GitLab

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

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PiperOrigin-RevId: 275538818

* 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: 187042423

* Internal change.

PiperOrigin-RevId: 187072380

* Opensource float and eight-bit fixed-point mobilenet_v1 training and eval scripts.

PiperOrigin-RevId: 187106140

* Initial check-in for Mobilenet V2

PiperOrigin-RevId: 187213595

* Allow configuring batch normalization decay and epsilon in MobileNet v1

PiperOrigin-RevId: 187425294

* Allow overriding NASNet model HParams.

This is a change to the API that will allow users to pass in their own configs
to the building functions, which should make these APIs much more customizable
for end-user cases.

This change removes the use_aux_head argument from the model construction
functions, which is no longer necessary given that the use_aux_head option is
configurable in the model config. For example, for the mobile ImageNet model,
the auxiliary head can be disabled using:

config = nasnet.mobile_imagenet_config()
config.set_hparam('use_aux_head', 0)
logits, endpoints = nasnet.build_nasnet_mobile(
    inputs, num_classes, config=config)
PiperOrigin-RevId: 188617685

* Automated g4 rollback of changelist 188617685

PiperOrigin-RevId: 188619139

* Removes spurious comment

Some python files under models/research, it is wrong to use "Rather then" instead of "Rather than" in  comments.

* Merged commit includes the following changes:
186565198  by Sergio Guadarrama:

    Applied random_hsv_in_yiq in inception_preprocessing.

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186501039  by Sergio Guadarrama:

    Applied random_hsv_in_yiq in inception_preprocessing.

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186013907  by Sergio Guadarrama:

    Internal change

185715309  by Sergio Guadarrama:

    Obviates the need for prepadding on mobilenet v1 and v2 for fully convolutional models.

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184266252  by Sergio Guadarrama:

    Give build_nasnet_*() functions an optional flag use_aux_head,
    and add an internal-only arg scope to NasNetA*Cell._apply_drop_path().

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183865228  by Sergio Guadarrama:

    Internal change

179580924  by Sergio Guadarrama:

    Internal change

177320302  by Sergio Guadarrama:

    Internal change

177130184  by Sergio Guadarrama:

    Make slim nets tests faster by using smaller examples of oversized inputs.

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176965289  by Sergio Guadarrama:

    Internal change

176585260  by Sergio Guadarrama:

    Internal change

176534973  by Sergio Guadarrama:

    Internal change

175526881  by Sergio Guadarrama:

    Internal change

174967704  by Sergio Guadarrama:

    Treat num_classes=0 same as None in a few slim nets overlooked by the recent
    change.

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174443227  by Sergio Guadarrama:

    Internal change

174281864  by Sergio Guadarrama:

    Internal change

174249903  by Sergio Guadarrama:

    Fix nasnet image classification and object detection by moving the option to turn ON or OFF batch norm training into it's own arg_scope used only by detection

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173954505  by Sergio Guadarrama:

    Merge pull request #2651 from sguada/tmp1

    Fixes imports

    Closes #2636

    ORIGINAL_AUTHOR=Jon Shlens <shlens@users.noreply.github.com>
    COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/models/pull/2636 from tensorflow:sguada-patch-1 19ff570f52df5ab655c00fb439129b201c5f2dce

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173928094  by Sergio Guadarrama:

    Remove pending imports

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PiperOrigin-RevId: 186565198

* Remove internal links.

Includes new gan nets.

Inclues new NasNet models.

PiperOrigin-RevId: 173772097

Corrected documentation word "cropt" -> "crop"