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Adds customization options to the segmentation models and other improvements #263
Commits on Jan 17, 2021
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uses model.fit instead of model.fit_generator
this is the newer version of fit_generator and should be used instead
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uses the newer SegmentationMapsOnImage instead of the depricated Segm…
…entationMapOnImage removed now unecessary nb_classes and replaced get_arr_int(), with get_arr()
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added the ability to use custom augment functions
just need to pass in the function in the cusomt_augmentation argument
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Revert "replace deprecated augmentation functions"
This reverts commit d1d3935.
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made makedirs backwards compatible with Python 2.7
(even though there should be no need to)
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Revert "Revert "replace deprecated augmentation functions""
This reverts commit dbecfc0.
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Revert "updates tensorflow base dependency"
This reverts commit 7dea6be.
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added python 2 backwards compatiblity for checkpoint callback
(though this should not be needed)
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adds the ability when vizualizing dataset to set the augmentation typ…
…e and image size
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added expect_partial to remove annoying warning messages
these messages appear due to loading checkpoints but not using all the data
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Commits on Jan 18, 2021
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moved test image generation to setup and created custom augmention wi…
…th multi images test
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made testing with multi input data generation more complex
added new folder and new test images for testing harder
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in python 2.7 itertools.cycle seesm to give an infinite loop, so removed convoluted cycle and just use image seg pairs to get things to work
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Commits on Jan 20, 2021
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Added failsafe when loading from imagenet pretrained network
in case the first layer was modified
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