def __init__(self, node_name): ROS2OpenCV2.__init__(self, node_name) self.node_name = node_name # The minimum saturation of the tracked color in HSV space, # as well as the min and max value (the V in HSV) and a # threshold on the backprojection probability image. self.smin = rospy.get_param("~smin", 85) self.vmin = rospy.get_param("~vmin", 50) self.vmax = rospy.get_param("~vmax", 254) self.threshold = rospy.get_param("~threshold", 50) # Create a number of windows for displaying the histogram, # parameters controls, and backprojection image cv.NamedWindow("Histogram", cv.CV_WINDOW_NORMAL) cv.MoveWindow("Histogram", 700, 50) cv.NamedWindow("Parameters", 0) cv.MoveWindow("Parameters", 700, 325) cv.NamedWindow("Backproject", 0) cv.MoveWindow("Backproject", 700, 600) # Create the slider controls for saturation, value and threshold cv.CreateTrackbar("Saturation", "Parameters", self.smin, 255, self.set_smin) cv.CreateTrackbar("Min Value", "Parameters", self.vmin, 255, self.set_vmin) cv.CreateTrackbar("Max Value", "Parameters", self.vmax, 255, self.set_vmax) cv.CreateTrackbar("Threshold", "Parameters", self.threshold, 255, self.set_threshold) # Initialize a number of variables self.hist = None self.track_window = None self.show_backproj = False
def __init__(self, img0): self.thresh1 = 255 self.thresh2 = 30 self.level =4 self.storage = cv.CreateMemStorage() cv.NamedWindow("Source", 0) cv.ShowImage("Source", img0) cv.NamedWindow("Segmentation", 0) cv.CreateTrackbar("Thresh1", "Segmentation", self.thresh1, 255, self.set_thresh1) cv.CreateTrackbar("Thresh2", "Segmentation", self.thresh2, 255, self.set_thresh2) self.image0 = cv.CloneImage(img0) self.image1 = cv.CloneImage(img0) cv.ShowImage("Segmentation", self.image1)
def __init__(self, ceil=8, doRecord=True, showWindows=True): self.writer = None self.font = None self.doRecord = doRecord #Either or not record the moving object self.show = showWindows #Either or not show the 2 windows self.frame = None self.capture = cv.VideoCapture(0) self.frame = self.capture.read() #Take a frame to init recorder if doRecord: self.initRecorder() self.frame1gray = cv.CreateMat(self.frame.height, self.frame.width, cv.CV_8U) #Gray frame at t-1 cv.CvtColor(self.frame, self.frame1gray, cv.CV_RGB2GRAY) #Will hold the thresholded result self.res = cv.CreateMat(self.frame.height, self.frame.width, cv.CV_8U) self.frame2gray = cv.CreateMat(self.frame.height, self.frame.width, cv.CV_8U) #Gray frame at t self.width = self.frame.width self.height = self.frame.height self.nb_pixels = self.width * self.height self.ceil = ceil self.isRecording = False self.trigger_time = 0 #Hold timestamp of the last detection if showWindows: cv.NamedWindow("Image") cv.CreateTrackbar("Mytrack", "Image", self.ceil, 100, self.onChange)
def __init__(self, threshold=1, doRecord=True, showWindows=True): self.writer = None self.font = None self.doRecord = doRecord # Either or not record the moving object self.show = showWindows # Either or not show the 2 windows self.frame = None self.capture = cv.CaptureFromCAM(0) self.frame = cv.QueryFrame( self.capture) # Take a frame to init recorder if doRecord: self.initRecorder() self.gray_frame = cv.CreateImage(cv.GetSize(self.frame), cv.IPL_DEPTH_8U, 1) self.average_frame = cv.CreateImage(cv.GetSize(self.frame), cv.IPL_DEPTH_32F, 3) self.absdiff_frame = None self.previous_frame = None self.surface = self.frame.width * self.frame.height self.currentsurface = 0 self.currentcontours = None self.threshold = threshold self.isRecording = False self.trigger_time = 0 # Hold timestamp of the last detection if showWindows: cv.NamedWindow("Image") cv.CreateTrackbar("Detection treshold: ", "Image", self.threshold, 100, self.onThresholdChange)
def __init__(self, source_image, slider_pos): self.source_image = source_image cv.CreateTrackbar("Threshold", "Result", slider_pos, 255, self.process_image) self.process_image(slider_pos)
def Dilation(pos): element = cv.CreateStructuringElementEx(pos * 2 + 1, pos * 2 + 1, pos, pos, element_shape) cv.Dilate(src, dest, element, 1) cv.ShowImage("Erosion & Dilation", dest) if __name__ == "__main__": if len(sys.argv) > 1: src = cv.LoadImage(sys.argv[1], cv.CV_LOAD_IMAGE_COLOR) else: url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg' filedata = urllib2.urlopen(url).read() imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1) cv.SetData(imagefiledata, filedata, len(filedata)) src = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR) image = cv.CloneImage(src) dest = cv.CloneImage(src) cv.NamedWindow("Opening & Closing", 1) cv.NamedWindow("Erosion & Dilation", 1) cv.ShowImage("Opening & Closing", src) cv.ShowImage("Erosion & Dilation", src) cv.CreateTrackbar("Open", "Opening & Closing", 0, 10, Opening) cv.CreateTrackbar("Close", "Opening & Closing", 0, 10, Closing) cv.CreateTrackbar("Dilate", "Erosion & Dilation", 0, 10, Dilation) cv.CreateTrackbar("Erode", "Erosion & Dilation", 0, 10, Erosion) cv.WaitKey(0) cv.DestroyWindow("Opening & Closing") cv.DestroyWindow("Erosion & Dilation")