import cv2
import numpy as np
Name = "test1.png" #Image Name
Img = cv2.imread(Name, cv2.IMREAD_GRAYSCALE) #Reading the Image in gray scale
Clear_Image = cv2.imread(Name, 1)
_, threshold = cv2.threshold (Img, 200, 255, cv2.THRESH_BINARY) # making threshold for the contours
contours, hierarcy = cv2.findContours(threshold, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
font = cv2.FONT_HERSHEY_TRIPLEX # Font used in typing
#Blue Color
Low = np.array([100, 50, 50])
High = np.array([140, 255, 255])
#Green Color
Low = np.array([40, 50, 50])
High = np.array([80, 255, 255])
#Red Color
Low = np.array([140, 150, 0])
High = np.array([180, 255, 255])
#Yellow Color
Low = np.array([20, 190, 20])
High = np.array([30, 255, 255])
for cnt in contours :
    Area = cv2.contourArea(cnt) # Contour's Area
    approx = cv2.approxPolyDP(cnt, 0.01*cv2.arcLength(cnt, True), True) # approximation for the contours in the Image
    cv2.drawContours(Img, [approx], 0, (0), 2) # Drawing a line at the Circumfrence of the Contour
    x = approx.ravel()[0]
    y = approx.ravel()[1]
    if len(approx) == 3:
        cv2.putText(Img, "Triangle", (x, y), font, 1, (0)) #putting this text on the pic if we find the object
        print ("Triangle")
    elif len(approx) == 4:
        cv2.putText(Img, "Square", (x, y), font, 1, (0))
        print("Square")
    elif Area < 100 :
        cv2.putText(Img, "Line", (x, y), font, 1, (0))
        print("Line")
    else:
        cv2.putText(Img, "Circle", (x, y), font, 1, (0))
        print("Circle")

print(Img) # Printing the Matrix of pixels
cv2.imshow(Name, Img) #Sowing the Image to the user
cv2.waitKey(0) # Delaying for 5 seconds
cv2.destroyAllWindows() # Destroying the Image after the Given delay