circle_detect.py

import cv2 
import numpy as np 

# Load image 
image = cv2.imread('c://Intel//python//test1//blobs2.jpeg')
# image = cv2.imread('c://Intel//python//test1//blobs1.jpeg')


# Set our filtering parameters 
# Initialize parameter settiing using cv2.SimpleBlobDetector 
params = cv2.SimpleBlobDetector_Params() 

# Set Area filtering parameters 
params.filterByArea = True
params.minArea = 0

# Set Circularity filtering parameters 
params.filterByCircularity = True
params.minCircularity = 0.9

# Set Convexity filtering parameters 
params.filterByConvexity = True
params.minConvexity = 0.2
	
# Set inertia filtering parameters 
params.filterByInertia = True
params.minInertiaRatio = 0.01

# Create a detector with the parameters 
detector = cv2.SimpleBlobDetector_create(params) 
	
# Detect blobs 
keypoints = detector.detect(image) 

# Draw blobs on our image as red circles 
blank = np.zeros((1, 1)) 
blobs = cv2.drawKeypoints(image, keypoints, blank, (0, 0, 255), 
						cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS) 

#number_of_blobs = len(keypoints) 
if len(keypoints) == 12:
    text = "Jumlah Botol Pas: " + str(len(keypoints) ) 
    cv2.putText(blobs, text, (20, 550), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2) 
elif len(keypoints) > 12:
    text = "Jumlah Botol Lebih: " + str(len(keypoints) ) 
    cv2.putText(blobs, text, (20, 550), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2)     
else:
    text = "Jumlah Botol Kurang: " + str(len(keypoints) ) 
    cv2.putText(blobs, text, (20, 550), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2) 
# Show blobs 
cv2.imshow("Filtering Circular Blobs Only", blobs) 
cv2.waitKey(0) 
cv2.destroyAllWindows()