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"""
This script will compare tho images and decides with a threshold
if these to images are "equal enough"
"""
# import the necessary things for OpenCV
from cv import *
from highgui import *
import frames
import sys
import os
PREFIX=os.path.join(os.environ["srcdir"],"../../opencv_extra/testdata/python/images/")
DisplayImages=False
if DisplayImages:
videowindow="video"
referencewindow="reference"
cvNamedWindow(videowindow,CV_WINDOW_AUTOSIZE)
cvNamedWindow(referencewindow,CV_WINDOW_AUTOSIZE)
# returns True/False if match/non-match
def match( image, index, thres ):
# load image from comparison set
QCIFcompare=cvLoadImage(PREFIX+frames.QCIF[index])
if QCIFcompare is None:
print "Couldn't open image "+PREFIX+frames.QCIF[index]+" for comparison!"
sys.exit(1)
# resize comparison image to input image dimensions
size=cvSize(image.width,image.height)
compare=cvCreateImage(size,IPL_DEPTH_8U,image.nChannels)
cvResize(QCIFcompare,compare)
# compare images
diff=cvNorm( image, compare, CV_RELATIVE_L2 )
if DisplayImages:
cvShowImage(videowindow,image)
cvShowImage(referencewindow,compare)
if diff<=thres:
cvWaitKey(200)
else:
print "index==",index,": max==",thres," is==",diff
cvWaitKey(5000)
cvReleaseImage(QCIFcompare)
cvReleaseImage(compare)
if diff<=thres:
return True
else:
return False
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