Resizing And Cropping - opencv cv2 tutorial chapter3
chapter3 import cv2 img = cv2.imread('Resources/lambo.PNG') print(img.shape) img_resize = cv2.resize(img, (200, 300)) print(img_resize.shape) img_crop = img[0:200, 200:500] cv2.imshow('img', ...
chapter3 import cv2 img = cv2.imread('Resources/lambo.PNG') print(img.shape) img_resize = cv2.resize(img, (200, 300)) print(img_resize.shape) img_crop = img[0:200, 200:500] cv2.imshow('img', ...
chapter1 import cv2 # img = cv2.imread('Resources/lena.png') # # # cv2.imshow('img', img) # cv2.waitKey(0) crap = cv2.VideoCapture('Resources/test_video.mp4') while True: flag, img = crap.r...
project3 import cv2 import numpy as np from cv2tools import stackImages paths = ['Resources/p1.jpg', 'Resources/p2.jpg', 'Resources/p3.jpg'] idx = 0 nPlateCascade = cv2.CascadeClassifier('Resourc...
chapter6 import cv2 import numpy as np # 将若干图像stack成一个图像 def stackImages(scale, imgArray): rows = len(imgArray) cols = len(imgArray[0]) rowsAvailable = isinstance(imgArray[0], list) ...
chapter9 import cv2 # 基于Haar特征的分类器 faceCascade = cv2.CascadeClassifier('Resources/haarcascade_frontalface_default.xml') img = cv2.imread('Resources/lena.png') imgGray = cv2.cvtColor(img,cv2.COLO...
project2 import cv2 import numpy as np from cv2tools import stackImages Width = 832 Height = 640 def preprocessing(img): gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) blur_img = cv2....
chapter8 import cv2 import numpy as np from cv2tools import stackImages def getContours(img): # cv2.findContours 在二值图像中检测轮廓 # mode: # cv2.RETR_EXTERNAL:只检索最外层的轮廓。 # ...
chapter7 import cv2 import numpy as np from cv2tools import stackImages def fun(x): pass cv2.namedWindow("bars") cv2.resizeWindow("bars", 500, 300) cv2.createTrackbar("hue min", "bars", 0...
chapter2 import cv2 import numpy as np img = cv2.imread('Resources/lena.png') gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # cv2.GaussianBlur 第三个参数表示高斯的标准差 为0代表根据kernel size自动计算 blur_img = ...
chapter4 import cv2 import numpy as np img = np.zeros((512,512,3), np.uint8) # img[:] = 255,0,0 cv2.line(img, (0,0), (img.shape[1],img.shape[0]), (0,255,0), 3) cv2.rectangle(img, (0,0), (200,300...