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Fix broken GitHub links in tensorflow and tensorflow_models resulting from The Great Models Move (a.k.a. the research subfolder)

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PiperOrigin-RevId: 169763373
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Neal Wu 2017-09-22 18:18:29 -07:00 committed by TensorFlower Gardener
parent b1ada5f0c7
commit 1b94147dc9
4 changed files with 5 additions and 5 deletions
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2
tensorflow/contrib/receptive_field/README.md
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@ -38,7 +38,7 @@ models are available to you. This can be done in three simple commands:
```sh ```sh
git clone https://github.com/tensorflow/models git clone https://github.com/tensorflow/models
cd models/slim cd models/research/slim
sudo python setup.py install_lib sudo python setup.py install_lib
``` ```

4
tensorflow/contrib/signal/python/kernel_tests/mel_ops_test.py
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@ -33,7 +33,7 @@ def hertz_to_mel(frequencies_hertz):
"""Convert frequencies to mel scale using HTK formula. """Convert frequencies to mel scale using HTK formula.
Copied from Copied from
https://github.com/tensorflow/models/blob/master/audioset/mel_features.py. https://github.com/tensorflow/models/blob/master/research/audioset/mel_features.py.
Args: Args:
frequencies_hertz: Scalar or np.array of frequencies in hertz. frequencies_hertz: Scalar or np.array of frequencies in hertz.
@ -54,7 +54,7 @@ def spectrogram_to_mel_matrix(num_mel_bins=20,
"""Return a matrix that can post-multiply spectrogram rows to make mel. """Return a matrix that can post-multiply spectrogram rows to make mel.
Copied from Copied from
https://github.com/tensorflow/models/blob/master/audioset/mel_features.py. https://github.com/tensorflow/models/blob/master/research/audioset/mel_features.py.
Returns a np.array matrix A that can be used to post-multiply a matrix S of Returns a np.array matrix A that can be used to post-multiply a matrix S of
spectrogram values (STFT magnitudes) arranged as frames x bins to generate a spectrogram values (STFT magnitudes) arranged as frames x bins to generate a

2
tensorflow/examples/android/src/org/tensorflow/demo/TensorFlowObjectDetectionAPIModel.java
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@ -35,7 +35,7 @@ import org.tensorflow.demo.env.Logger;
/** /**
* Wrapper for frozen detection models trained using the Tensorflow Object Detection API: * Wrapper for frozen detection models trained using the Tensorflow Object Detection API:
* github.com/tensorflow/models/tree/master/object_detection * github.com/tensorflow/models/tree/master/research/object_detection
*/ */
public class TensorFlowObjectDetectionAPIModel implements Classifier { public class TensorFlowObjectDetectionAPIModel implements Classifier {
private static final Logger LOGGER = new Logger(); private static final Logger LOGGER = new Logger();

2
tensorflow/python/keras/_impl/keras/applications/mobilenet.py
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@ -57,7 +57,7 @@ the 100 % MobileNet on various input sizes:
The weights for all 16 models are obtained and translated The weights for all 16 models are obtained and translated
from Tensorflow checkpoints found at from Tensorflow checkpoints found at
https://github.com/tensorflow/models/blob/master/slim/nets/mobilenet_v1.md https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md
# Reference # Reference
- [MobileNets: Efficient Convolutional Neural Networks for - [MobileNets: Efficient Convolutional Neural Networks for