GitLab

* Update slim include.

* Force installation of tensorflow 1.14 (not tf2).

* Code will run without soundfile (but die if you attempt to read a sound file).

* Update slim include.

* Force installation of tensorflow 1.14 (not tf2).

* Push conflicting earlier changes in files touched.

PiperOrigin-RevId: 268414407
PiperOrigin-RevId: 278006953
PiperOrigin-RevId: 281567252
PiperOrigin-RevId: 288363770

* Removes tf.contrib usage and replaces them with direct imports for lstm object detection.

PiperOrigin-RevId: 286065032

* Internal changes.

PiperOrigin-RevId: 288363770

Colab will soon update the default version of tensorflow to 2.1.0. In order for this notebook to continue to work, I'm adding a line magic that will ensure this notebook continues to use tensorflow 1.x and execute without errors.

Fix link.

* Manually quantize selected inputs before summing them up.

PiperOrigin-RevId: 283653640

* Fix messy variable paths in LSTD head.

With a VariableScope passed as parameter into tf.variable_scope(),
TF gets all confused and starts placing variables into scopes different
from operations (variable_scope != name_scope).  That leads to very messy
TF graphs.

Before CL:
  FeatureExtractor/LSTM/conv_lstm_cell/bottleneck_0/depthwise_weights
  FeatureExtractor/LSTM/LSTM/conv_lstm_cell/bottleneck_0/separable_conv2d/depthwise

After CL:
  FeatureExtractor/LSTM/conv_lstm_cell/bottleneck_0/depthwise_weights
  FeatureExtractor/LSTM/conv_lstm_cell/bottleneck_0/separable_conv2d/depthwise

PiperOrigin-RevId: 284011539

Fix variable name issue in MobileNet example notebook.
Make sure all `base_name` variables are renamed to `checkpoint_name`.

The wget command for the KITTI dataset in the currently downloads the html for GitHub's fancy display of the text file. This change fixes that so it instead downloads the raw txt file (no more trying to resolve host '<')

Add files for YamNet, a sound event classifier.

* Make this file TensorFlow 2.0 compatible

* Update remove_gt_colormap.py

* Internal changes to tf.contrib symbols

PiperOrigin-RevId: 277940048

* Create visualwakewords dataset using slim scripts instead of custom scripts.

PiperOrigin-RevId: 278917344

* update for python3.0 compatibility

Thanks to issue raised at https://github.com/tensorflow/models/issues/7799

* Fix segmentation fault on client destruction.

edgetpu::EdgeTpuContext needs to be created before tflite::Interpreter

280142968  by Zhichao Lu:

    Opensource MobilenetEdgeTPU + ssdlite into third-party object detection APIs on EdgeTPU.

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280134001  by Zhichao Lu:

    Adds MobilenetEdgeTpu + ssdlite into internal object detection APIs on EdgeTPU.

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278941778  by Zhichao Lu:

    Add support for fixed input shapes for 'encoded_image_string_tensor' and 'tf_example' inputs.

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278933274  by Zhichao Lu:

      Adding fool proof check to avoid using 1x1 depthwise conv op.

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278762192  by Zhichao Lu:

    Ensure correct number of iterations after training resumes.

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278746440  by Zhichao Lu:

    Internal change.

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278006953  by Zhichao Lu:

    Internal changes to tf.contrib symbols

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278006330  by Zhichao Lu:

    Internal changes to tf.contrib symbols

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277593959  by Zhichao Lu:

      Make the ssd_feature_extractor_test.py PY3 compatible. The "six.zip" will use "itertools.izip" in Python 2 and "zip" in Python 3.

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277344551  by Zhichao Lu:

    Internal change.

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277154953  by Zhichao Lu:

    Conditionally use keras based optimizers so that check-pointing works correctly.
    This change also enables summaries on TPU which were previously not enabled
    due to a bug.

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277087572  by Zhichao Lu:

    Fix resizing boxes when using keep_aspect_ratio_rezier with padding.

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275898543  by Zhichao Lu:

    Support label_map_proto as input in label_map_util.

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275347137  by Zhichao Lu:

    Add force_no_resize flag in eval.proto which replaces
    the resize config with identity resizer. This is useful
    when we want to test at the original image resolution.

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PiperOrigin-RevId: 280142968

280061731  by Sergio Guadarrama:

    Fix table formatting in mobilenet readme

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280059345  by Sergio Guadarrama:

    Internal change

PiperOrigin-RevId: 280061731

279978375  by Sergio Guadarrama:

    Pass s=2 to the expanded_conv block so it can apply residual correctly in case of fused convolutions.  (Before it was relying on channel mismatch only)

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279788358  by Sergio Guadarrama:

    Update README to add mobilenet-edgetpu details

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279774392  by Sergio Guadarrama:

    Adds MobilenetV3-EdgeTpu definition.

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278917344  by Sergio Guadarrama:

    Create visualwakewords dataset using slim scripts instead of custom scripts.

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277940048  by Sergio Guadarrama:

    Internal changes to tf.contrib symbols

--

PiperOrigin-RevId: 279978375

* Update for py3 and some internal changes

* \nInternal refactor\n

PiperOrigin-RevId: 279809827

* clean up

275538818  by Sergio Guadarrama:

    Support grayscale input images in Slim model training

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275355841  by Sergio Guadarrama:

    Fixed cases where tf.TensorShape was constructed with float dimensions

    This is a prerequisite for making TensorShape and Dimension more strict
    about the types of their arguments.

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275131829  by Sergio Guadarrama:

    updates mobilenet/README.md to be github compatible adds V2+ reference to mobilenet_v1.md file and fixes invalid markdown

--

PiperOrigin-RevId: 275538818

* Merged commit includes the following changes:
275131829  by Sergio Guadarrama:

    updates mobilenet/README.md to be github compatible adds V2+ reference to mobilenet_v1.md file and fixes invalid markdown

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274908068  by Sergio Guadarrama:

    Opensource MobilenetV3 detection models.

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274697808  by Sergio Guadarrama:

    Fixed cases where tf.TensorShape was constructed with float dimensions

    This is a prerequisite for making TensorShape and Dimension more strict
    about the types of their arguments.

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273577462  by Sergio Guadarrama:

    Fixing `conv_defs['defaults']` override issue.

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272801298  by Sergio Guadarrama:

    Adds links to trained models for Moblienet V3, adds a version of minimalistic mobilenet-v3 to the definitions.

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268928503  by Sergio Guadarrama:

    Mobilenet v2 with group normalization.

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263492735  by Sergio Guadarrama:

    Internal change...

After Eager was moved to core Tensorflow, this notebook gives the error:
AttributeError: module 'tensorflow.contrib.eager' has no attribute 'Variable'
I just fixed it.

* Updating python API to use CombinedNonMaxSuppresion TF operator

1. Adds a unit test to test post_processing python API
2. Currently sets clip_window to None as the kernel uses the default
   clip_window of [0,0,1,1]
3. Added use_static_shapes to the API. In old API if
   use_static_shapes is true, then it pads/clips outputs to max_total_size, if
specified. If not specified, it pads to num_classes*max_size_per_class.
 If use_static_shapes is false, it always pads/clips to max_total_size.

Update unit test to account for clipped bouding boxes

Changed the name to CombinedNonMaxSuppression based on feedback from Google

Added additional parameters to combinedNMS python function. They are currently
unused and required for networks like FasterRCNN and MaskRCNN

* Delete selected_indices from API

Because it was removed from CombinedNMS recently in the PR.

* Improve doc of function combined_non_max_suppression

* Enable CombinedNonMaxSuppression for first_stage_nms

* fix bug

* Ensure agnostic_nms is not used with combined_nms

Remove redundant arguments from combined_nms

* Fix pylint

* Add checks for unsupported args

* Fix pylint

* Move combined_non_max_suppression to batch_multiclass_non_max_suppression

Also rename combined_nms to use_combined_nms

* Delete combined_nms for first_stage_nms because it does not work

* Revert "Delete combined_nms for first_stage_nms because it does not work"

This reverts commit 2a3cc5145f17cee630a67ddedd20e90c2920fa9f.

* Use nmsed_additional_fields.get to avoid error

* Merge combined_non_max_suppression with main nms function

* Rename combined_nms for first stage nms

* Improve  docs

* Use assertListEqual for numpy arrays

* Fix pylint errors

* End comments with period

* Fix TensorRT test output and add int8 result.

* Fix comments

* Removing footnote declaration as well

* Remove TF-TRT examples and point users to new example repo

* Update urls

* Fix review comments and links

The reference implementation can be found at
https://github.com/tensorflow/minigo

This fork was originally created to experiment with performance upgrades
for MLPerf, but since MLPerf work is focused in the original repo,
this fork's existence only serves to confuse.

Add specification for what dataset link to use on the website.

* Merged commit includes the following changes:
263863588  by yongzhe:

    Fix a bug that the SetExternalContext for EdgeTPU wasn't called when initializing LSTD client.

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263370193  by yongzhe:

    Internal change.

--

PiperOrigin-RevId: 263863588

* Revert changes in seq_dataset_builder_test.py

* Remove stale code