low_light.py

def PTS():
    import cv2
    import numpy as np
    import pytesseract


    import ocr2
    import ttos

    cap = cv2.VideoCapture('http://192.168.43.1:8080/video')
    cv2.namedWindow('image',cv2.WINDOW_NORMAL)

    while(True):
        while(True):
            ret, img = cap.read()
            cv2.imshow('image',img)
            if ((cv2.waitKey(1) & 0xFF) == ord('q')):
                break


        # Apply dilation and erosion to remove some noise
        #kernel = np.ones((1, 1), np.uint8)
        #img = cv2.dilate(img, kernel, iterations=1)
        #img = cv2.erode(img, kernel, iterations=1)
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        #kernel = np.ones((5,5),np.float32)/25
        #dst = cv2.filter2D(img,-1,kernel)
        #retval, threshold = cv2.threshold(gray, 12, 255, cv2.THRESH_BINARY)
        #th = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 115, 1)
        #dst = cv2.fastNlMeansDenoisingColored(th,None,10,10,7,21)
        cv2.imshow('image1',gray)
        #cv2.imshow('frame2',gray)
        #print("gray:")
        #th = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 115, 1)
        #blur = cv2.GaussianBlur(th,(15,15),0)
        text=(ocr2.ocr(gray))
        print(text)
        #cv2.imshow('image2',g)
        ttos.text_to_speech("I am speaking what is written in the image"+text)
        # Create a black image
        #img = np.zeros((512,512,3), np.uint8)

        # Write some Text

        #font                   = cv2.FONT_HERSHEY_SIMPLEX
        #bottomLeftCornerOfText = (10,10)
       ## fontColor              = (255,255,255)
       # lineType               = 2

      #  cv2.putText(img,text, 
      #      bottomLeftCornerOfText, 
      #      font, 
      #      fontScale,
      #      fontColor,
      #      lineType)

        #Display the image
     #   cv2.imshow("img",img)

        # print("normal:")
        # ocr2.ocr(th)
        if ((cv2.waitKey(1) & 0xFF) == ord('e')):
            break

    cap.release()
    cv2.destroyAllWindows()