59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
#!/usr/bin/env python
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def substitute(cv, output_dir):
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# setup the template engine
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template_dir = os.path.join(os.path.dirname(__file__), 'templates')
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jtemplate = Environment(loader=FileSystemLoader(template_dir), trim_blocks=True, lstrip_blocks=True)
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# add the filters
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jtemplate.filters['cellarray'] = cellarray
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jtemplate.filters['split'] = split
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jtemplate.filters['csv'] = csv
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# load the template
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template = jtemplate.get_template('template_cvmex_base.m')
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# create the build directory
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output_dir = output_dir+'/+cv'
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if not os.path.isdir(output_dir):
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os.mkdir(output_dir)
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# populate template
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populated = template.render(cv=cv, time=time)
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with open(os.path.join(output_dir, 'mex.m'), 'wb') as f:
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f.write(populated)
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if __name__ == "__main__":
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"""
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Usage: python cvmex.py --opts [-list -of -opts]
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--include_dirs [-list -of -opencv_include_directories]
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--lib_dir opencv_lib_directory
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--libs [-lopencv_core -lopencv_imgproc ...]
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--flags [-Wall -opencv_build_flags ...]
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--outdir /path/to/generated/output
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cvmex.py generates a custom mex compiler that automatically links OpenCV
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libraries to built sources where appropriate. The calling syntax is the
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same as the builtin mex compiler, with added cv qualification:
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>> cv.mex(..., ...);
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"""
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# parse the input options
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import sys, re, os, time
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from argparse import ArgumentParser
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parser = ArgumentParser()
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parser.add_argument('--opts')
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parser.add_argument('--include_dirs')
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parser.add_argument('--lib_dir')
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parser.add_argument('--libs')
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parser.add_argument('--flags')
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parser.add_argument('--outdir')
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cv = parser.parse_args()
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from filters import *
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from jinja2 import Environment, FileSystemLoader
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# populate the mex base template
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substitute(cv, cv.outdir)
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