2013-05-27 08:44:00 +08:00
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#!/usr/bin/python
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2013-05-27 08:45:16 +08:00
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# The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt
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2013-05-27 08:44:00 +08:00
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#
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2013-05-27 08:45:16 +08:00
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#
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2013-05-27 02:21:02 +08:00
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# You need to compile the dlib python interface before you can use this
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# file. To do this, run compile_dlib_python_module.bat. You also need to
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# have the boost-python library installed. On Ubuntu, this can be done easily by running
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# the command: sudo apt-get install libboost-python-dev
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# asfd
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import dlib
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use_sparse_vects = False
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if use_sparse_vects:
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samples = dlib.sparse_vectorss()
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else:
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samples = dlib.vectorss()
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segments = dlib.rangess()
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if use_sparse_vects:
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inside = dlib.sparse_vector()
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outside = dlib.sparse_vector()
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inside.append(dlib.pair(0,1))
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outside.append(dlib.pair(1,1))
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else:
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inside = dlib.vector([0, 1])
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outside = dlib.vector([1, 0])
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samples.resize(2)
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segments.resize(2)
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samples[0].append(outside)
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samples[0].append(outside)
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samples[0].append(inside)
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samples[0].append(inside)
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samples[0].append(inside)
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samples[0].append(outside)
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samples[0].append(outside)
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samples[0].append(outside)
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segments[0].append(dlib.range(2,5))
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samples[1].append(outside)
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samples[1].append(outside)
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samples[1].append(inside)
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samples[1].append(inside)
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samples[1].append(inside)
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samples[1].append(inside)
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samples[1].append(outside)
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samples[1].append(outside)
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segments[1].append(dlib.range(2,6))
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params = dlib.segmenter_params()
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#params.be_verbose = True
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params.window_size = 1
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params.use_high_order_features = False
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params.C = 1
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print "params:", params
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df = dlib.train_sequence_segmenter(samples, segments, params)
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print len(df.segment_sequence(samples[0]))
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print df.segment_sequence(samples[0])[0]
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print df.weights
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#res = dlib.test_sequence_segmenter(df, samples, segments)
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res = dlib.cross_validate_sequence_segmenter(samples, segments, 2, params)
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print res
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