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Finds and saves center of faces Uses most probable face as input Video generation to be implemented Picture cropping to be implemented, V0 should be finished ! Signed-off-by: julien Lengrand-Lambert <julien@lengrand.fr>
40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
'''
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Created on 30 mars 2012
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@author: jll
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'''
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import cv
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import os
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class FaceParams(object):
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'''
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Simple class used to store parameters used for Face detection
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'''
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def __init__(self, xml_folder, i_scale=2, h_scale=1.2, h_flags=0, mn=2):
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'''
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Constructor
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'''
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# Setting up some default parameters for Face Detection
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self.face_cascade = cv.Load(os.path.join(xml_folder, "haarcascade_frontalface_alt.xml"))
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self.eye_cascade = cv.Load(os.path.join(xml_folder, "haarcascade_eye.xml"))
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# To be defined more precisely
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self.min_size = (20,20)
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self.image_scale = i_scale
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self.haar_scale = h_scale
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self.min_neighbors = mn
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self.haar_flags = h_flags
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def __str__(self):
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"""
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More convenient print method
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"""
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print "---------"
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print "Selected parameters for Face Detection:"
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print "Selected cascade for Face detection : %s" % ("haarcascade_frontalface_alt")
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print "Minimum Size (x, y): %d" % (self.min_size[0], self.min_size[1])
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print "Image scaling: %d, %d)" % (self.image_scale)
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print "Haar scaling: %f" % (self.haar_scale)
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print "Number of Haar flags: %d" % (self.haar_flags)
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print "Minimum number of neighbors: %d" % (self.min_neighbors)
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print "---------" |