GitLab

Co-authored-by: yukun <yukun@google.com>

* remove research/astronet/

* Update CODEOWNERS

* Update README.md

Python 2 is deprecated. Tested by running the notebook in a Python 3 runtime.

Created a table to organize models
Added paper names
Added maintainer information

298416930  by lzyuan:

    Explicitly mark base models' state inputs as 'raw_inputs/init_lstm_h_1' and 'raw_inputs_init_lstm_h_2' when pre_bottleneck=True.

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298380851  by skligys:

    Fix LSTD LSTM cells to use fixed_quantize_op().

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297662737  by Menglong Zhu:

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

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289667197  by lzyuan:

    Internal update.

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288607438  by lzyuan:

    Enforce feature_extractor construction using arg keys.

--

PiperOrigin-RevId: 298416930
Co-authored-by: Menglong Zhu <menglong@google.com>

* Update README.md

* Update README.md

* Modify yamnet_visualization to work for any (?) sampling rate in input wav file.

* remove tensorrt as the example repo has been moved for a while

* delete syntax net to reduce repo size as syntax net is going to move to google-research/

* Update README.md

Delete syntaxnet from readme.

* Update CODEOWNERS

Delete syntaxnet from codeowners

* research/attention_ocr: Minor changes to make it compatible with python 3.

* research/attention_ocr: Script to create a smaller test file.

* Remove differential_privacy and morph_net from research folder because they have been migrated to google-research/ for a while

* Update README.md

* Update CODEOWNERS

Remove resnet in readme

Since the GAN link is now dead, it can safely be removed.

The colab and github link were in wrong hrefs.

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.

Internal cleanup (py2->py3) plus the following changes:

285513318  by Sergio Guadarrama:

    Adds a script for post-training quantization

284222305  by Sergio Guadarrama:

    Modified squeeze-excite operation to accommodate tensors of undefined (Nonetype) H/W.

282028343  by Sergio Guadarrama:

    Add MobilenetV3 and MobilenetEdgeTPU to the slim/nets_factory.

PiperOrigin-RevId: 289455329
Co-authored-by: Sergio Guadarrama <sguada@gmail.com>

- Made code work with either TF v1.x or TF v2.x, while explicitly
  enabling v1.x behavior.l
- Pulled slim from tf_slim package instead of through tensorflow
  contrib. Note that tf_slim itself uses tensorflow contrib so
  it requires using TF v1.x for now (referenced a relevant PR
  which should remove this limitation once it gets merged).
- Removed all mention of scipy. Switched wav writing to soundfile.
- Switched package name to soundfile instead of pysoundfile. The
  former is the newer name.
- Updated installation instructions for both vggish and yamnet to
  reflect these changes.
- Tested new installation procedures. vggish works with TF v1.15,
  yamnet works with TF v1.15.0 as well as TF v2.1.0.

* 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.