GitLab

PiperOrigin-RevId: 188061451

PiperOrigin-RevId: 187941168

Modify the preprocessor proto and preprocessor_builder to match the arguments of the ssd_random_crop_pad_fixed_aspect_ratio preprocessor method.

PiperOrigin-RevId: 187877915

PiperOrigin-RevId: 187744580

PiperOrigin-RevId: 187693682

PiperOrigin-RevId: 187677107

Replace the kernel error message with op error message. https://github.com/tensorflow/tensorflow/pull/16890 added a new check in the op.

PiperOrigin-RevId: 187665000

PiperOrigin-RevId: 187527188

PiperOrigin-RevId: 187432991

Updating trainer so that train config parameter `load_all_detection_checkpoint_vars` is used in restore_map.

PiperOrigin-RevId: 187403903

PiperOrigin-RevId: 187397387

187187978  by Zhichao Lu:

    Only updating hyperparameters if they have non-null values.

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187097690  by Zhichao Lu:

    Rewrite some conditions a bit more clearly.

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187085190  by Zhichao Lu:

    More informative error message.

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186935376  by Zhichao Lu:

    Added option to evaluator.evaluate to use custom evaluator objects.

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186808249  by Zhichao Lu:

    Fix documentation re: number of stages.

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186775014  by Zhichao Lu:

    Change anchor generator interface to return a list of BoxLists containing anchors for different feature map layers.

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186729028  by Zhichao Lu:

    Minor fixes to object detection.

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186723716  by Zhichao Lu:

    Fix tf_example_decoder.py initailization issue.

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186668505  by Zhichao Lu:

    Remove unused import.

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186475361  by Zhichao Lu:

    Update the box predictor interface to return list of predictions - one from each feature map - instead of stacking them into one large tensor.

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186410844  by Zhich...

* 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.

mobilenet_v1 train and eval script and quantization support.

Corrected number of shots in research/learning_to_remember_rare_events/train.py (method Trainer.run)

Fix extra -- when not using the bazel command line.

* ENH: Modified autoencoder to accept multilayer autoencoders

* ENH: Modified autoencoder to accept multilayer autoencoders

* Cleanup of commented code.

Delete "tutorials/rnn/translate" 

__rgb_resnet_v2_50_path__ is defined on line 28.

PiperOrigin-RevId: 186781401

Fix github issue #3269 where the accuracy is wrongly underestimated for binary classification and build issue #2784

Move gen_data and gen_vocab to parent directory to prevent import madness in the open-source code. Remove unnecessary bazel dependency and documentation in README.

PiperOrigin-RevId: 186638059

Fix license text

Seems like it was changed accidentally as it is different than any of the other files.

PiperOrigin-RevId: 186541910

Internal changes for object detection.

Fix PythonPath dependencies

PiperOrigin-RevId: 186265033

Merging in improvements and fixes to adversarial_text