Python cv2.randn() Examples

The following are 20 code examples of cv2.randn(). 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 also want to check out all available functions/classes of the module cv2 , or try the search function .
Example #1
Source File: faceaugmentation.py    From AWSLambdaFace with GNU General Public License v3.0 6 votes vote down vote up 
def augment_image(rgbImg):
    augmented_images = []
    
    # original image
    augmented_images.append(rgbImg)

    # fliped x-axis
    rimg = rgbImg.copy()
    cv2.flip(rimg, 1, rimg)
    augmented_images.append(rimg)

    # add gaussian noise
    for _ in range(10):
        gaussian_noise = rgbImg.copy()
        cv2.randn(gaussian_noise, 0, 150)
        augmented_images.append(rgbImg + gaussian_noise)
        augmented_images.append(rimg + gaussian_noise)

    for _ in range(10):
        uniform_noise = rgbImg.copy()
        cv2.randu(uniform_noise, 0, 1)
        augmented_images.append(rgbImg + uniform_noise)
        augmented_images.append(rimg + uniform_noise)

    return augmented_images
Example #2
Source File: video.py    From TecoGAN with 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 #3
Source File: video.py    From OpenCV-Snapchat-DogFilter with 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 #4
Source File: video.py    From OpenCV-Snapchat-DogFilter with 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 #5
Source File: video.py    From OpenCV-Snapchat-DogFilter with 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 #6
Source File: video.py    From PyCV-time with 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
Source File: video.py    From PyCV-time with 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 #8
Source File: background_generator.py    From TextRecognitionDataGenerator with MIT License 5 votes vote down vote up 
def gaussian_noise(height, width):
    """
        Create a background with Gaussian noise (to mimic paper)
    """

    # We create an all white image
    image = np.ones((height, width)) * 255

    # We add gaussian noise
    cv2.randn(image, 235, 10)

    return Image.fromarray(image).convert("RGBA")
Example #9
Source File: video.py    From TecoGAN with 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 #10
Source File: video.py    From TecoGAN with 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 #11
Source File: video.py    From OpenCV-Python-Tutorial with 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
Source File: video.py    From pi-tracking-telescope with 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 #13
Source File: noiser.py    From text_renderer with MIT License 5 votes vote down vote up 
def apply_gauss_noise(self, img):
        """
        Gaussian-distributed additive noise.
        """
        mean = 0
        stddev = np.sqrt(15)
        gauss_noise = np.zeros(img.shape)
        cv2.randn(gauss_noise, mean, stddev)
        out = img + gauss_noise

        return out
Example #14
Source File: augment_data.py    From bonnet with GNU General Public License v3.0 5 votes vote down vote up 
def gaussian_noise(images, mean, std):
  """
  Applies gaussian noise to every image in the list "images" with the desired

  Returns a list with all the original and noisy images.
  """
  # if we only have 1 image, transform into a list to work with same script
  if type(images) is not list:
    images = [images]

  # container for sheared images
  noisy_images = []

  # get every image and apply the number of desired shears
  for img in images:
    # get rows and cols apply noise to
    rows, cols, depth = img.shape

    # append original image
    noisy_images.append(img)

    # fill in the per-channel mean and std
    m = np.full((1, depth), mean)
    s = np.full((1, depth), std)

    # add noise to image
    # noisy_img = img.copy()
    noisy_img = np.zeros((rows, cols, depth), dtype=np.uint8)
    noisy_img = cv2.randn(noisy_img, m, s)
    noisy_img = img + noisy_img

    # append noisy image to container
    noisy_images.append(noisy_img)

  return noisy_images
Example #15
Source File: utils.py    From edafa with MIT License 5 votes vote down vote up 
def add_gauss_noise(img,bits):
	"""
	Add random gaussian noise to image

	:param img: input image
	:param bits: number of bits to represent a single color value

	:returns: image with noise
	"""
	MAX = get_max(bits)
	noise = img.copy()
	cv2.randn(noise, 0, MAX//2)
	return img + noise
Example #16
Source File: video.py    From MachineLearning with 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 #17
Source File: video.py    From MachineLearning with 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 #18
Source File: video.py    From MachineLearning with 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 #19
Source File: video.py    From OpenCV-Python-Tutorial with 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 #20
Source File: video.py    From OpenCV-Python-Tutorial with 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)