Updating DELF version: 2.1 (#8473)

* 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.

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253118971  by Andre Araujo:

    Metrics for Google Landmarks dataset.

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253106953  by Andre Araujo:

    Library to read files from Google Landmarks challenges.

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250700636  by Andre Araujo:

    Handle case of aggregation extraction with empty set of input features.

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250516819  by Andre Araujo:

    Add minimum size for DELF extractor.

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250435822  by Andre Araujo:

    Add max_image_size/min_image_size for open-source DELF proto / module.

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250414606  by Andre Araujo:

    Refactor extract_aggregation to allow reuse with different datasets.

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250356863  by Andre Araujo:

    Remove unnecessary cmd_args variable from boxes_and_features_extraction.

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249783379  by Andre Araujo:

    Create directory for writing mapping file if it does not exist.

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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.

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249511821  by Andre Araujo:

    Small change to function for file/directory handling.

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249289499  by Andre Araujo:

    Internal change.

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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.

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309067582  by Andre Araujo:

    Handle image resizing rounding properly for python extraction.

    New behavior is tested with unit tests.

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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

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308689397  by Andre Araujo:

    Internal change.

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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.

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306777559  by Andre Araujo:

    Internal change

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304505811  by Andre Araujo:

    Raise error during geometric verification if local features have different dimensionalities.

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301739992  by Andre Araujo:

    Transform some geometric verification constants into arguments, to allow custom matching.

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301300324  by Andre Araujo:

    Apply name change(experimental_run_v2 -> run) for all callers in Tensorflow.

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299919057  by Andre Araujo:

    Automated refactoring to make code Python 3 compatible.

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297953698  by Andre Araujo:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

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297521242  by Andre Araujo:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

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297278247  by Andre Araujo:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

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297270405  by Andre Araujo:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

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297238741  by Andre Araujo:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

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297108605  by Andre Araujo:

    Explicitly replace "import tensorflow" with "tensorflow.compat.v1" for TF2.x migration

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294676131  by Andre Araujo:

    Add option to resize images to square resolutions without aspect ratio preservation.

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293849641  by Andre Araujo:

    Internal change.

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293840896  by Andre Araujo:

    Changing Slim import to tf_slim codebase.

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293661660  by Andre Araujo:

    Allow the delf training script to read from TFRecords dataset.

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291755295  by Andre Araujo:

    Internal change.

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291448508  by Andre Araujo:

    Internal change.

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291414459  by Andre Araujo:

    Adding train script.

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291384336  by Andre Araujo:

    Adding model export script and test.

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291260565  by Andre Araujo:

    Adding placeholder for Google Landmarks dataset.

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291205548  by Andre Araujo:

    Definition of DELF model using Keras ResNet50 as backbone.

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289500793  by Andre Araujo:

    Add TFRecord building script for delf.

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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

research/delf/DETECTION.md

 ## Quick start: landmark detection
 
+[![Paper](http://img.shields.io/badge/paper-arXiv.1812.01584-B3181B.svg)](https://arxiv.org/abs/1812.01584)
+
 ### Install DELF library
 
 To be able to use this code, please follow

research/delf/EXTRACTION_MATCHING.md

 ## Quick start: DELF extraction and matching
 
+[![Paper](http://img.shields.io/badge/paper-arXiv.1612.06321-B3181B.svg)](https://arxiv.org/abs/1612.06321)
+
 ### Install DELF library
 
 To be able to use this code, please follow
@@ -76,12 +78,10 @@ $DISPLAY environment variable`. To fix this, one option is add the line
 see the discussion
 [here](https://stackoverflow.com/questions/37604289/tkinter-tclerror-no-display-name-and-no-display-environment-variable).
 
-
 #### 'skimage'
 
-By default, skimage 0.13.XX or 0.14.1 is installed if you followed the instructions. According to [https://github.com/scikit-image/scikit-image/issues/3649#issuecomment-455273659]
-If you have scikit-image related issues, upgrading to a version above 0.14.1 with 
-```
-pip install -U scikit-image
-```
-should fix the issue
+By default, skimage 0.13.XX or 0.14.1 is installed if you followed the
+instructions. According to
+[https://github.com/scikit-image/scikit-image/issues/3649#issuecomment-455273659]
+If you have scikit-image related issues, upgrading to a version above 0.14.1
+with `pip install -U scikit-image` should fix the issue

research/delf/INSTALL_INSTRUCTIONS.md

@@ -2,6 +2,8 @@
 
 ### Tensorflow
 
+[![TensorFlow 2.1](https://img.shields.io/badge/tensorflow-2.1-brightgreen)](https://github.com/tensorflow/tensorflow/releases/tag/v2.1.0)
+
 For detailed steps to install Tensorflow, follow the
 [Tensorflow installation instructions](https://www.tensorflow.org/install/). A
 typical user can install Tensorflow using one of the following commands:

research/delf/README.md

 # DELF: DEep Local Features
 
+[![TensorFlow 2.1](https://img.shields.io/badge/tensorflow-2.1-brightgreen)](https://github.com/tensorflow/tensorflow/releases/tag/v2.1.0)
+
 This project presents code for extracting DELF features, which were introduced
 with the paper
 ["Large-Scale Image Retrieval with Attentive Deep Local Features"](https://arxiv.org/abs/1612.06321).
@@ -18,6 +20,8 @@ and [NEW] code for model training.
 
 If you make use of this code, please consider citing the following papers:
 
+[![Paper](http://img.shields.io/badge/paper-arXiv.1612.06321-B3181B.svg)](https://arxiv.org/abs/1612.06321)
+
 ```
 "Large-Scale Image Retrieval with Attentive Deep Local Features",
 H. Noh, A. Araujo, J. Sim, T. Weyand and B. Han,
@@ -26,6 +30,8 @@ Proc. ICCV'17
 
 and/or
 
+[![Paper](http://img.shields.io/badge/paper-arXiv.1812.01584-B3181B.svg)](https://arxiv.org/abs/1812.01584)
+
 ```
 "Detect-to-Retrieve: Efficient Regional Aggregation for Image Search",
 M. Teichmann*, A. Araujo*, M. Zhu and J. Sim,

research/delf/delf/python/detect_to_retrieve/DETECT_TO_RETRIEVE_INSTRUCTIONS.md

 ## Detect-to-Retrieve instructions
 
+[![Paper](http://img.shields.io/badge/paper-arXiv.1812.01584-B3181B.svg)](https://arxiv.org/abs/1812.01584)
+
 These instructions can be used to reproduce the results from the
 [Detect-to-Retrieve paper](https://arxiv.org/abs/1812.01584) for the Revisited
 Oxford/Paris datasets.