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Starting to flesh out the python interface documentation a little more.
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@ -4,6 +4,12 @@
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# The macro takes the module name as its first argument and then a list of
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# source files to compile into the module. See ../tools/python/CMakeLists.txt
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# for an example.
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#
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# It also sets up a macro called install_${module_name}_to() where
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# ${module_name} is whatever you named your module. This install_*_to() macro
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# takes a folder name and creates an install target that will copy the compiled
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# python module to that folder when you run "make install". Note that the path
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# given to install_*_to() is relative to your CMakeLists.txt file.
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set(CMAKE_PREFIX_PATH ${CMAKE_PREFIX_PATH}
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"C:/Program Files (x86)/boost/boost_1_*"
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@ -54,5 +60,15 @@ macro(add_python_module module_name module_sources )
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OUTPUT_NAME ${module_name}
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)
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endif()
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macro(install_${module_name}_to path)
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# Determine the path to our CMakeLists.txt file.
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string(REPLACE "CMakeLists.txt" "" base_path ${CMAKE_CURRENT_LIST_FILE})
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INSTALL(TARGETS ${module_name}_
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LIBRARY DESTINATION ${base_path}/${path}
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)
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endmacro()
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endmacro()
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4
python_examples/compile_dlib_python_module.bat
Executable file
4
python_examples/compile_dlib_python_module.bat
Executable file
@ -0,0 +1,4 @@
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mkdir build
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cd build
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cmake ../../tools/python
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cmake --build . --config Release --target install
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73
python_examples/sequence_segmenter.py
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73
python_examples/sequence_segmenter.py
Normal file
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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]
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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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@ -15,3 +15,5 @@ add_python_module(dlib
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src/cca.cpp
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src/sequence_segmenter.cpp
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)
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install_dlib_to(../../python_examples)
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