logovid_frameplay.py

# upper and lower range of HSV
lower = np.array([6,10,68])
upper = np.array([30,36,122])

# create kernel for image dilation
kernel = np.ones((3,3),np.uint8)

# execute the couple of lines below everytime you run the following while loop
cap = cv2.VideoCapture(path+"Pexels Videos 2675513.mp4")
cnt = 0

# loop to load, pre-process and display the frames
while(True):
    ret, f = cap.read()
    
    # extract the area where we will place the logo
    # the dimensions of this area should match with those of the logo
    mini_frame = f[500:740,875:1070,:]
    
    # create HSV image
    hsv = cv2.cvtColor(f, cv2.COLOR_BGR2HSV)
    
    # create binary mask 
    mask = cv2.inRange(hsv, lower, upper)
    
    # perform dilation on the mask to reduce noise
    dil = cv2.dilate(mask,kernel,iterations = 5)
    
    # extract the area where we will place the logo
    # create 3 channels 
    mini_dil = np.zeros_like(mini_frame)
    mini_dil[:,:,0] = dil[500:740,875:1070]
    mini_dil[:,:,1] = dil[500:740,875:1070]
    mini_dil[:,:,2] = dil[500:740,875:1070]
    
    # copy image of logo
    logo_copy = logo.copy()
    
    # set pixel values to 1 where the pixel values of the mask is 0
    logo_copy[mini_dil == 0] = 1
    
    # set pixel values to 1 where the pixel values of the logo is 0
    logo_copy[logo == 0] = 1    
    
    # set pixel values to 1 where the pixel values of the logo is not 1
    mini_frame[logo_copy != 1] = 1
    
    # merge images (array multiplication)
    mini_frame = mini_frame*logo_copy
    
    # insert logo in the frame
    f[500:740,875:1070,:] = mini_frame
    
    # resize the frame (optional)
    f = cv2.resize(f, (480, 270), interpolation = cv2.INTER_AREA)

    # display frame
    cv2.imshow('frame', f)
    
    # save frame
    # cv2.imwrite(path+'frames/'+str(cnt)+'.png',f)
    cnt+= 1
    
    if cv2.waitKey(20) & 0xFF == ord('q'):
        cv2.destroyAllWindows()
        break