def findcontours(iplimage, threshold=100):
srcimage = opencv.cvCloneImage(iplimage)
# create the storage area and bw image
grayscale = opencv.cvCreateImage(opencv.cvGetSize(srcimage), 8, 1)
opencv.cvCvtColor(srcimage, grayscale, opencv.CV_BGR2GRAY)
# threshold
opencv.cvThreshold(grayscale, grayscale, threshold, 255, opencv.CV_THRESH_BINARY)
storage = opencv.cvCreateMemStorage(0)
opencv.cvClearMemStorage(storage)
# find the contours
nb_contours, contours = opencv.cvFindContours(grayscale, storage)
# comment this out if you do not want approximation
contours = opencv.cvApproxPoly(contours, opencv.sizeof_CvContour, storage, opencv.CV_POLY_APPROX_DP, 3, 1)
# next line is for ctypes-opencv
# contours = opencv.cvApproxPoly (contours, opencv.sizeof(opencv.CvContour), storage, opencv.CV_POLY_APPROX_DP, 3, 1)
conts = []
for cont in contours.hrange():
points = []
for pt in cont:
points.append((pt.x, pt.y))
conts.append(points)
opencv.cvReleaseMemStorage(storage)
opencv.cvReleaseImage(srcimage)
opencv.cvReleaseImage(grayscale)
return (nb_contours, conts)
def findcontours(iplimage, threshold=100):
srcimage = opencv.cvCloneImage(iplimage)
# create the storage area and bw image
grayscale = opencv.cvCreateImage(opencv.cvGetSize(srcimage), 8, 1)
opencv.cvCvtColor(srcimage, grayscale, opencv.CV_BGR2GRAY)
#threshold
opencv.cvThreshold(grayscale, grayscale, threshold, 255, opencv.CV_THRESH_BINARY)
storage = opencv.cvCreateMemStorage(0)
opencv.cvClearMemStorage(storage)
# find the contours
nb_contours, contours = opencv.cvFindContours (grayscale, storage)
# comment this out if you do not want approximation
contours = opencv.cvApproxPoly (contours, opencv.sizeof_CvContour, storage, opencv.CV_POLY_APPROX_DP, 3, 1)
# next line is for ctypes-opencv
#contours = opencv.cvApproxPoly (contours, opencv.sizeof(opencv.CvContour), storage, opencv.CV_POLY_APPROX_DP, 3, 1)
conts = []
for cont in contours.hrange():
points=[]
for pt in cont:
points.append((pt.x,pt.y))
conts.append(points)
opencv.cvReleaseMemStorage(storage)
opencv.cvReleaseImage(srcimage)
opencv.cvReleaseImage(grayscale)
return (nb_contours, conts)
def __init__(self, frame):
self.blob_image = opencv.cvCloneImage(frame.iplimage)
self.blob_gray = opencv.cvCreateImage(opencv.cvGetSize(self.blob_image), 8, 1)
self.blob_mask = opencv.cvCreateImage(opencv.cvGetSize(self.blob_image), 8, 1)
opencv.cvSet(self.blob_mask, 1)
opencv.cvCvtColor(self.blob_image, self.blob_gray, opencv.CV_BGR2GRAY)
# opencv.cvEqualizeHist(self.blob_gray, self.blob_gray)
# opencv.cvThreshold(self.blob_gray, self.blob_gray, frame.thresh, 255, opencv.CV_THRESH_BINARY)
# opencv.cvThreshold(self.blob_gray, self.blob_gray, frame.thresh, 255, opencv.CV_THRESH_TOZERO)
opencv.cvThreshold(self.blob_gray, self.blob_gray, frame.bthresh, 255, frame.bthreshmode)
# opencv.cvAdaptiveThreshold(self.blob_gray, self.blob_gray, 255, opencv.CV_ADAPTIVE_THRESH_MEAN_C, opencv.CV_THRESH_BINARY_INV)
self._frame_blobs = CBlobResult(self.blob_gray, self.blob_mask, 100, True)
self._frame_blobs.filter_blobs(10, 10000)
self.count = self._frame_blobs.GetNumBlobs()
self.items = []
for i in range(self.count):
self.items.append(self._frame_blobs.GetBlob(i))
def __init__(self, frame):
self.blob_image = opencv.cvCloneImage(frame.iplimage)
self.blob_gray = opencv.cvCreateImage(opencv.cvGetSize(self.blob_image), 8, 1)
self.blob_mask = opencv.cvCreateImage(opencv.cvGetSize(self.blob_image), 8, 1)
opencv.cvSet(self.blob_mask, 1)
opencv.cvCvtColor(self.blob_image, self.blob_gray, opencv.CV_BGR2GRAY)
#opencv.cvEqualizeHist(self.blob_gray, self.blob_gray)
#opencv.cvThreshold(self.blob_gray, self.blob_gray, frame.thresh, 255, opencv.CV_THRESH_BINARY)
#opencv.cvThreshold(self.blob_gray, self.blob_gray, frame.thresh, 255, opencv.CV_THRESH_TOZERO)
opencv.cvThreshold(self.blob_gray, self.blob_gray, frame.bthresh, 255, frame.bthreshmode)
#opencv.cvAdaptiveThreshold(self.blob_gray, self.blob_gray, 255, opencv.CV_ADAPTIVE_THRESH_MEAN_C, opencv.CV_THRESH_BINARY_INV)
self._frame_blobs = CBlobResult(self.blob_gray, self.blob_mask, 100, True)
self._frame_blobs.filter_blobs(10, 10000)
self.count = self._frame_blobs.GetNumBlobs()
self.items = []
for i in range(self.count):
self.items.append(self._frame_blobs.GetBlob(i))
