GitLab

* Merged commit includes the following changes:
244869387  by Sergio Guadarrama:

    This CL adds script/code to generate Visual WakeWords Dataset annotation files and TF records starting from COCO dataset.

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244866660  by Sergio Guadarrama:

    Add VisualWakeWords Dataset to Slim dataset_factory to train MobileNets on it.

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244836000  by Sergio Guadarrama:

    n/a

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244104396  by Sergio Guadarrama:

    Add an option whether to enable / disable image cropping in inception_preprocessing.

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242040128  by Sergio Guadarrama:

    Internal change

241793677  by Sergio Guadarrama:

    Internal change

241073081  by Sergio Guadarrama:

    Internal change

240131189  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 244869387

* Merged commit includes the following changes:
245431876  by Sergio Guadarrama:

    Internal cleanup

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PiperOrigin-RevId: 245431876

* Merged commit includes the following changes:
245454983  by Sergio Guadarrama:

    Internal Cleanup

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PiperOrigin-RevId: 245454983

* Internal change.

PiperOrigin-RevId: 185564155

* Fix small bug when reading DELF features when file is empty.
A new test is added that catches this bug.

PiperOrigin-RevId: 213839503

* Refactors DELF example code to expose a function to create a DELF feature extractor.

PiperOrigin-RevId: 241492615

* Merged commit includes the following changes:
244073180  by Andre Araujo:

    Internal change

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243646498  by Andre Araujo:

    Detect and save bounding boxes for a list of images.
    A new proto is added, along with auxiliary read/write functions, and tests.

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PiperOrigin-RevId: 244073180

* Merged commit includes the following changes:
244872693  by Andre Araujo:

    Small change.

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244871213  by Andre Araujo:

    Small edit to DELF extractor function.

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244790715  by Andre Araujo:

    internal automated change

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244773146  by Andre Araujo:

    Add option to visualize extracted boxes, and change slightly model input.

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244288992  by Andre Araujo:

    Script to cluster DELF features using K-means.

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244275164  by Andre Araujo:

    Scripts to extract DELF features and boxes from Revisited Oxford/Paris datasets, used in Detect-to-Retrieve paper.

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PiperOrigin-RevId: 244872693

* Merged commit includes the following changes:

PiperOrigin-RevId: 244876167

* Updates instructions to include new released models, instructions for DELF and detector extraction, etc.

* Small fix

* Merged commit includes the following changes:
244909336  by Andre Araujo:

    Update to DELF config example to use latest model.

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PiperOrigin-RevId: 244909336

* Revert "Merged commit includes the following changes:"

This reverts commit f41be9f159330f62846d5d8b3d3d5d55cd1874f4.

* Update delf_config_example model

* Small edits to detection instructions

* Specifying GLB location in README

* Update colab demo

* fix typo

np.uint8 to np.int64 for detection class label index overflow when using OIDv4 labels

The evaluation crashes in python3 if iteritems() is used instead of items()

* Internal change.

PiperOrigin-RevId: 185564155

* Fix small bug when reading DELF features when file is empty.
A new test is added that catches this bug.

PiperOrigin-RevId: 213839503

* Refactors DELF example code to expose a function to create a DELF feature extractor.

PiperOrigin-RevId: 241492615

* Merged commit includes the following changes:
244073180  by Andre Araujo:

    Internal change

--
243646498  by Andre Araujo:

    Detect and save bounding boxes for a list of images.
    A new proto is added, along with auxiliary read/write functions, and tests.

--

PiperOrigin-RevId: 244073180

1. In python3, dict.iteritems() is gone, change it to dict.items(). And it also doesn't treat zip object as a list, so change zip to list type.
2. Add encoding flag with open function to make it more compatible for Windows/Linux system.
3. For newer tensorflow, it expected int64 without giving a dtype parameter to embedding layer. We give it float32 to solve it.

Dictionary's .iteritem() raises an error in Python3.
Replaced it with iteritem from six library.

Added missing 's' character in "install". Added link to pyglet documentation.

233991726  by Sergio Guadarrama:

    Internal change

231925959  by Sergio Guadarrama:

    Internal change

231253502  by Sergio Guadarrama:

    Internal change

229973546  by Sergio Guadarrama:

    Internal change

229870842  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 233991726

236813471  by lzc:

    Internal change.

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236507310  by lzc:

    Fix preprocess.random_resize_method config type issue. The target height and width will be passed as "size" to tf.image.resize_images which only accepts integer.

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236409989  by Zhichao Lu:

    Config export_to_tpu from function parameter instead of HParams for TPU inference.

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236403186  by Zhichao Lu:

    Make graph file names optional arguments.

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236237072  by Zhichao Lu:

    Minor bugfix for keyword args.

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236209602  by Zhichao Lu:

    Add support for PartitionedVariable to get_variables_available_in_checkpoint.

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235828658  by Zhichao Lu:

    Automatically stop evaluation jobs when training is finished.

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235817964  by Zhichao Lu:

    Add an optional process_metrics_fn callback to eval_util, it gets called
    with evaluation results once each evaluation is complete.

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235788721  by lzc:

    Fix yml file tf runtime...

* Internal changes

PiperOrigin-RevId: 237183552

* update readme

PiperOrigin-RevId: 237184584

* replace the usage of python's built in sort with numpy's argsort, which is faster. Also use the given axes to get the most_likely_words instead of calling enumerate and list (it's slower and more memory conssuming)

* correct indentation and redaction on comment for the changes purposes according to cshallue's comment

Open-source FEELVOS model, which was developed by Paul Voigtlaender during his 2018 summer internship at Google. The work has been accepted to CVPR 2019. (#6274)

* Fixed incorrect tensor

* Replaced xrange with range for python3 compatibility

* \nRefactor deeplab to use MonitoredTrainingSession\n

PiperOrigin-RevId: 234237190

* Update export_model.py

* Update nas_cell.py

* Update nas_network.py

* Update train.py

* Update deeplab_demo.ipynb

* Update nas_cell.py

This import from google3.third_party doesn't work.

This file was inadvertantly renamed in #6071.

As discussed here: https://github.com/tensorflow/tensorflow/issues/11312, this change allows this script to work in Python 3.

This file was re-located below the tensorflow/lite/g3doc/convert
Signed-off-by: MyungSung Kwak <yesmung@gmail.com>

228203246  by Sergio Guadarrama:

    Add a write text graphdef option.

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226110161  by Sergio Guadarrama:

    Add license to i3d/s3dg and tests.

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226074013  by Sergio Guadarrama:

    Network definitions for I3D and S3D-G.

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224394404  by Sergio Guadarrama:

    Add video model option for exported inference graphs.

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224220779  by Sergio Guadarrama:

    Internal change

223589268  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 228203246

Changes in Tensorflow contrib:
https://github.com/tensorflow/tensorflow/commit/304faf0444260912b6996d39227417c09561c37e

Causes tensortt.py to fail. 

```
AttributeError: 'module' object has no attribute 'get_signature_def_by_key'
```
Replace `tf.contrib.saved_model.get_signature_def_by_key` with `meta_graph_def.signature_def`

* Remove duplicate elif case in _check_and_convert_legacy_input_config_key

* Remove duplicate eval_input_path case.

Fixes the variable name for the tf proto example function.