mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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63 lines
2.1 KiB
63 lines
2.1 KiB
#!/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 --jinja2 /path/to/jinja2/engine |
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--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('--jinja2') |
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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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# add jinja to the path |
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sys.path.append(cv.jinja2) |
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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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