1. 29 May, 2020 9 commits
  2. 28 May, 2020 4 commits
    • Abdullah Rashwan's avatar
      Internal change · 980b27d5
      Abdullah Rashwan authored
      PiperOrigin-RevId: 313662797
      980b27d5
    • Hongkun Yu's avatar
      Deprecate old customized training loop for run_classifier.py as compile/fit... · abf60128
      Hongkun Yu authored
      Deprecate old customized training loop for run_classifier.py as compile/fit fully satisfy needs/performance.
      
      PiperOrigin-RevId: 313660745
      abf60128
    • Reed Wanderman-Milne's avatar
      Use float32 activation in Transformer. · 94b1efc1
      Reed Wanderman-Milne authored
      Float32 is used if the model uses mixed precision with bfloat16. Float16 activation are unchanged.
      
      The motivation is that BERT with the LAMB optimizer with a gelu activation has an unstable loss when gelu is in bfloat16. Unfortunately, it is not easy to check if the LAMB optimizer and gelu is used, and perhaps there are other cases that work better with float32 activations instead of bfloat16 activations, so we always do the activation in float32 instead of bfloat16.
      
      PiperOrigin-RevId: 313618322
      94b1efc1
    • A. Unique TensorFlower's avatar
      Internal change · fbec2dbe
      A. Unique TensorFlower authored
      PiperOrigin-RevId: 313536026
      fbec2dbe
  3. 27 May, 2020 4 commits
  4. 26 May, 2020 7 commits
    • pkulzc's avatar
      Release MobileDet code and model, and require tf_slim installation for OD API. (#8562) · 451906e4
      pkulzc authored
      
      
      * Merged commit includes the following changes:
      311933687  by Sergio Guadarrama:
      
          Removes spurios use of tf.compat.v2, which results in spurious tf.compat.v1.compat.v2. Adds basic test to nasnet_utils.
          Replaces all remaining import tensorflow as tf with import tensorflow.compat.v1 as tf
      
      --
      311766063  by Sergio Guadarrama:
      
          Removes explicit tf.compat.v1 in all call sites (we already import tf.compat.v1, so this code was  doing tf.compat.v1.compat.v1). The existing code worked in latest version of tensorflow, 2.2, (and 1.15) but not in 1.14 or in 2.0.0a, this CL fixes it.
      
      --
      311624958  by Sergio Guadarrama:
      
          Updates README that doesn't render properly in github documentation
      
      --
      310980959  by Sergio Guadarrama:
      
          Moves research_models/slim off tf.contrib.slim/layers/framework to tf_slim
      
      --
      310263156  by Sergio Guadarrama:
      
          Adds model breakdown for MobilenetV3
      
      --
      308640516  by Sergio Guadarrama:
      
          Internal change
      
      308244396  by Sergio Guadarrama:
      
          GroupNormalization support for MobilenetV3.
      
      --
      307475800  by Sergio Guadarrama:
      
          Internal change
      
      --
      302077708  by Sergio Guadarrama:
      
          Remove `disable_tf2` behavior from slim py_library targets
      
      --
      301208453  by Sergio Guadarrama:
      
          Automated refactoring to make code Python 3 compatible.
      
      --
      300816672  by Sergio Guadarrama:
      
          Internal change
      
      299433840  by Sergio Guadarrama:
      
          Internal change
      
      299221609  by Sergio Guadarrama:
      
          Explicitly disable Tensorflow v2 behaviors for all TF1.x binaries and tests
      
      --
      299179617  by Sergio Guadarrama:
      
          Internal change
      
      299040784  by Sergio Guadarrama:
      
          Internal change
      
      299036699  by Sergio Guadarrama:
      
          Internal change
      
      298736510  by Sergio Guadarrama:
      
          Internal change
      
      298732599  by Sergio Guadarrama:
      
          Internal change
      
      298729507  by Sergio Guadarrama:
      
          Internal change
      
      298253328  by Sergio Guadarrama:
      
          Internal change
      
      297788346  by Sergio Guadarrama:
      
          Internal change
      
      297785278  by Sergio Guadarrama:
      
          Internal change
      
      297783127  by Sergio Guadarrama:
      
          Internal change
      
      297725870  by Sergio Guadarrama:
      
          Internal change
      
      297721811  by Sergio Guadarrama:
      
          Internal change
      
      297711347  by Sergio Guadarrama:
      
          Internal change
      
      297708059  by Sergio Guadarrama:
      
          Internal change
      
      297701831  by Sergio Guadarrama:
      
          Internal change
      
      297700038  by Sergio Guadarrama:
      
          Internal change
      
      297670468  by Sergio Guadarrama:
      
          Internal change.
      
      --
      297350326  by Sergio Guadarrama:
      
          Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration
      
      --
      297201668  by Sergio Guadarrama:
      
          Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration
      
      --
      294483372  by Sergio Guadarrama:
      
          Internal change
      
      PiperOrigin-RevId: 311933687
      
      * Merged commit includes the following changes:
      312578615  by Menglong Zhu:
      
          Modify the LSTM feature extractors to be python 3 compatible.
      
      --
      311264357  by Menglong Zhu:
      
          Removes contrib.slim
      
      --
      308957207  by Menglong Zhu:
      
          Automated refactoring to make code Python 3 compatible.
      
      --
      306976470  by yongzhe:
      
          Internal change
      
      306777559  by Menglong Zhu:
      
          Internal change
      
      --
      299232507  by lzyuan:
      
          Internal update.
      
      --
      299221735  by lzyuan:
      
          Add small epsilon on max_range for quantize_op to prevent range collapse.
      
      --
      
      PiperOrigin-RevId: 312578615
      
      * Merged commit includes the following changes:
      310447280  by lzc:
      
          Internal changes.
      
      --
      
      PiperOrigin-RevId: 310447280
      Co-authored-by: default avatarSergio Guadarrama <sguada@google.com>
      Co-authored-by: default avatarMenglong Zhu <menglong@google.com>
      451906e4
    • Allen Wang's avatar
      Modify `augment.transform` to use `tf.rank` rather than `len(shape)`. · 73b5be67
      Allen Wang authored
      PiperOrigin-RevId: 313259032
      73b5be67
    • Hongkun Yu's avatar
      Add init_checkpoint for nhnet benchmark. · 986b0825
      Hongkun Yu authored
      PiperOrigin-RevId: 313205490
      986b0825
    • Jaeyoun Kim's avatar
      Update README.md · 5110d3a2
      Jaeyoun Kim authored
      Add a link for DELG
      5110d3a2
    • Maxim Neumann's avatar
      Add learning_rate to the summary. · ee760015
      Maxim Neumann authored
      PiperOrigin-RevId: 313148142
      ee760015
    • André Susano Pinto's avatar
      Add --sub_model_export_name to run_classifier and run_squad. · 38800db3
      André Susano Pinto authored
      This allows one to finetune a BERT model into a task before using it for
      another task. E.g. SQuAD before finetune another QA type of tasks.
      
      PiperOrigin-RevId: 313145768
      38800db3
    • Hongkun Yu's avatar
      Internal change · 0108405d
      Hongkun Yu authored
      PiperOrigin-RevId: 313125068
      0108405d
  5. 25 May, 2020 2 commits
  6. 24 May, 2020 3 commits
  7. 23 May, 2020 2 commits
  8. 22 May, 2020 4 commits
    • Hongkun Yu's avatar
      Remove mlperf in requirements.txt. No official model depends on it. · 0798c8ba
      Hongkun Yu authored
      PiperOrigin-RevId: 312841381
      0798c8ba
    • André Araujo's avatar
      Small documentation update (#8558) · 92287fe0
      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
      92287fe0
    • Yeqing Li's avatar
      Internal change · fffcd235
      Yeqing Li authored
      PiperOrigin-RevId: 312770722
      fffcd235
    • André Araujo's avatar
      Add GLDv2 baseline in DELF codebase (#8557) · 979e296a
      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
      979e296a
  9. 21 May, 2020 5 commits