BlobDetector

import cv2
import numpy as np

params = cv2.SimpleBlobDetector_Params()
params.minDistBetweenBlobs=1000
params.minThreshold=1
params.maxThreshold=255
params.thresholdStep=1
#print params.minThreshold, params.maxThreshold, params.thresholdStep
#print params.minRepeatability
params.minRepeatability = 0
params.filterByArea=True
params.minArea=2000
params.maxArea=100000
params.filterByCircularity=False
params.filterByColor=False
params.filterByConvexity=False
params.filterByInertia=False
params.filterByCircularity
detector = cv2.SimpleBlobDetector_create(params)
img = cv2.imread("C:\Users\Public\Pictures\Sample Pictures\OriginalColors.jpg")
HSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)

cv2.imshow("original", img)
newFrame = cv2.inRange(HSV,(25,0,10),(75,255,245))
GaussianBlurImage = cv2.GaussianBlur(newFrame,(3,3),1.6)
erodedFrame = cv2.erode(GaussianBlurImage,(3,3))
erodedFrame = cv2.erode(erodedFrame,(3,3))
keypoints = detector.detect(erodedFrame)
x = len(keypoints)
imWithKeypoint = cv2.drawKeypoints(erodedFrame, keypoints,
                                    np.array([]), (0,0,255),
                                    cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)

if x !=0:
    key
    
cv2.imshow("ErodedImage", imWithKeypoint)
cv2.waitKey()
cv2.destroyAllWindows()