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Add OpenCV cascade converter
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usr/cascade-bin.py
Executable file
78
usr/cascade-bin.py
Executable file
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#!/usr/bin/env python
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import sys
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import struct
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from xml.dom import minidom
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def print_help_exit():
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print "usage: cascade.py <cv_haar_cascade.xml> <num stages>"
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sys.exit(1)
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if len(sys.argv)!= 3:
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print_help_exit()
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n_stages = int(sys.argv[2])
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#parse xml file
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xmldoc = minidom.parse(sys.argv[1])
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# read stages
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stages = [len(t.childNodes)/2 for t in xmldoc.getElementsByTagName('trees')][0:n_stages]
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stage_threshold = xmldoc.getElementsByTagName('stage_threshold')[0:n_stages]
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# total number of features
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n_features = sum(stages)
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# read features threshold
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threshold = xmldoc.getElementsByTagName('threshold')[0:n_features]
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#theres one of each per feature
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alpha1 = xmldoc.getElementsByTagName('left_val')[0:n_features]
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alpha2 = xmldoc.getElementsByTagName('right_val')[0:n_features]
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#read rectangles
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feature = xmldoc.getElementsByTagName('rects')[0:n_features]
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fout = open("cascade.bin", "w")
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# write detection window size
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fout.write(struct.pack('i', 24)) #TODO hard coded fix
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fout.write(struct.pack('i', 24))
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# write num stages
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fout.write(struct.pack('i', len(stages)))
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# write num feat in stages
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for s in stages:
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fout.write(struct.pack('B', s)) # uint8_t
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# write stages thresholds
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for t in stage_threshold:
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fout.write(struct.pack('h', int(float(t.childNodes[0].nodeValue)*256))) #int16_t
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# write features threshold 1 per feature
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for t in threshold:
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fout.write(struct.pack('h', int(float(t.childNodes[0].nodeValue)*4096))) #int16_t
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# write alpha1 1 per feature
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for a in alpha1:
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fout.write(struct.pack('h', int(float(a.childNodes[0].nodeValue)*256))) #int16_t
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# write alpha2 1 per feature
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for a in alpha2:
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fout.write(struct.pack('h', int(float(a.childNodes[0].nodeValue)*256))) #int16_t
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# write num_rects per feature
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for f in feature:
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rects = f.getElementsByTagName('_')
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fout.write(struct.pack('B', len(rects))) # uint8_t
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# write rects weights 1 per rectangle
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for f in feature:
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rects = f.getElementsByTagName('_')
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for r in rects:
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l = map(int, r.childNodes[0].nodeValue[:-1].split())
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fout.write(struct.pack('b', l[4])) #int8_t
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# write rects
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for f in feature:
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rects = f.getElementsByTagName('_')
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for r in rects:
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l = map(int, r.childNodes[0].nodeValue[:-1].split())
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fout.write(struct.pack('BBBB',l[0], l[1], l[2], l[3])) #uint8_t
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