cdips

Data in training.bin includes

Load with: training = pd.read_msgpack('training.bin’)

Columns: 'subject', 'img', 'pixels', 'maskArea', # number of pixels ’maskC', # center of mask ’maskS', # singular values ’maskV', # rotation matrix 'maskContour' # outline of maskArea

Name		Name	Last commit message	Last commit date
Latest commit History 164 Commits
aws_fcn_model		aws_fcn_model
fcn-model		fcn-model
fcn_model		fcn_model
old		old
pruned_fcn_model		pruned_fcn_model
training_code_mnist		training_code_mnist
InteractiveImages.ipynb		InteractiveImages.ipynb
Mask PCA.ipynb		Mask PCA.ipynb
MasterPlan.ipynb		MasterPlan.ipynb
ModifySaveTrainingBin.ipynb		ModifySaveTrainingBin.ipynb
OutputTest.ipynb		OutputTest.ipynb
README.md		README.md
SetupModel.ipynb		SetupModel.ipynb
TestingTrains.ipynb		TestingTrains.ipynb
ValidationPredictions.ipynb		ValidationPredictions.ipynb
__init__.py		__init__.py
bottleneck_create_files.ipynb		bottleneck_create_files.ipynb
bottleneck_debug.ipynb		bottleneck_debug.ipynb
bottlenecking.py		bottlenecking.py
build_test_bottlenecks.py		build_test_bottlenecks.py
center-nn-with-test.ipynb		center-nn-with-test.ipynb
center_nn.ipynb		center_nn.ipynb
clustering_patches.ipynb		clustering_patches.ipynb
edges.ipynb		edges.ipynb
fcn_eval.py		fcn_eval.py
model.sample.py		model.sample.py
patch_nn.ipynb		patch_nn.ipynb
predicted_masks.ipynb		predicted_masks.ipynb
sampling_patches.ipynb		sampling_patches.ipynb
settings.sample.py		settings.sample.py
training.bin		training.bin
trainvalidate.bin		trainvalidate.bin
uns.py		uns.py
utils.py		utils.py

vassiliou/uns

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cdips

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