#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Aug  4 13:39:00 2024

@author: ysnrfd
"""

import cv2
import numpy as np

# Initialize the background subtractor
background_subtractor = cv2.createBackgroundSubtractorMOG2()

# Open a connection to the camera
cap = cv2.VideoCapture(0)

# Check if the camera opened successfully
if not cap.isOpened():
    print("Error: Could not open camera.")
    exit()

while True:
    # Capture frame-by-frame
    ret, frame = cap.read()
    if not ret:
        print("Error: Failed to capture image")
        break

    # Apply background subtraction
    fg_mask = background_subtractor.apply(frame)

    # Find contours of the detected objects
    contours, _ = cv2.findContours(fg_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    # Draw contours on the frame
    for contour in contours:
        if cv2.contourArea(contour) > 15:  # Adjust the threshold for contour area
            x, y, w, h = cv2.boundingRect(contour)
            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 1)
            cv2.putText(frame, "Anomaly Detected", (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 1)

    # Display the resulting frame
    cv2.imshow('Ghost Detector (Anomaly Detection)', frame)

    # Break the loop on 'q' key press
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release the capture and close all windows
cap.release()
cv2.destroyAllWindows()