yokeshrana

1 :: Install Latest Cmake (Using the office dmg ) 
     https://cmake.org/download/ 
     Configure the paths for the cmake using the below command 
     sudo "/Applications/CMake.app/Contents/bin/cmake-gui" --install  
     
2 :: Default mac os vim lacks python3 support and many other features ,so we will be compiling vim with full features(can limit if u want)
     Verify first if Xcode developers tools are installed or not ,if not this will install it in mac
     xcode-select --install
     Now lets just move on to compiling vim from source on our distribution.
     mkdir -p .vim/src

yokeshrana

    import cv2
    vid = cv2.VideoCapture("Resources/test_video.mp4")
    #since video is stream of pictures we have to use something else here
    while True:
        success,img=vid.read()
        if success:
            cv2.imshow("Video", img)
            if cv2.waitKey(1) & 0xFF == ord('q'):
                break

yokeshrana

    import cv2
    img = cv2.imread("Resources/lena.png")
    cv2.imshow("Picture",img)
    cv2.waitKey(3000) # Define the time until it is visible

yokeshrana

    import cv2
    vid = cv2.VideoCapture(0)  # instead of file path we will use the id of the device (webcam)
    #now we define some specific parameter for the webcam
    vid.set(3,640)
    vid.set(4,480)
    #Rest Code is same as basic video read
    while vid.isOpened():  # Used to check if camera is opened or not
        success,img=vid.read()
        if success:
            cv2.imshow("Video",img)

yokeshrana

    import cv2
    import numpy as np
    img = cv2.imread("Resources/lena.png")
    imgGray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) # converting to it gray scale image
    cv2.imshow("GrayScale", imgGray)
    # To Blur the image we will use Gaussian Blur to blur
    imgBlur = cv2.GaussianBlur(imgGray,(7,7),0) # as a paramter kernel size is passed
    cv2.imshow("GrayScaleBlur", imgBlur)

    # To detect the edges we use the Canny Filter

yokeshrana

    import cv2
    import numpy as np
    img = cv2.imread("Resources/lambo.PNG")
    cv2.imshow("Image ", img)
    print(img.shape)
    '''
    Resizing the image
    '''
    imgResizeinc = cv2.resize(img,(600,600))
    print(imgResizeinc.shape)

yokeshrana

    import cv2
    import numpy as np
    img = np.zeros((512,512)) # gray scale image (can check by shape also )
    # To add the color make it 3 channel
    img = np.zeros((512,512,3))
    #img[:]=255,0,0
    '''
    To Draw the line ,Rectange ,Circle and put text on images
    '''
    cv2.line(img,(0,0),(300,300),(0,255,0),3) # start point ,end point and thickness

yokeshrana

   """
    Join Images 
    We will try to put all images in one window
    """
    import cv2
    import numpy as np
    
    #Function used to stack the images   
    def stackImages(scale, imgArray):
        rows = len(imgArray)

yokeshrana

import cv2
    import numpy as np
    '''
    Here we will try to detect colors in the image 
    '''
    def empty(a):
        pass
        # Function used to stack the images

yokeshrana

    import cv2
    import numpy as np
    path = 'Resources/shapes.png'
    img = cv2.imread(path)
    imgContour = img.copy()
    def stackImages(scale, imgArray):
        rows = len(imgArray)
        cols = len(imgArray[0])
        rowsAvailable = isinstance(imgArray[0], list)
        width = imgArray[0][0].shape[1]