feature: Mosaic Augmentation #110
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Is this the same request as #21 ? |
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Yes, just saw it |
freedomtan
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freedomtan
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* Add unit/integration test for tf.distribute. * Fix format * Skip the test case for non-tf backend * Fix typo * Fix format and unit test context config. * Address review comments. * Add support for h5 weights loading. * Fix test * Add support for a -1 dimension in the `Reshape` operation. (keras-team#103) The code to compute the output shape is now shared between the `Reshape` operation and the `Reshape` layer. * Added ReLU activation layer (keras-team#104) * added relu * add relu * added correctness test * reformated * updates based on review * Fix docstring * Added R2score (keras-team#106) * Add meanX metrics * All regression metrics except for root mean squared error * Formatting issues * Add RootMeanSquaredError * Docstring spacing * Line too long fix * Add R2Score * Docstring fixes * Fix test * Fix tests * Adds RemoteMonitor Callback (keras-team#108) * Add Remote Monitor Callback * Add Remote Monitor Callback * Add Remote Monitor Callback * Add Remote Monitor * Add wrapper layer. * Add learning rate schedules (keras-team#102) * Add learning rate schedules * Some review comments * Use fancy new serialization tests * s/TensorFlow/backend in docstring * Update docstrings * More review comments * Added LeakyReLU activation layer (keras-team#109) * added LeakyReLu * update docstring * reformat * update config * updated test name * Fix docstrings * Fix init and update tests to import from correct path (keras-team#110) --------- Co-authored-by: Francois Chollet <francois.chollet@gmail.com> Co-authored-by: hertschuh <1091026+hertschuh@users.noreply.github.com> Co-authored-by: divyasreepat <divyashreepathihalli@gmail.com> Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com> Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com> Co-authored-by: Ian Stenbit <3072903+ianstenbit@users.noreply.github.com>
freedomtan
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Jul 20, 2023
…team#119) * Add unit/integration test for tf.distribute. * Fix format * Skip the test case for non-tf backend * Fix typo * Fix format and unit test context config. * Address review comments. * Add support for h5 weights loading. * Fix test * Add support for a -1 dimension in the `Reshape` operation. (keras-team#103) The code to compute the output shape is now shared between the `Reshape` operation and the `Reshape` layer. * Added ReLU activation layer (keras-team#104) * added relu * add relu * added correctness test * reformated * updates based on review * Fix docstring * Added R2score (keras-team#106) * Add meanX metrics * All regression metrics except for root mean squared error * Formatting issues * Add RootMeanSquaredError * Docstring spacing * Line too long fix * Add R2Score * Docstring fixes * Fix test * Fix tests * Adds RemoteMonitor Callback (keras-team#108) * Add Remote Monitor Callback * Add Remote Monitor Callback * Add Remote Monitor Callback * Add Remote Monitor * Add wrapper layer. * Add learning rate schedules (keras-team#102) * Add learning rate schedules * Some review comments * Use fancy new serialization tests * s/TensorFlow/backend in docstring * Update docstrings * More review comments * Added LeakyReLU activation layer (keras-team#109) * added LeakyReLu * update docstring * reformat * update config * updated test name * Fix docstrings * Fix init and update tests to import from correct path (keras-team#110) * Add distribute support for tensorflow trainer. * Revert the previous merge edit. * Fix lint issue * Address review comments. * Add TPU strategy support * Fix lint --------- Co-authored-by: Francois Chollet <francois.chollet@gmail.com> Co-authored-by: hertschuh <1091026+hertschuh@users.noreply.github.com> Co-authored-by: divyasreepat <divyashreepathihalli@gmail.com> Co-authored-by: Gabriel Rasskin <43894452+grasskin@users.noreply.github.com> Co-authored-by: Ramesh Sampath <1437573+sampathweb@users.noreply.github.com> Co-authored-by: Ian Stenbit <3072903+ianstenbit@users.noreply.github.com>
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Hey,
I was thinking to add mosaic augmentation as a layer.
I have built this augmentation for google automl project
link: https://github.com/google/automl/blob/master/efficientdet/aug/mosaic.py
@LukeWood please have a look
Thanks
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