import cv
filename = "burke94.jpg" # replace w/ your filename
grayImage = cv.LoadImage(filename, 2)
eigImage = cv.CreateImage(cv.GetSize(grayImage), cv.IPL_DEPTH_32F, 1)
tempImage = cv.CreateImage(cv.GetSize(grayImage), cv.IPL_DEPTH_32F, 1)
cornerMem = []
cornerCount = 300
qualityLevel = 0.1
minDistance = 5
cornerMem = cv.GoodFeaturesToTrack(grayImage, eigImage, tempImage, cornerCount, qualityLevel, minDistance, None, 3, False)
print len(cornerMem), " corners found"
print cornerMem
for point in cornerMem:
center = int(point[0]), int(point[1])
cv.Circle(colorImage, (center), 2, (0,255,255))
cv.SaveImage("savedcolor.jpg",colorImage)
Tuesday, October 12, 2010
Good Features to Track using OpenCV and Python
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Unfortunately, the codes does not compile. colorImage is not defined.
ReplyDeleteOh dear, I just realized that. GFtT works on grayscale image converted from the original color image. The pointer colorImage should point to a copy of the original image. If the statement colorImage = cv.LoadImage(filename, ??) is inserted as Line 2 it should work but I'm not working with OpenCV at the moment to find the exact value for the second paramete.
ReplyDeleteThanks for the code. It works if you add this:
ReplyDeleteimport cv
filename = "lenna.png" # replace w/ your filename
colorImage = cv.LoadImage(filename, cv.CV_LOAD_IMAGE_COLOR) #additional line
grayImage = cv.LoadImage(filename, cv.CV_LOAD_IMAGE_GRAYSCALE) #optional, I just change it slightly to match up the top part
eigImage = cv.CreateImage(cv.GetSize(grayImage), cv.IPL_DEPTH_32F, 1)
tempImage = cv.CreateImage(cv.GetSize(grayImage), cv.IPL_DEPTH_32F, 1)