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import numpy as np
import matplotlib.pyplot as plt
import cv2
# Loading image data (GreyScale)
image = cv2.imread('data/lenna.png', cv2.IMREAD_GRAYSCALE)
# Generating noise
mean = 0;
sigma = 10;
import numpy as np
import cv2
print(cv2.__version__)
def AddGaussianNoise(image, mean, sigma):
noise = np.random.normal(mean, sigma, np.shape(image))
noisy_image = image + noise
noisy_image[noisy_image > 255] = 255
noisy_image[noisy_image < 0] = 0
import numpy as np
import cv2
print("OpenCV Version: " + str(cv2.__version__))
def AddGaussianNoise(image, mean, sigma):
noise = np.random.normal(mean, sigma, np.shape(image))
noisy_image = image + noise
noisy_image[noisy_image > 255] = 255
noisy_image[noisy_image < 0] = 0
import numpy as np
import cv2
import math
print("OpenCV Version: " + str(cv2.__version__))
def AddGaussianNoise(image, mean, sigma):
noise = np.random.normal(mean, sigma, np.shape(image))
noisy_image = image + noise
noisy_image[noisy_image > 255] = 255
import numpy as np
import cv2
print("OpenCV Version: " + str(cv2.__version__))
def AddGaussianNoise(image, mean, sigma):
noise = np.random.normal(mean, sigma, np.shape(image))
noisy_image = image + noise
noisy_image[noisy_image > 255] = 255
noisy_image[noisy_image < 0] = 0
import cv2
import sys
def main():
print("OpenCV Version: " + str(cv2.__version__))
# Loading image data (COLOR)
filename1 = "data/lenna.png"
filename2 = "data/lenna.png"
import numpy as np
import cv2
import sys
def main():
print("OpenCV Version: " + str(cv2.__version__))
# Loading image data (COLOR)
filename = "data/lenna.png"
import numpy as np
import cv2
import sys
def main():
print("OpenCV Version: " + str(cv2.__version__) + "\n")
# Loading image data (COLOR)
filename = "data/lenna.png"
import numpy as np
import cv2
import sys
def main():
print("OpenCV Version: " + str(cv2.__version__) + "\n")
# Loading image data (COLOR)
filename = "data/lenna.png"
import open3d as o3d
import numpy as np
if __name__ == "__main__":
# Loading point cloud
print("Loading point cloud")
ptCloud = o3d.io.read_point_cloud("G-PCD\dragon.ply")
# confirmation