OpenCv/ObjectTracking.py at master · yashkrishan/OpenCv · GitHub

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import numpy as np
import cv2

cap = cv2.VideoCapture(0)

lower_orange = np.array([5, 50, 50])
upper_orange = np.array([15, 255, 255])

points = []

ret, frame = cap.read()

Height, Width = frame.shape[:2]
frame_count = 0

while True:
	ret, frame = cap.read()
	hsv_img = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

	mask = cv2.inRange(hsv_img, lower_orange, upper_orange)

	_, contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
	center = int(Height/2), int(Width/2)

	if len(contours) > 0:

		c = max(contours, key = cv2.contourArea)
		(x,y),radius = cv2.minEnclosingCircle(c)
		M = cv2.moments(c)

		try:
			center = (int(M["m10"]/M["m00"]), int(M["m01"]/M["m00"]))
		except:
			center = int(Height/2), int(Width/2)

		if radius > 25:
			cv2.circle(frame, (int(x), int(y)), int(radius),(0,0,255),2)
			cv2.circle(frame, center, 5, (0, 255, 0), -1)
	points.append(center)

	if radius > 25:
		for i in range(1, len(points)):
			try:
				cv2.line(frame, points[i-1], points[i], (0,255,0), 2)
			except:
				pass

		frame_count = 0
	else:
		frame_count +=1

		if frame_count == 10:
			points = []
			frame_count = 0

	frame = cv2.flip(frame,1)
	cv2.imshow("object Tracker", frame)

	if cv2.waitKey(1) == 13:
		break

cap.release()
cap.destroyAllWindows()