camera_monitor.py created and ready for testing
requirements.txt also added for camera monitor app Changes to be committed: new file: camera-client/camera_monitor.py new file: camera-client/requirements.txt
This commit is contained in:
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camera-client/camera_monitor.py
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100
camera-client/camera_monitor.py
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import cv2
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import time
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import requests
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import numpy as np
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from datetime import datetime
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import os
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import json
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import logging
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import argparse
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class CameraMonitor:
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def __init__(self, config, logger):
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self.config = config
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self.logger = logger
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def initialize_camera(self):
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"""
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Initialize the camera and return the VideoCapture object.
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"""
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cap = cv2.VideoCapture(self.config['camera_address'])
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if not cap.isOpened():
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raise Exception(f"Failed to open camera at {self.config['camera_address']}")
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return cap
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def log_scene_change(self):
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"""
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Log a scene change notification to the Scenesense server.
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"""
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current_time = int(time.time())
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human_readable_time = datetime.utcfromtimestamp(current_time).strftime('%Y-%m-%d %H:%M:%S')
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description = f'Scene change detected at {human_readable_time}'
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payload = {'timestamp': current_time, 'description': description}
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try:
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response = requests.post(self.config['api_url'], json=payload)
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response.raise_for_status()
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self.logger.info(f'Scene change logged: {description}')
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except requests.exceptions.RequestException as e:
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self.logger.error(f'Error connecting to Scenesense server: {e}')
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except requests.exceptions.HTTPError as e:
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self.logger.error(f'HTTP error: {e}')
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def detect_scene_change(self, previous_frame, current_frame):
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"""
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Detect scene change based on frame differences.
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"""
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frame_diff = cv2.absdiff(previous_frame, current_frame)
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mean_diff = np.mean(frame_diff)
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return mean_diff > self.config['sensitivity_threshold']
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def run(self):
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try:
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with self.initialize_camera() as cap:
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previous_frame = None
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while True:
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ret, current_frame = cap.read()
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if not ret:
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raise Exception("Failed to read frame")
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if previous_frame is not None:
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if self.detect_scene_change(previous_frame, current_frame):
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self.log_scene_change()
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previous_frame = current_frame
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except KeyboardInterrupt:
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self.logger.info("Camera monitoring stopped by user.")
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except Exception as e:
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self.logger.error(f"An error occurred: {e}")
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def parse_command_line_args():
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parser = argparse.ArgumentParser(description='Camera Monitor for Scenesense')
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parser.add_argument('--config', type=str, default='config.json', help='Path to configuration file')
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return parser.parse_args()
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def load_config(config_path):
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try:
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with open(config_path, 'r') as config_file:
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return json.load(config_file)
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except FileNotFoundError:
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raise Exception(f"Config file not found: {config_path}")
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except json.JSONDecodeError:
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raise Exception(f"Invalid JSON format in config file: {config_path}")
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def setup_logging():
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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return logging.getLogger('CameraMonitor')
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def main():
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args = parse_command_line_args()
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config = load_config(args.config)
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logger = setup_logging()
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monitor = CameraMonitor(config, logger)
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monitor.run()
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if __name__ == "__main__":
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main()
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3
camera-client/requirements.txt
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3
camera-client/requirements.txt
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@@ -0,0 +1,3 @@
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numpy
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opencv-python-headless
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requests
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