trainModels.zip
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__MACOSX
trainModels
._.DS_Store
120 Bytes
._evaluateBoundary.py
587 Bytes
._evaluateDivision.py
587 Bytes
._evaluateTissue.py
585 Bytes
._testingUNetBoundary.ipynb
593 Bytes
._testingUNetCellDivision10_Orientation.ipynb
611 Bytes
._testingUNetCellDivision3.ipynb
598 Bytes
._testingUNetTissue.ipynb
591 Bytes
._trainingUNetBoundary.ipynb
594 Bytes
._trainingUNetCellDivision10.ipynb
600 Bytes
._trainingUNetCellDivision3.ipynb
599 Bytes
._trainingUNetOrientation.ipynb
597 Bytes
._trainingUNetTissue.ipynb
648 Bytes
._venv
163 Bytes
dat_boundary
._.DS_Store
120 Bytes
._test_images
163 Bytes
._test_masks
163 Bytes
._train_images
163 Bytes
._train_masks
163 Bytes
._val_images
163 Bytes
._val_masks
163 Bytes
test_ground_truth
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120 Bytes
._mask_48.tif
163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
._mask_58.tif
163 Bytes
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163 Bytes
test_images
._img_192.tif
163 Bytes
._img_193.tif
163 Bytes
._img_194.tif
163 Bytes
._img_195.tif
163 Bytes
._img_196.tif
163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
._img_223.tif
163 Bytes
._img_224.tif
163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
._img_236.tif
163 Bytes
._img_237.tif
163 Bytes
._img_238.tif
163 Bytes
._img_239.tif
163 Bytes
test_masks
._mask_192.tif
163 Bytes
._mask_193.tif
163 Bytes
._mask_194.tif
163 Bytes
._mask_195.tif
163 Bytes
._mask_196.tif
163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
._mask_236.tif
163 Bytes
._mask_237.tif
163 Bytes
._mask_238.tif
163 Bytes
._mask_239.tif
163 Bytes
test_watershed
._.DS_Store
120 Bytes
._landscape_48
163 Bytes
._landscape_49
163 Bytes
._landscape_50
163 Bytes
._landscape_51
163 Bytes
._landscape_52
163 Bytes
._landscape_53
163 Bytes
._landscape_54
163 Bytes
._landscape_55
163 Bytes
._landscape_56
163 Bytes
._landscape_57
163 Bytes
._landscape_58
163 Bytes
._landscape_59
163 Bytes
train_images
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163 Bytes
._img_1.tif
163 Bytes
._img_10.tif
163 Bytes
._img_100.tif
163 Bytes
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163 Bytes
._img_96.tif
163 Bytes
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163 Bytes
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163 Bytes
._img_99.tif
163 Bytes
train_masks
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163 Bytes
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163 Bytes
._mask_10.tif
163 Bytes
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163 Bytes
._mask_108.tif
163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
._mask_92.tif
163 Bytes
._mask_98.tif
163 Bytes
._mask_99.tif
163 Bytes
val_images
._img_144.tif
163 Bytes
._img_145.tif
163 Bytes
._img_146.tif
163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
._img_189.tif
163 Bytes
._img_190.tif
163 Bytes
._img_191.tif
163 Bytes
val_masks
._mask_144.tif
163 Bytes
._mask_145.tif
163 Bytes
._mask_146.tif
163 Bytes
._mask_147.tif
163 Bytes
._mask_148.tif
163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
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163 Bytes
._mask_188.tif
163 Bytes
._mask_189.tif
163 Bytes
._mask_190.tif
163 Bytes
._mask_191.tif
163 Bytes
dat_division
._.DS_Store
120 Bytes
._dat_test
163 Bytes
._divisionData
163 Bytes
._divisionData3
163 Bytes
dat_orientation
._.DS_Store
120 Bytes
._train_images
163 Bytes
._train_masks
163 Bytes
._val_images
163 Bytes
._val_masks
163 Bytes
dat_tissue
._.DS_Store
120 Bytes
._test_images
176 Bytes
._test_masks
176 Bytes
._train_images
163 Bytes
._train_masks
163 Bytes
._val_images
163 Bytes
._val_masks
163 Bytes
databases
._dfConfusionBoundary.pkl
163 Bytes
._dfConfusionDivisionsTest.pkl
163 Bytes
models
._.DS_Store
120 Bytes
._UNetBoundary.pth
176 Bytes
._UNetCellDivision10.pth.tar
176 Bytes
._UNetOrientation.pth.tar
176 Bytes
._UNetTissue.pth
176 Bytes
._ecadModel
176 Bytes
._outPlaneModel
176 Bytes
results
._displayCon_101.tif
163 Bytes
._imgLabelDL_101.tif
163 Bytes
._imgLabelGT.tif
163 Bytes
._orientationError test data.png
276 Bytes
venv
._bin
163 Bytes
._include
163 Bytes
._lib
163 Bytes
._pyvenv.cfg
163 Bytes
._share
163 Bytes
trainModels
.DS_Store
8.2 kB
.vscode
launch.json
473 Bytes
dat_boundary
.DS_Store
8.2 kB
test_ground_truth
.DS_Store
6.1 kB
mask_48.tif
1.0 MB
mask_49.tif
1.0 MB
mask_50.tif
1.0 MB
mask_51.tif
1.0 MB
mask_52.tif
1.0 MB
mask_53.tif
1.0 MB
mask_54.tif
1.0 MB
mask_55.tif
1.0 MB
mask_56.tif
1.0 MB
mask_57.tif
1.0 MB
mask_58.tif
1.0 MB
mask_59.tif
1.0 MB
test_images
img_192.tif
786.7 kB
img_193.tif
786.7 kB
img_194.tif
786.7 kB
img_195.tif
786.7 kB
img_196.tif
786.7 kB
img_197.tif
786.7 kB
img_198.tif
786.7 kB
img_199.tif
786.7 kB
img_200.tif
786.7 kB
img_201.tif
786.7 kB
img_202.tif
786.7 kB
img_203.tif
786.7 kB
img_204.tif
786.7 kB
img_205.tif
786.7 kB
img_206.tif
786.7 kB
img_207.tif
786.7 kB
img_208.tif
786.7 kB
img_209.tif
786.7 kB
img_210.tif
786.7 kB
img_211.tif
786.7 kB
img_212.tif
786.7 kB
img_213.tif
786.7 kB
img_214.tif
786.7 kB
img_215.tif
786.7 kB
img_216.tif
786.7 kB
img_217.tif
786.7 kB
img_218.tif
786.7 kB
img_219.tif
786.7 kB
img_220.tif
786.7 kB
img_221.tif
786.7 kB
img_222.tif
786.7 kB
img_223.tif
786.7 kB
img_224.tif
786.7 kB
img_225.tif
786.7 kB
img_226.tif
786.7 kB
img_227.tif
786.7 kB
img_228.tif
786.7 kB
img_229.tif
786.7 kB
img_230.tif
786.7 kB
img_231.tif
786.7 kB
img_232.tif
786.7 kB
img_233.tif
786.7 kB
img_234.tif
786.7 kB
img_235.tif
786.7 kB
img_236.tif
786.7 kB
img_237.tif
786.7 kB
img_238.tif
786.7 kB
img_239.tif
786.7 kB
test_masks
mask_192.tif
262.4 kB
mask_193.tif
262.4 kB
mask_194.tif
262.4 kB
mask_195.tif
262.4 kB
mask_196.tif
262.4 kB
mask_197.tif
262.4 kB
mask_198.tif
262.4 kB
mask_199.tif
262.4 kB
mask_200.tif
262.4 kB
mask_201.tif
262.4 kB
mask_202.tif
262.4 kB
mask_203.tif
262.4 kB
mask_204.tif
262.4 kB
mask_205.tif
262.4 kB
mask_206.tif
262.4 kB
mask_207.tif
262.4 kB
mask_208.tif
262.4 kB
mask_209.tif
262.4 kB
mask_210.tif
262.4 kB
mask_211.tif
262.4 kB
mask_212.tif
262.4 kB
mask_213.tif
262.4 kB
mask_214.tif
262.4 kB
mask_215.tif
262.4 kB
mask_216.tif
262.4 kB
mask_217.tif
262.4 kB
mask_218.tif
262.4 kB
mask_219.tif
262.4 kB
mask_220.tif
262.4 kB
mask_221.tif
262.4 kB
mask_222.tif
262.4 kB
mask_223.tif
262.4 kB
mask_224.tif
262.4 kB
mask_225.tif
262.4 kB
mask_226.tif
262.4 kB
mask_227.tif
262.4 kB
mask_228.tif
262.4 kB
mask_229.tif
262.4 kB
mask_230.tif
262.4 kB
mask_231.tif
262.4 kB
mask_232.tif
262.4 kB
mask_233.tif
262.4 kB
mask_234.tif
262.4 kB
mask_235.tif
262.4 kB
mask_236.tif
262.4 kB
mask_237.tif
262.4 kB
mask_238.tif
262.4 kB
mask_239.tif
262.4 kB
test_watershed
.DS_Store
10.2 kB
landscape_48
landscape_49
landscape_50
landscape_51
landscape_52
landscape_53
landscape_54
landscape_55
landscape_56
landscape_57
landscape_58
landscape_59
train_images
img_0.tif
786.7 kB
img_1.tif
786.7 kB
img_10.tif
786.7 kB
img_100.tif
786.7 kB
img_101.tif
786.7 kB
img_102.tif
786.7 kB
img_103.tif
786.7 kB
img_104.tif
786.7 kB
img_105.tif
786.7 kB
img_106.tif
786.7 kB
img_107.tif
786.7 kB
img_108.tif
786.7 kB
img_109.tif
786.7 kB
img_11.tif
786.7 kB
img_110.tif
786.7 kB
img_111.tif
786.7 kB
img_112.tif
786.7 kB
img_113.tif
786.7 kB
img_114.tif
786.7 kB
img_115.tif
786.7 kB
img_116.tif
786.7 kB
img_117.tif
786.7 kB
img_118.tif
786.7 kB
img_119.tif
786.7 kB
img_12.tif
786.7 kB
img_120.tif
786.7 kB
img_121.tif
786.7 kB
img_122.tif
786.7 kB
img_123.tif
786.7 kB
img_124.tif
786.7 kB
img_125.tif
786.7 kB
img_126.tif
786.7 kB
img_127.tif
786.7 kB
img_128.tif
786.7 kB
img_129.tif
786.7 kB
img_13.tif
786.7 kB
img_130.tif
786.7 kB
img_131.tif
786.7 kB
img_132.tif
786.7 kB
img_133.tif
786.7 kB
img_134.tif
786.7 kB
img_135.tif
786.7 kB
img_136.tif
786.7 kB
img_137.tif
786.7 kB
img_138.tif
786.7 kB
img_139.tif
786.7 kB
img_14.tif
786.7 kB
img_140.tif
786.7 kB
img_141.tif
786.7 kB
img_142.tif
786.7 kB
img_143.tif
786.7 kB
img_15.tif
786.7 kB
img_16.tif
786.7 kB
img_17.tif
786.7 kB
img_18.tif
786.7 kB
img_19.tif
786.7 kB
img_2.tif
786.7 kB
img_20.tif
786.7 kB
img_21.tif
786.7 kB
img_22.tif
786.7 kB
img_23.tif
786.7 kB
img_24.tif
786.7 kB
img_25.tif
786.7 kB
img_26.tif
786.7 kB
img_27.tif
786.7 kB
img_28.tif
786.7 kB
img_29.tif
786.7 kB
img_3.tif
786.7 kB
img_30.tif
786.7 kB
img_31.tif
786.7 kB
img_32.tif
786.7 kB
img_33.tif
786.7 kB
img_34.tif
786.7 kB
img_35.tif
786.7 kB
img_36.tif
786.7 kB
img_37.tif
786.7 kB
img_38.tif
786.7 kB
img_39.tif
786.7 kB
img_4.tif
786.7 kB
img_40.tif
786.7 kB
img_41.tif
786.7 kB
img_42.tif
786.7 kB
img_43.tif
786.7 kB
img_44.tif
786.7 kB
img_45.tif
786.7 kB
img_46.tif
786.7 kB
img_47.tif
786.7 kB
img_48.tif
786.7 kB
img_49.tif
786.7 kB
img_5.tif
786.7 kB
img_50.tif
786.7 kB
img_51.tif
786.7 kB
img_52.tif
786.7 kB
img_53.tif
786.7 kB
img_54.tif
786.7 kB
img_55.tif
786.7 kB
img_56.tif
786.7 kB
img_57.tif
786.7 kB
img_58.tif
786.7 kB
img_59.tif
786.7 kB
img_6.tif
786.7 kB
img_60.tif
786.7 kB
img_61.tif
786.7 kB
img_62.tif
786.7 kB
img_63.tif
786.7 kB
img_64.tif
786.7 kB
img_65.tif
786.7 kB
img_66.tif
786.7 kB
img_67.tif
786.7 kB
img_68.tif
786.7 kB
img_69.tif
786.7 kB
img_7.tif
786.7 kB
img_70.tif
786.7 kB
img_71.tif
786.7 kB
img_72.tif
786.7 kB
img_73.tif
786.7 kB
img_74.tif
786.7 kB
img_75.tif
786.7 kB
img_76.tif
786.7 kB
img_77.tif
786.7 kB
img_78.tif
786.7 kB
img_79.tif
786.7 kB
img_8.tif
786.7 kB
img_80.tif
786.7 kB
img_81.tif
786.7 kB
img_82.tif
786.7 kB
img_83.tif
786.7 kB
img_84.tif
786.7 kB
img_85.tif
786.7 kB
img_86.tif
786.7 kB
img_87.tif
786.7 kB
img_88.tif
786.7 kB
img_89.tif
786.7 kB
img_9.tif
786.7 kB
img_90.tif
786.7 kB
img_91.tif
786.7 kB
img_92.tif
786.7 kB
img_93.tif
786.7 kB
img_94.tif
786.7 kB
img_95.tif
786.7 kB
img_96.tif
786.7 kB
img_97.tif
786.7 kB
img_98.tif
786.7 kB
img_99.tif
786.7 kB
train_masks
mask_0.tif
262.4 kB
mask_1.tif
262.4 kB
mask_10.tif
262.4 kB
mask_100.tif
262.4 kB
mask_108.tif
262.4 kB
mask_109.tif
262.4 kB
mask_11.tif
262.4 kB
mask_114.tif
262.4 kB
mask_118.tif
262.4 kB
mask_119.tif
262.4 kB
mask_12.tif
262.4 kB
mask_120.tif
262.4 kB
mask_121.tif
262.4 kB
mask_122.tif
262.4 kB
mask_123.tif
262.4 kB
mask_124.tif
262.4 kB
mask_125.tif
262.4 kB
mask_126.tif
262.4 kB
mask_127.tif
262.4 kB
mask_128.tif
262.4 kB
mask_13.tif
262.4 kB
mask_130.tif
262.4 kB
mask_131.tif
262.4 kB
mask_132.tif
262.4 kB
mask_133.tif
262.4 kB
mask_134.tif
262.4 kB
mask_135.tif
262.4 kB
mask_136.tif
262.4 kB
mask_137.tif
262.4 kB
mask_14.tif
262.4 kB
mask_140.tif
262.4 kB
mask_141.tif
262.4 kB
mask_142.tif
262.4 kB
mask_143.tif
262.4 kB
mask_15.tif
262.4 kB
mask_16.tif
262.4 kB
mask_17.tif
262.4 kB
mask_2.tif
262.4 kB
mask_28.tif
262.4 kB
mask_29.tif
262.4 kB
mask_3.tif
262.4 kB
mask_38.tif
262.4 kB
mask_39.tif
262.4 kB
mask_4.tif
262.4 kB
mask_45.tif
262.4 kB
mask_48.tif
262.4 kB
mask_49.tif
262.4 kB
mask_5.tif
262.4 kB
mask_51.tif
262.4 kB
mask_58.tif
262.4 kB
mask_59.tif
262.4 kB
mask_6.tif
262.4 kB
mask_60.tif
262.4 kB
mask_61.tif
262.4 kB
mask_62.tif
262.4 kB
mask_63.tif
262.4 kB
mask_64.tif
262.4 kB
mask_65.tif
262.4 kB
mask_66.tif
262.4 kB
mask_67.tif
262.4 kB
mask_7.tif
262.4 kB
mask_70.tif
262.4 kB
mask_71.tif
262.4 kB
mask_72.tif
262.4 kB
mask_73.tif
262.4 kB
mask_74.tif
262.4 kB
mask_75.tif
262.4 kB
mask_76.tif
262.4 kB
mask_77.tif
262.4 kB
mask_79.tif
262.4 kB
mask_86.tif
262.4 kB
mask_87.tif
262.4 kB
mask_88.tif
262.4 kB
mask_89.tif
262.4 kB
mask_92.tif
262.4 kB
mask_98.tif
262.4 kB
mask_99.tif
262.4 kB
val_images
img_144.tif
786.7 kB
img_145.tif
786.7 kB
img_146.tif
786.7 kB
img_147.tif
786.7 kB
img_148.tif
786.7 kB
img_149.tif
786.7 kB
img_150.tif
786.7 kB
img_151.tif
786.7 kB
img_152.tif
786.7 kB
img_153.tif
786.7 kB
img_154.tif
786.7 kB
img_155.tif
786.7 kB
img_156.tif
786.7 kB
img_157.tif
786.7 kB
img_158.tif
786.7 kB
img_159.tif
786.7 kB
img_160.tif
786.7 kB
img_161.tif
786.7 kB
img_162.tif
786.7 kB
img_163.tif
786.7 kB
img_164.tif
786.7 kB
img_165.tif
786.7 kB
img_166.tif
786.7 kB
img_167.tif
786.7 kB
img_168.tif
786.7 kB
img_169.tif
786.7 kB
img_170.tif
786.7 kB
img_171.tif
786.7 kB
img_172.tif
786.7 kB
img_173.tif
786.7 kB
img_174.tif
786.7 kB
img_175.tif
786.7 kB
img_176.tif
786.7 kB
img_177.tif
786.7 kB
img_178.tif
786.7 kB
img_179.tif
786.7 kB
img_180.tif
786.7 kB
img_181.tif
786.7 kB
img_182.tif
786.7 kB
img_183.tif
786.7 kB
img_184.tif
786.7 kB
img_185.tif
786.7 kB
img_186.tif
786.7 kB
img_187.tif
786.7 kB
img_188.tif
786.7 kB
img_189.tif
786.7 kB
img_190.tif
786.7 kB
img_191.tif
786.7 kB
val_masks
mask_144.tif
262.4 kB
mask_145.tif
262.4 kB
mask_146.tif
262.4 kB
mask_147.tif
262.4 kB
mask_148.tif
262.4 kB
mask_149.tif
262.4 kB
mask_150.tif
262.4 kB
mask_151.tif
262.4 kB
mask_152.tif
262.4 kB
mask_153.tif
262.4 kB
mask_154.tif
262.4 kB
mask_155.tif
262.4 kB
mask_156.tif
262.4 kB
mask_157.tif
262.4 kB
mask_158.tif
262.4 kB
mask_159.tif
262.4 kB
mask_160.tif
262.4 kB
mask_161.tif
262.4 kB
mask_162.tif
262.4 kB
mask_163.tif
262.4 kB
mask_164.tif
262.4 kB
mask_165.tif
262.4 kB
mask_166.tif
262.4 kB
mask_167.tif
262.4 kB
mask_168.tif
262.4 kB
mask_169.tif
262.4 kB
mask_170.tif
262.4 kB
mask_171.tif
262.4 kB
mask_172.tif
262.4 kB
mask_173.tif
262.4 kB
mask_174.tif
262.4 kB
mask_175.tif
262.4 kB
mask_176.tif
262.4 kB
mask_177.tif
262.4 kB
mask_178.tif
262.4 kB
mask_179.tif
262.4 kB
mask_180.tif
262.4 kB
mask_181.tif
262.4 kB
mask_182.tif
262.4 kB
mask_183.tif
262.4 kB
mask_184.tif
262.4 kB
mask_185.tif
262.4 kB
mask_186.tif
262.4 kB
mask_187.tif
262.4 kB
mask_188.tif
262.4 kB
mask_189.tif
262.4 kB
mask_190.tif
262.4 kB
mask_191.tif
262.4 kB
dat_division
.DS_Store
6.1 kB
dat_test
divisionData
divisionData3
dat_orientation
.DS_Store
6.1 kB
train_images
train_masks
val_images
val_masks
dat_tissue
.DS_Store
6.1 kB
test_images
test_masks
test_output
train_images
train_masks
val_images
val_masks
databases
dfConfusionBoundary.pkl
300.5 kB
dfConfusionDivisionsTest.pkl
90.3 kB
dfConfusionTissue.pkl
6.5 kB
evaluateBoundary.py
8.2 kB
evaluateDivision.py
11.1 kB
evaluateTissue.py
1.1 kB
models
.DS_Store
6.1 kB
UNetBoundary.pth
5.8 GB
UNetCellDivision10.pth.tar
495.5 MB
UNetOrientation.pth.tar
495.5 MB
UNetTissue.pth
5.8 GB
ecadModel
outPlaneModel
results
displayCon_101.tif
37.8 MB
imgLabelDL_101.tif
2.1 MB
imgLabelGT.tif
2.1 MB
orientationError test data.png
28.6 kB
testingUNetBoundary.ipynb
11.3 kB
testingUNetCellDivision10_Orientation.ipynb
26.3 kB
testingUNetCellDivision3.ipynb
59.5 kB
testingUNetTissue.ipynb
42.8 kB
trainingUNetBoundary.ipynb
2.2 MB
trainingUNetCellDivision10.ipynb
71.6 kB
trainingUNetCellDivision3.ipynb
3.3 MB
trainingUNetOrientation.ipynb
42.3 kB
trainingUNetTissue.ipynb
2.1 MB
venv
bin
include
lib
pyvenv.cfg
325 Bytes
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