script to download the GLDv2 dataset
      
      * First version of the DEFL package installation script
      
      * First working version of the DELF package installation script
      
      * Fixed feedback from PR review
      
      * Push to Github of changes to the TFRecord data generation script for DELF.
      
      * Merged commit includes the following changes:
      315363544  by Andre Araujo:
      
          Added the generation of TRAIN and VALIDATE splits from the train dataset.
      
      --
      314676530  by Andre Araujo:
      
          Updated script to download GLDv2 images for DELF training.
      
      --
      314101235  by Andre Araujo:
      
          Added newly created module 'utils' to the copybara script.
      
      --
      313677085  by Andre Araujo:
      
          Code migration from TF1 to TF2 for:
          - logging (replaced usage of tf.compat.v1.logging.info)
          - testing directories (replaced usage of tf.compat.v1.test.get_temp_dir())
          - feature/object extraction scripts (replaced usage of tf.compat.v1.train.string_input_producer and tf.compat.v1.train.start_queue_runners with PIL)
      
      --
      312770828  by Andre Araujo:
      
          Internal change.
      
      --
      
      PiperOrigin-RevId: 315363544
      
      * First version of the updated README of the DELF training instructions
      
      * Added to the README the section describing the generation of the training data
      
      * Added warning about the TFRecord generation time
      
      * Updated the launch of the training
      
      * Minor README update
      
      * Integrated review feedback
      
      * Merged commit includes the following changes:
      315971979  by Andre Araujo:
      
          Performance optimization in generating the TRAIN and VALIDATION splits per label.
      
      --
      315578370  by Andre Araujo:
      
          Tiny fix to char limit in extractor.py.
      
      --
      315546242  by Andre Araujo:
      
          Script to measure DELG latency.
      
      --
      315545801  by Andre Araujo:
      
          Pre-load PCA parameters, if using them when extracting DELF/G features.
      
      --
      315450392  by Andre Araujo:
      
          Code migration from TF1 to TF2 for:
          - loading the models using  in extractor.py and detector.py using tf.saved_model.load
          - removed tf.compat.v1.Session for the extractor and detector model usage
      
      --
      315406342  by Andre Araujo:
      
          Internal change.
      
      --
      
      PiperOrigin-RevId: 315971979
      
      * Merged commit includes the following changes:
      316538447  by Andre Araujo:
      
          Read the number of classes from the GLDv2 dataset metadata.
      
      --
      316416973  by Andre Araujo:
      
          Migration of DELF code to TF2:
          - removed tf.compat.v1.test.get_temp_dir() with FLAGS.test_tmpdir
          - removed delf_v1.py and its dependencies
          - removed tf.compat.v1, Session, Graph dependencies from feature_extractor.py, feature_aggregation_extractor.py and aggregation_extraction.py
      
      --
      
      PiperOrigin-RevId: 316538447
      
      * Removed reference to delf_v1
      
      * Merged commit includes the following changes:
      318168500  by Andre Araujo:
      
          Several small changes to DELF open-source training code:
          - Replace "make_dataset_iterator" call which was deprecated by a more recent suitable version.
          - Add image summary, allowing visualization of the augmented images during training
          - Normalize images before feeding them to the model
      
      --
      316888714  by Andre Araujo:
      
          - Removed unnecessary cast from feature_aggregation_extraction.py
          - Fixed clustering script
      
      --
      
      PiperOrigin-RevId: 318168500
      
      * Merged commit includes the following changes:
      318401984  by Andre Araujo:
      
          Add attention visualization to DELF training script.
      
      --
      
      PiperOrigin-RevId: 318401984
      
      * README update with training and model validation steps
      
      * Minor fixes to the DEFL training README
      
      * Integrated review feedback
      
      * Changed passing of boolean parameter to script
      Co-authored-by: default avatarAndre Araujo <andrearaujo@google.com>
      04c0409c
    • Hongkun Yu's avatar
      Internal change · 4b46ab20
      Hongkun Yu authored
      PiperOrigin-RevId: 319114361
      4b46ab20
    • Yiming Shi's avatar
      Add Faster RCNN Resnet V1 FPN Keras feature extractor (#8716) · 3300fa04
      Yiming Shi authored
      * Initial commit for faster rcnn resnet v1 fpn feature extractor.
      
      1. Setup code structure for fpn feature extractor
      
      * draft for faster rcnn resnet vi fpn feature extractor
      
      * draft for faster rcnn resnet v1 fpn feature extractor
      
      * add seperated class for resnet 50 101 152
      
      * draft for get_box_classifier_feature_extractor_model
      
      * remove unused code
      
      * Init test file for faster_rcnn_fpn_keras_feature extractor
      
      * add unit test for get_proposal_feature_extractor_model
      
      * add unit test for get_proposal_feature_extractor_model smaller input size
      
      * add unit test for get_proposal_feature_extractor_model incorrect dimension
      
      * change keras model output format
      
      * Update size on extract_proposal_features tests
      
      * change default fpn_min_level to 2
      
      * fix error in get_box_classifier_feature_extractor_model
      
      * add shape test for get_box_classifier_feature_extractor_model
      
      * fix coding style
      
      * Fix coding style for feature extractor.
      
      * add faster rcnn resnet v1 fpn feature extractor to model builder
      
      * rename fpn feature extractors
      
      * modify doc string for Feature extractor:
      
      drop word "implementation"
      
      * add todo in get_box_classifier_feature_extractor_model
      
      * remove enable_v2_behavior
      
      * drop unittest test_extract_proposal_features_dies_with_incorrect_rank_inputs
      
      * modify feature extractor name
      
      * remove min_depth and depth_multiplier feature
      
      * Add coarse layers for faster rcnn fpn keras model
      
      1. Add coarse layers
      2. Update corresponding unit test to check the size of the coarse layer
      is correct
      
      * change the default max_fpn_level to 6
      
      * change unittest since default max_fpn_level is change to 6
      3300fa04
    • A. Unique TensorFlower's avatar
      Add ELECTRA pretrainer v2 configuration and adjust the visibility of ELECTRAPretrainer. · a36f85c6
      A. Unique TensorFlower authored
      Contributed by mickeystroller
      
      PiperOrigin-RevId: 319073522
      a36f85c6
    • vivek rathod's avatar
      Merged commit includes the following changes: (#8755) · 0e57630c
      vivek rathod authored
      319052168  by rathodv:
      
          Change assertAllEqual to assertAllClose for Position Sensitive Crop and Resize to avoid flaky tests.
      
      --
      319044492  by rathodv:
      
          Internal change.
      
      --
      319039033  by ronnyvotel:
      
          Preprocessor ops for DensePose.
      
      --
      319035440  by sbeery:
      
          External beam code with DataFlow Support
      
      --
      318899436  by ronnyvotel:
      
          DensePose library for common operations like scaling, coordinate transformations, and flipping.
      
      --
      318833308  by Vivek Rathod:
      
            Internal Change
      
      --
      
      PiperOrigin-RevId: 319052168
      0e57630c
    • Allen Wang's avatar
      Internal change · b035a227
      Allen Wang authored
      PiperOrigin-RevId: 319058156
      b035a227
    • BasiaFusinska's avatar
      Merged commit includes the following changes: (#8753) · df89d3e0
      BasiaFusinska authored
      318938278  by Andre Araujo:
      
          Loading pretrained ImageNet weights to initialize the ResNet backbone. Changed the defaults of the batch size and initial learning rate to increase convergence on the GLDv2 dataset. Made the evaluation batch size dynamic depending on the global batch size.
      
      --
      318911740  by Andre Araujo:
      
          Introduced additional shuffling of the TRAIN and VALIDATION datasets to ensure label variance across batches.
      
      --
      318908335  by Andre Araujo:
      
          Export model migration to TF2.
      
      --
      318489123  by Andre Araujo:
      
          Model exporting script for global feature trained with DELF codebase.
          Additionally, makes a small change to replace back_prop=False in the tf.while_loop call (see deprecation notice in https://www.tensorflow.org/api_docs/python/tf/while_loop
      
      ).
      
      --
      318401984  by Andre Araujo:
      
          Add attention visualization to DELF training script.
      
      --
      318168500  by Andre Araujo:
      
          Several small changes to DELF open-source training code:
          - Replace "make_dataset_iterator" call which was deprecated by a more recent suitable version.
          - Add image summary, allowing visualization of the augmented images during training
          - Normalize images before feeding them to the model
      
      --
      316888714  by Andre Araujo:
      
          - Removed unnecessary cast from feature_aggregation_extraction.py
          - Fixed clustering script
      
      --
      
      PiperOrigin-RevId: 318938278
      Co-authored-by: default avatarAndre Araujo <andrearaujo@google.com>
      df89d3e0
    • A. Unique TensorFlower's avatar
      Introducing SpineNet backbone to TF2. · 9725a407
      A. Unique TensorFlower authored
      PiperOrigin-RevId: 318945656
      9725a407
    • Chen Chen's avatar
      Internal Change · 91e2171b
      Chen Chen authored
      PiperOrigin-RevId: 318942343
      91e2171b
    • Hongkun Yu's avatar
      Internal change · e30aa7d8
      Hongkun Yu authored
      PiperOrigin-RevId: 318935091
      e30aa7d8
    • kmindspark's avatar
      revert properly (#8751) · cc5a7980
      kmindspark authored
      cc5a7980
  3. 29 Jun, 2020 4 commits
  4. 28 Jun, 2020 1 commit
  5. 27 Jun, 2020 1 commit
  6. 26 Jun, 2020 5 commits
    • vivek rathod's avatar
      Merged commit includes the following changes: (#8741) · 6ef140dc
      vivek rathod authored
      318545448  by jonathanhuang:
      
          Modifies visualization code in TF2 evaluation loop so that we don't write out image summaries to disk for every single image.  This change will reduce summary file sizes by ~2 orders of magnitude on average and speed up evaluation cycles (20 minutes per COCO eval cycle vs 2 hours for RetinaNet).
      
      --
      318514741  by sbeery:
      
          Adding link to the blog post
      
      --
      
      PiperOrigin-RevId: 318545448
      6ef140dc
    • vivek rathod's avatar
      Merged commit includes the following changes: (#8740) · a555f1b0
      vivek rathod authored
      318497061  by rathodv:
      
          1. Replace strategy.run() with strategy.experimental_run_v2() and replace tensor.ref() with tensor.experimental_ref() to be compatible with TF2.1 runtime on cloud.
          2. Fix expected string in failing PY3 tests.
      
      --
      318493408  by aom:
      
          Implements "Bidirectional Feature Pyramid Network Generators" for BiFPN-based feature extractors (e.g. EfficientDet).
      
      --
      
      PiperOrigin-RevId: 318497061
      a555f1b0
    • vivek rathod's avatar
      Merged commit includes the following changes: (#8739) · 0f0c7745
      vivek rathod authored
      318417714  by jonathanhuang:
      
          Internal change.
      
      --
      318367213  by sbeery:
      
          Pointing users to more documentation for beam
      
      --
      318358685  by sbeery:
      
          Context R-CNN sample config for GPU
      
      --
      318309800  by rathodv:
      
          Internal
      
      --
      318303364  by ronnyvotel:
      
          Adding the option for parsing and including DensePose annotations. http://densepose.org/
      
      --
      318291319  by aom:
      
          Adds conv_bn_act conv_block option, and naming convention changes for BiFPN utils.
      
      --
      318200598  by ronnyvotel:
      
          Updating the TF Example Decoder to parse DensePose annotations.
      
      --
      318174065  by jonathanhuang:
      
          Internal change.
      
      --
      318167805  by rathodv:
      
          Add use_tpu flag to TF2 binary.
      
      --
      318145285  by aom:
      
          Adds option for convolutional keras box predictor to force use_bias.
      
      --
      
      PiperOrigin-RevId: 318417714
      0f0c7745
    • Hongkun Yu's avatar
      Update weighted sparse categorical loss. Remove per-example loss. · 1e4fd825
      Hongkun Yu authored
      PiperOrigin-RevId: 318421049
      1e4fd825
    • Chen Chen's avatar
      Internal change · 02242bc8
      Chen Chen authored
      PiperOrigin-RevId: 318387106
      02242bc8
  7. 25 Jun, 2020 4 commits
  8. 24 Jun, 2020 5 commits
    • Hongkun Yu's avatar
      Opensource 3D Unet model to Tensorflow Official Model Garden. · 14782f9a
      Hongkun Yu authored
      PiperOrigin-RevId: 318151912
      14782f9a
    • Chen Chen's avatar
      Exclude the label_id used for padding in the label space for tagging task. · d495e481
      Chen Chen authored
      PiperOrigin-RevId: 318149287
      d495e481
    • A. Unique TensorFlower's avatar
      Internal change · aca51294
      A. Unique TensorFlower authored
      PiperOrigin-RevId: 318129893
      aca51294
    • vivek rathod's avatar
      Merged commit includes the following changes: (#8728) · e0dade52
      vivek rathod authored
      
      
      318106429  by derekjchow:
      
          Add Dockerfiles for TF-OD API.
      
          1.15 and 2.2 supported currently.
      
      --
      318083650  by rathodv:
      
          Internal Change.
      
      --
      317893148  by Zhichao Lu:
      
          Fix mapping from proto fields to parameters of the data augmentation functions for horizontal flip, vertical flip and 90 degree rotations.
      
      --
      317753117  by Zhichao Lu:
      
          Adds keras hyperparam option to force use_bias to True, even when using batch norm.
      
      --
      317613986  by Zhichao Lu:
      
          Improves Keypoints support for data augmentation by means of 90 degree rotation adding an option to permute keypoints.
      
          Unify the interfaces among flip and rotation ops for data augmentation by exposing additional properties to the user.
      
      --
      317136881  by Zhichao Lu:
      
          Clarifying documentation
      
      --
      317097141  by Zhichao Lu:
      
          Adding Context R-CNN Release to TFODAPI ReadMe
      
      --
      316999744  by Zhichao Lu:
      
          Add import tensorflow.compat.v2 as tf2 in the model_lib to
          ensure tf1 compatibility.
      
      --
      316964482  by Zhichao Lu:
      
          adding a note about a config change needed for exporting detection features
      
      --
      316944293  by Zhichao Lu:
      
          Adding install instructions for apache beam
      
      --
      316917592  by lzc:
      
          Internal change.
      
      --
      
      PiperOrigin-RevId: 318106429
      Co-authored-by: default avatarZhichao Lu <lzc@google.com>
      e0dade52
    • Jaeyoun Kim's avatar
      Update README_TEMPLATE.md · 671d5424
      Jaeyoun Kim authored
      Add a TF Hub badge
      671d5424
  9. 23 Jun, 2020 4 commits