pro.py

import cv2
import numpy as np
from collections import deque

pts = deque(maxlen=64)

cap = cv2.VideoCapture('apple.mp4')

colorLower = (35, 50, 50)
colorUpper = (85, 255, 255)

while True:
    ret, frame = cap.read()
    if not ret:
        print("video ---- yoxdu")
        break
    
    frame = cv2.resize(frame, (600, 400))
    blurred = cv2.GaussianBlur(frame, (11, 11), 0)
    hsv = cv2.cvtColor(blurred, cv2.COLOR_BGR2HSV)

    mask = cv2.inRange(hsv, colorLower, colorUpper)
    mask = cv2.erode(mask, None, iterations=2)
    mask = cv2.dilate(mask, None, iterations=2)

    contours, _ = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    center = None

    if len(contours) > 0:
        c = max(contours, key=cv2.contourArea)
        ((x, y), radius) = cv2.minEnclosingCircle(c)
        
        M = cv2.moments(c)
        
        if M["m00"] > 0:
            center = (int(M["m10"] / M["m00"]), int(M["m01"] / M["m00"]))

            if radius > 15:
                cv2.circle(frame, (int(x), int(y)), int(radius), (0, 255, 255), 2)
                cv2.circle(frame, center, 5, (0, 0, 255), -1) # cv2.circle()

                
                text = f"X: {int(x)} Y: {int(y)}"
                cv2.putText(frame, text, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)

    pts.appendleft(center)

    for i in range(1, len(pts)):
        if pts[i - 1] is None or pts[i] is None:
            continue
        thickness = int(np.sqrt(64 / float(i + 1)) * 2.5)
        cv2.line(frame, pts[i - 1], pts[i], (0, 0, 255), thickness)

    cv2.imshow("VIDEO", frame)
    cv2.imshow("ALMA", mask)

    if cv2.waitKey(30) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()