Python cv.NamedWindow方法代码示例

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import NamedWindow [as 别名]
def main():
    """Open test color images, create display window, start the search"""
    cv.NamedWindow(WNDNAME, 1)
    for name in [ "../c/pic%d.png" % i for i in [1, 2, 3, 4, 5, 6] ]:
        img0 = cv.LoadImage(name, 1)
        try:
            img0
        except ValueError:
            print "Couldn't load %s\n" % name
            continue

        # slider deleted from C version, same here and use fixed Canny param=50
        img = cv.CloneImage(img0)

        cv.ShowImage(WNDNAME, img)

        # force the image processing
        draw_squares( img, find_squares4( img ) )

        # wait for key.
        if cv.WaitKey(-1) % 0x100 == 27:
            break 

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import NamedWindow [as 别名]
def __init__(self):
		cv.StartWindowThread()
		cv.NamedWindow('Capture Feedback') 

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import NamedWindow [as 别名]
def __init__(self):
        cv.NamedWindow(self.window_name, cv.CV_WINDOW_AUTOSIZE)

        # self.capture = cv.CaptureFromCAM(camera_index) #for some reason, this doesn't work
        # self.capture = cv.CreateCameraCapture(-1)
        self.capture = cv.CaptureFromCAM(0) 

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import NamedWindow [as 别名]
def __init__(self,threshold=25, 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.capture=cv.CaptureFromFile('crash-480.mp4')
        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.onChange) 

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import NamedWindow [as 别名]
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) 

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import NamedWindow [as 别名]
def __init__(self, src_image):
        self.src_image = src_image
        self.dst_image = cv.CloneMat(src_image)
        self.hist_image = cv.CreateImage((320, 200), 8, 1)
        self.hist = cv.CreateHist([hist_size], cv.CV_HIST_ARRAY, ranges, 1)

        self.brightness = 0
        self.contrast = 0

        cv.NamedWindow("image", 0)
        cv.NamedWindow("histogram", 0)
        cv.CreateTrackbar("brightness", "image", 100, 200, self.update_brightness)
        cv.CreateTrackbar("contrast", "image", 100, 200, self.update_contrast)

        self.update_brightcont() 

# 需要导入模块: from cv2 import cv [as 别名]
# 或者: from cv2.cv import NamedWindow [as 别名]
def __init__(self):
        self.capture = cv.CaptureFromCAM(0)
        cv.NamedWindow( "CamShiftDemo", 1 )
        cv.NamedWindow( "Histogram", 1 )
        cv.SetMouseCallback( "CamShiftDemo", self.on_mouse)

        self.drag_start = None      # Set to (x,y) when mouse starts drag
        self.track_window = None    # Set to rect when the mouse drag finishes

        print( "Keys:\n"
            "    ESC - quit the program\n"
            "    b - switch to/from backprojection view\n"
            "To initialize tracking, drag across the object with the mouse\n" )