def _get_cv_frame(self): frame = CameraInputProvider.get_frame(self) dst = cv.cvCreateImage(cv.cvSize(self.capture_dims[0],self.capture_dims[1]),frame.depth,frame.nChannels) cv.cvWarpPerspective( frame, dst, self.matrix) return dst
def __init__(self,cam_num,capture_dims) : #Call CameraInputProvider constructor CameraInputProvider.__init__(self,cam_num,capture_dims) print self.scale self.image_dims=tuple((int(dim) for dim in self.capture_dims)) self.storage = cvCreateMemStorage(0); self.color_thresh = 230 self.grid = (7,7) self.n_points = self.grid[0]*self.grid[1] self.object_points = cv.cvCreateMat(self.n_points,3,cv.CV_32F) self.image_points = cv.cvCreateMat(self.n_points,2,cv.CV_32F)
def _calibrate_camera(self) : source = CameraInputProvider.get_frame(self) success, corners = cv.cvFindChessboardCorners(source, cv.cvSize(self.grid[0],self.grid[1])) n_points = self.grid[0]*self.grid[1] grid_x = self.capture_dims[0]/self.grid[0] grid_y = self.capture_dims[1]/self.grid[1] dest = [] for i in range(0,self.grid[0]) : for j in range(0,self.grid[1]) : dest.append((j*grid_x,i*grid_y)) self.dest = dest s = cv.cvCreateMat(n_points,2,cv.CV_32F) d = cv.cvCreateMat(n_points,2,cv.CV_32F) p = cv.cvCreateMat(3,3,cv.CV_32F) for i in range(n_points): s[i,0] = corners[i].x s[i,1] = corners[i].y d[i,0] = dest[i][0] d[i,1] = dest[i][1] results = cv.cvFindHomography(s,d,p) self.matrix = p
