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2 parents 3164ba5 + d3ee728 commit 5841297Copy full SHA for 5841297
docs/source/tutorials/mito.rst
@@ -23,7 +23,6 @@ The scripts needed for this tutorial can be found at ``pytorch_connectomics/scri
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A benchmark model's qualitative results on the Lucchi dataset, presented without any post-processing
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-! rm -r sample_data
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1 - Get the data
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^^^^^^^^^^^^^^^^
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@@ -192,7 +191,8 @@ The post-processing step requires merging output volumes and applying watershed
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output_files = 'outputs/MitoEM_R_BC/test/*.h5' # output folder with chunks
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chunks = glob.glob(output_files)
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-Mitochondria Segmentatio
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+ # Mitochondria Segmentation
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vol_shape = (2, 500, 4096, 4096) # MitoEM test set
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pred = np.ones(vol_shape, dtype=np.uint8)
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for x in chunks:
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