Add output generation for histograms.
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1 changed files with 19 additions and 1 deletions
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@ -104,6 +104,7 @@ def skeleton_to_csv(skeleton, output_path):
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f.write("P0 - x, P0 - y, P0 - z, P1 - x, P1 - y, P1 - z, diameter")
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for _, _, branch in skeleton.skeleton_branch_iter():
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print ('length', branch.length)
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for idx, p1 in enumerate(branch.points):
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if idx > 0:
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p0 = branch.points[idx-1]
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@ -112,6 +113,21 @@ def skeleton_to_csv(skeleton, output_path):
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f.write(p0_s + "," + p1_s + "," + str(branch.diameter) + "\n")
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f.close()
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def skeleton_lengths(skeleton, output_path):
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"""
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Convert the skeleton's network description to csv format
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"""
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# if os.path.isabs(output_path) and not os.path.exists(output_path):
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# os.makedirs(output_path)
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f = open(output_path, "w")
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for _, _, branch in skeleton.skeleton_branch_iter():
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f.write(str(branch.length) + "," + str(branch.diameter) + "\n")
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f.close()
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if __name__ == "__main__":
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@ -129,8 +145,10 @@ if __name__ == "__main__":
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args = parser.parse_args()
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skeleton = load_skeleton(args.input)
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print(skeleton.pix_dim)
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if "csv" in args.format:
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skeleton_to_csv(skeleton, args.output)
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skeleton_lengths(skeleton, args.output)
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#skeleton_to_csv(skeleton, args.output)
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elif "mat" in args.format:
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skeleton_to_matlab(skeleton, args.field, args.output)
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