temp

thresholding.py

def thresh_callback(val):
    threshold = val

    _,thres_out = cv.threshold(src_gray, 230, 255,  
                            cv.THRESH_BINARY) 
    canny_output = cv.Canny(thres_out, threshold, threshold * 2)
    
    contours, _ = cv.findContours(canny_output, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
    

    # Find the convex hull object for each contour
    hull_list = []

    for i in range(len(contours)):
        hull = cv.convexHull(contours[i])
        hull_list.append(hull)
       
    # Draw contours + hull results
    drawing = np.zeros((canny_output.shape[0], canny_output.shape[1], 3), dtype=np.uint8)
       
    c = max(hull_list, key = cv.contourArea)
    x,y,w,h = cv.boundingRect(c)
    # draw the biggest contour (c) in green
    cv.rectangle(src,(x,y),(x+w,y+h),(0,255,0),2)
    
    
    cv.imshow('Thres', thres_out)
    cv.imshow('CannyOut', canny_output)
    cv.imshow('Final', src)   
    
    for i in range(len(contours)):
        color = (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256))
        cv.drawContours(drawing, contours, i, (255,0,0))
        cv.drawContours(drawing, hull_list, i,(0,255,0))

    # Show in a window
    cv.imshow('Contours', drawing)

src = cv.imread("ic_front_test_720x1280.png")

if src is None:
    print('Could not open or find the image:', args.input)
    exit(0)

# Convert image to gray and blur it
src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)

src_gray = cv.blur(src_gray, (3,3))
cv.imshow("gray",src_gray)

# Create Window
source_window = 'Source'
cv.namedWindow(source_window)
cv.imshow(source_window, src)
max_thresh = 255
# thresh = 100 # initial threshold
thresh = 255 # initial threshold
cv.createTrackbar('Canny thresh:', source_window, thresh, max_thresh, thresh_callback)
thresh_callback(thresh)

cv.waitKey()
cv.destroyAllWindows()