Python cv2 模块，CV_8UC3 实例源码

def read(self, dst=None):
        w, h = self.frame_size

        if self.bg is None:
            buf = np.zeros((h, w, 3), np.uint8)
        else:
            buf = self.bg.copy()

        self.render(buf)

        if self.noise > 0.0:
            noise = np.zeros((h, w, 3), np.int8)
            cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)
            buf = cv2.add(buf, noise, dtype=cv2.CV_8UC3)
        return True, buf

def read(self, dst=None):
        w, h = self.frame_size

        if self.bg is None:
            buf = np.zeros((h, w, 3), np.uint8)
        else:
            buf = self.bg.copy()

        self.render(buf)

        if self.noise > 0.0:
            noise = np.zeros((h, w, 3), np.int8)
            cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)
            buf = cv2.add(buf, noise, dtype=cv2.CV_8UC3)
        return True, buf

def process(img, filters):
    accum = np.zeros_like(img)
    for kern in filters:
        fimg = cv2.filter2D(img, cv2.CV_8UC3, kern)
        np.maximum(accum, fimg, accum)
    return accum

def read(self, dst=None):
        w, h = self.frame_size

        if self.bg is None:
            buf = np.zeros((h, w, 3), np.uint8)
        else:
            buf = self.bg.copy()

        self.render(buf)

        if self.noise > 0.0:
            noise = np.zeros((h, w, 3), np.int8)
            cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)
            buf = cv2.add(buf, noise, dtype=cv2.CV_8UC3)
        return True, buf

def watershed(self):
        m = self.markers.copy()
        cv2.watershed(self.img, m)
        self.returnVar = m.copy()
        overlay = self.colors[np.maximum(m, 0)]
        vis = cv2.addWeighted(self.img, 0.5, overlay, 0.5, 0.0, dtype=cv2.CV_8UC3)
        cv2.namedWindow('watershed', cv2.WINDOW_NORMAL)
        cv2.moveWindow('watershed',780,200)
        cv2.imshow('watershed', vis)

def read(self, dst=None):
        w, h = self.frame_size

        if self.bg is None:
            buf = np.zeros((h, w, 3), np.uint8)
        else:
            buf = self.bg.copy()

        self.render(buf)

        if self.noise > 0.0:
            noise = np.zeros((h, w, 3), np.int8)
            cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)
            buf = cv2.add(buf, noise, dtype=cv2.CV_8UC3)
        return True, buf

def read(self, dst=None):
        noise = np.zeros(self.render.sceneBg.shape, np.int8)
        cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)

        return True, cv2.add(self.render.getNextFrame(), noise, dtype=cv2.CV_8UC3)

def read(self, dst=None):
        noise = np.zeros(self.render.sceneBg.shape, np.int8)
        cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)

        return True, cv2.add(self.render.getNextFrame(), noise, dtype=cv2.CV_8UC3)

def read(self, dst=None):
        w, h = self.frame_size

        if self.bg is None:
            buf = np.zeros((h, w, 3), np.uint8)
        else:
            buf = self.bg.copy()

        self.render(buf)

        if self.noise > 0.0:
            noise = np.zeros((h, w, 3), np.int8)
            cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)
            buf = cv2.add(buf, noise, dtype=cv2.CV_8UC3)
        return True, buf

def read(self, dst=None):
        w, h = self.frame_size

        if self.bg is None:
            buf = np.zeros((h, w, 3), np.uint8)
        else:
            buf = self.bg.copy()

        self.render(buf)

        if self.noise > 0.0:
            noise = np.zeros((h, w, 3), np.int8)
            cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)
            buf = cv2.add(buf, noise, dtype=cv2.CV_8UC3)
        return True, buf

def read(self, dst=None):
        noise = np.zeros(self.render.sceneBg.shape, np.int8)
        cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)

        return True, cv2.add(self.render.getNextFrame(), noise, dtype=cv2.CV_8UC3)

def read(self, dst=None):
        noise = np.zeros(self.render.sceneBg.shape, np.int8)
        cv2.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)

        return True, cv2.add(self.render.getNextFrame(), noise, dtype=cv2.CV_8UC3)