Python cv2.CV_8UC3 Examples

The following are 24 code examples for showing how to use cv2.CV_8UC3(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

You may check out the related API usage on the sidebar.

You may also want to check out all available functions/classes of the module cv2 , or try the search function .

Example 1
Project: robotics-rl-srl   Author: araffin   File: omnirobot_simulator_server.py    License: MIT License 6 votes vote down vote up 
def renderEnvLuminosityNoise(self, origin_image, noise_var=0.1, in_RGB=False, out_RGB=False):
        """
        render the different environment luminosity
        """
        # variate luminosity and color
        origin_image_LAB = cv2.cvtColor(
            origin_image, cv2.COLOR_RGB2LAB if in_RGB else cv2.COLOR_BGR2LAB, cv2.CV_32F)
        origin_image_LAB[:, :, 0] = origin_image_LAB[:,
                                                     :, 0] * (np.random.randn() * noise_var + 1.0)
        origin_image_LAB[:, :, 1] = origin_image_LAB[:,
                                                     :, 1] * (np.random.randn() * noise_var + 1.0)
        origin_image_LAB[:, :, 2] = origin_image_LAB[:,
                                                     :, 2] * (np.random.randn() * noise_var + 1.0)
        out_image = cv2.cvtColor(
            origin_image_LAB, cv2.COLOR_LAB2RGB if out_RGB else cv2.COLOR_LAB2BGR, cv2.CV_8UC3)
        return out_image
Example 2
Project: python-opencv-gpu-video   Author: Kjue   File: UMatFileVideoStream.py    License: MIT License 6 votes vote down vote up 
def __init__(self, path, queueSize=128):
        # initialize the file video stream along with the boolean
        # used to indicate if the thread should be stopped or not
        self.stream = cv2.VideoCapture(path)
        self.stopped = False
        self.count = 0

        # initialize the queue used to store frames read from
        # the video file
        self.Q = Queue(maxsize=queueSize)

        # We need some info from the file first. See more at:
        # https://docs.opencv.org/4.1.0/d4/d15/group__videoio__flags__base.html#gaeb8dd9c89c10a5c63c139bf7c4f5704d
        self.width = int(self.stream.get(cv2.CAP_PROP_FRAME_WIDTH))
        self.height = int(self.stream.get(cv2.CAP_PROP_FRAME_HEIGHT))

        # since this version uses UMat to store the images to
        # we need to initialize them beforehand
        self.frames = [0] * queueSize
        for ii in range(queueSize):
            self.frames[ii] = cv2.UMat(self.height, self.width, cv2.CV_8UC3)
Example 3
Project: OpenCV-Python-Tutorial   Author: makelove   File: watershed.py    License: MIT License 5 votes vote down vote up 
def watershed(self):
        m = self.markers.copy()
        cv2.watershed(self.img, m)
        overlay = self.colors[np.maximum(m, 0)]
        vis = cv2.addWeighted(self.img, 0.5, overlay, 0.5, 0.0, dtype=cv2.CV_8UC3)
        cv2.imshow('watershed', vis)
Example 4
Project: OpenCV-Python-Tutorial   Author: makelove   File: gabor_threads.py    License: MIT License 5 votes vote down vote up 
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
Example 5
Project: OpenCV-Python-Tutorial   Author: makelove   File: gabor_threads.py    License: MIT License 5 votes vote down vote up 
def process_threaded(img, filters, threadn = 8):
    accum = np.zeros_like(img)
    def f(kern):
        return cv2.filter2D(img, cv2.CV_8UC3, kern)
    pool = ThreadPool(processes=threadn)
    for fimg in pool.imap_unordered(f, filters):
        np.maximum(accum, fimg, accum)
    return accum
Example 6
Project: OpenCV-Python-Tutorial   Author: makelove   File: video.py    License: MIT License 5 votes vote down vote up 
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
Example 7
Project: OpenCV-Python-Tutorial   Author: makelove   File: video.py    License: MIT License 5 votes vote down vote up 
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)
Example 8
Project: MachineLearning   Author: mengli   File: video.py    License: Apache License 2.0 5 votes vote down vote up 
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
Example 9
Project: MachineLearning   Author: mengli   File: video.py    License: Apache License 2.0 5 votes vote down vote up 
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)
Example 10
Project: MachineLearning   Author: mengli   File: video.py    License: Apache License 2.0 5 votes vote down vote up 
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)
Example 11
Project: pi-tracking-telescope   Author: tobykurien   File: video.py    License: MIT License 5 votes vote down vote up 
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
Example 12
Project: TecoGAN   Author: thunil   File: video.py    License: Apache License 2.0 5 votes vote down vote up 
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)
            cv.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)
            buf = cv.add(buf, noise, dtype=cv.CV_8UC3)
        return True, buf
Example 13
Project: TecoGAN   Author: thunil   File: video.py    License: Apache License 2.0 5 votes vote down vote up 
def read(self, dst=None):
        noise = np.zeros(self.render.sceneBg.shape, np.int8)
        cv.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)

        return True, cv.add(self.render.getNextFrame(), noise, dtype=cv.CV_8UC3)
Example 14
Project: TecoGAN   Author: thunil   File: video.py    License: Apache License 2.0 5 votes vote down vote up 
def read(self, dst=None):
        noise = np.zeros(self.render.sceneBg.shape, np.int8)
        cv.randn(noise, np.zeros(3), np.ones(3)*255*self.noise)

        return True, cv.add(self.render.getNextFrame(), noise, dtype=cv.CV_8UC3)
Example 15
Project: PyCV-time   Author: fatcloud   File: watershed.py    License: MIT License 5 votes vote down vote up 
def watershed(self):
        m = self.markers.copy()
        cv2.watershed(self.img, m)
        overlay = self.colors[np.maximum(m, 0)]
        vis = cv2.addWeighted(self.img, 0.5, overlay, 0.5, 0.0, dtype=cv2.CV_8UC3)
        cv2.imshow('watershed', vis)
Example 16
Project: PyCV-time   Author: fatcloud   File: gabor_threads.py    License: MIT License 5 votes vote down vote up 
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
Example 17
Project: PyCV-time   Author: fatcloud   File: gabor_threads.py    License: MIT License 5 votes vote down vote up 
def process_threaded(img, filters, threadn = 8):
    accum = np.zeros_like(img)
    def f(kern):
        return cv2.filter2D(img, cv2.CV_8UC3, kern)
    pool = ThreadPool(processes=threadn)
    for fimg in pool.imap_unordered(f, filters):
        np.maximum(accum, fimg, accum)
    return accum
Example 18
Project: PyCV-time   Author: fatcloud   File: video.py    License: MIT License 5 votes vote down vote up 
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
Example 19
Project: PyCV-time   Author: fatcloud   File: watershed.py    License: MIT License 5 votes vote down vote up 
def watershed(self):
        m = self.markers.copy()
        cv2.watershed(self.img, m)
        overlay = self.colors[np.maximum(m, 0)]
        vis = cv2.addWeighted(self.img, 0.5, overlay, 0.5, 0.0, dtype=cv2.CV_8UC3)
        cv2.imshow('watershed', vis)
Example 20
Project: PyCV-time   Author: fatcloud   File: gabor_threads.py    License: MIT License 5 votes vote down vote up 
def process_threaded(img, filters, threadn = 8):
    accum = np.zeros_like(img)
    def f(kern):
        return cv2.filter2D(img, cv2.CV_8UC3, kern)
    pool = ThreadPool(processes=threadn)
    for fimg in pool.imap_unordered(f, filters):
        np.maximum(accum, fimg, accum)
    return accum
Example 21
Project: PyCV-time   Author: fatcloud   File: video.py    License: MIT License 5 votes vote down vote up 
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
Example 22
Project: OpenCV-Snapchat-DogFilter   Author: sguduguntla   File: video.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
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
Example 23
Project: OpenCV-Snapchat-DogFilter   Author: sguduguntla   File: video.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
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)
Example 24
Project: OpenCV-Snapchat-DogFilter   Author: sguduguntla   File: video.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
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)