import numpy as np
import cv2
cap = cv2.VideoCapture(0)

while (True):
    ret, frame = cap.read()
    
    params = cv2.SimpleBlobDetector_Params()    
    params.minThreshold = 10;     # Change thresholds
    params.maxThreshold = 300;    
    params.filterByArea = True    # Filter by Area.
    params.minArea = 200
    params.maxArea = 600    
    params.filterByCircularity = False   # Filter by Circularity
    params.minCircularity = 0.1
    params.maxCircularity = 1    
    params.filterByConvexity = False    # Filter by Convexity
    params.minConvexity = 0.87
    params.maxConvexity = 2    
    params.filterByInertia = False     # Filter by Inertia
    params.minInertiaRatio = 0.01
    params.maxInertiaRatio = 0.1
    
    detector = cv2.SimpleBlobDetector_create(params)
    keypoints = detector.detect(frame)
    im_with_keypoints = cv2.drawKeypoints(frame, keypoints, np.array([]), (0,0,255), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
    cv2.imshow('frame', im_with_keypoints)
    
    if cv2.waitKey(1) == 27:
        break