yokeshrana

#include <iostream>
#include <map>
#include <vector>

using namespace  std;
class Snake{
    int end;
public:
    Snake() {}
    Snake(int anEnd) : end(anEnd) {}

yokeshrana

    '''
    Face Detection
    -> Using method used by Viola and jones (real time object detection)
    -> We will use lot of images with positive faces and negative faces and will train the cascade file to detect the faces
    -> In Open CV we dont have to actually do this we can use trained cascade file to detect things
    '''
    import cv2
    faceCascade = cv2.CascadeClassifier("Resources/haarcascade_frontalface_default.xml")
    img = cv2.imread("Resources/lena.png")
    imgGray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

yokeshrana

enable=False
'''
Reading Image  
'''
if enable:
    import cv2
    img = cv2.imread("Resources/lena.png")

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]

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

   """
    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
    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

    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 = 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
    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)