fix: cameras buffer
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519e073f7f
commit
bd201acac1
1 changed files with 127 additions and 143 deletions
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@ -12,8 +12,7 @@ import os
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import subprocess
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# import fcntl # No longer needed with atomic file operations
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from typing import Optional, Callable
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from watchdog.observers import Observer
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from watchdog.events import FileSystemEventHandler
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# Removed watchdog imports - no longer using file watching
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# Suppress FFMPEG/H.264 error messages if needed
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# Set this environment variable to reduce noise from decoder errors
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@ -22,31 +21,14 @@ os.environ["OPENCV_FFMPEG_LOGLEVEL"] = "-8" # Suppress FFMPEG warnings
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logger = logging.getLogger(__name__)
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# Suppress noisy watchdog debug logs
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logging.getLogger('watchdog.observers.inotify_buffer').setLevel(logging.CRITICAL)
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logging.getLogger('watchdog.observers.fsevents').setLevel(logging.CRITICAL)
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logging.getLogger('fsevents').setLevel(logging.CRITICAL)
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# Removed watchdog logging configuration - no longer using file watching
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class FrameFileHandler(FileSystemEventHandler):
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"""File system event handler for frame file changes."""
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def __init__(self, callback):
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self.callback = callback
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self.last_modified = 0
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def on_modified(self, event):
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if event.is_directory:
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return
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# Debounce rapid file changes
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current_time = time.time()
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if current_time - self.last_modified > 0.01: # 10ms debounce
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self.last_modified = current_time
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self.callback()
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# Removed FrameFileHandler - no longer using file watching
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class FFmpegRTSPReader:
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"""RTSP stream reader using subprocess FFmpeg with CUDA hardware acceleration and file watching."""
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"""RTSP stream reader using subprocess FFmpeg piping frames directly to buffer."""
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def __init__(self, camera_id: str, rtsp_url: str, max_retries: int = 3):
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self.camera_id = camera_id
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@ -56,10 +38,8 @@ class FFmpegRTSPReader:
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self.stop_event = threading.Event()
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self.thread = None
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self.frame_callback: Optional[Callable] = None
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self.observer = None
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self.frame_ready_event = threading.Event()
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# Stream specs
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# Expected stream specs (for reference, actual dimensions read from PPM header)
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self.width = 1280
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self.height = 720
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@ -91,18 +71,58 @@ class FFmpegRTSPReader:
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self.thread.join(timeout=5.0)
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logger.info(f"Stopped FFmpeg reader for camera {self.camera_id}")
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def _start_ffmpeg_process(self):
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"""Start FFmpeg subprocess writing timestamped frames for atomic reads."""
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# Create temp file paths for this camera
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self.frame_dir = "/tmp/frame"
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os.makedirs(self.frame_dir, exist_ok=True)
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def _probe_stream_info(self):
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"""Probe stream to get resolution and other info."""
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try:
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cmd = [
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'ffprobe',
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'-v', 'quiet',
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'-print_format', 'json',
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'-show_streams',
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'-select_streams', 'v:0', # First video stream
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'-rtsp_transport', 'tcp',
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self.rtsp_url
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]
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# Use strftime pattern - FFmpeg writes each frame with unique timestamp
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# This ensures each file is complete when written
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camera_id_safe = self.camera_id.replace(' ', '_')
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self.frame_prefix = f"camera_{camera_id_safe}"
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# Using strftime pattern with seconds for unique filenames (avoid %f which may not work)
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self.frame_pattern = f"{self.frame_dir}/{self.frame_prefix}_%Y%m%d_%H%M%S.ppm"
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result = subprocess.run(cmd, capture_output=True, text=True, timeout=10)
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if result.returncode != 0:
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logger.error(f"Camera {self.camera_id}: ffprobe failed (code {result.returncode})")
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if result.stderr:
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logger.error(f"Camera {self.camera_id}: ffprobe stderr: {result.stderr}")
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if result.stdout:
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logger.debug(f"Camera {self.camera_id}: ffprobe stdout: {result.stdout}")
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return None
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import json
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data = json.loads(result.stdout)
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if not data.get('streams'):
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logger.error(f"Camera {self.camera_id}: No video streams found")
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return None
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stream = data['streams'][0]
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width = stream.get('width')
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height = stream.get('height')
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if not width or not height:
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logger.error(f"Camera {self.camera_id}: Could not determine resolution")
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return None
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logger.info(f"Camera {self.camera_id}: Detected resolution {width}x{height}")
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return width, height
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except Exception as e:
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logger.error(f"Camera {self.camera_id}: Error probing stream: {e}")
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return None
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def _start_ffmpeg_process(self):
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"""Start FFmpeg subprocess outputting raw RGB frames to stdout pipe."""
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# First probe the stream to get resolution
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probe_result = self._probe_stream_info()
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if not probe_result:
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logger.error(f"Camera {self.camera_id}: Failed to probe stream info")
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return False
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self.actual_width, self.actual_height = probe_result
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cmd = [
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'ffmpeg',
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@ -111,50 +131,69 @@ class FFmpegRTSPReader:
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# '-hwaccel_device', '0',
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'-rtsp_transport', 'tcp',
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'-i', self.rtsp_url,
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'-f', 'image2',
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'-strftime', '1', # Enable strftime pattern expansion
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'-pix_fmt', 'rgb24', # PPM uses RGB not BGR
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'-f', 'rawvideo', # Raw video output instead of PPM
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'-pix_fmt', 'rgb24', # Raw RGB24 format
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# Use native stream resolution and framerate
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'-an', # No audio
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'-y', # Overwrite output file
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self.frame_pattern # Write timestamped frames
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'-' # Output to stdout
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]
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try:
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# Log the FFmpeg command for debugging
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logger.info(f"Starting FFmpeg for camera {self.camera_id} with command: {' '.join(cmd)}")
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# Start FFmpeg detached - we don't need to communicate with it
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# Start FFmpeg with stdout pipe to read frames directly
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self.process = subprocess.Popen(
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cmd,
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stdout=subprocess.DEVNULL,
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stderr=subprocess.DEVNULL
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stdout=subprocess.PIPE, # Capture stdout for frame data
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stderr=subprocess.DEVNULL,
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bufsize=0 # Unbuffered for real-time processing
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)
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logger.info(f"Started FFmpeg process PID {self.process.pid} for camera {self.camera_id} -> {self.frame_pattern}")
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logger.info(f"Started FFmpeg process PID {self.process.pid} for camera {self.camera_id} -> stdout pipe (resolution: {self.actual_width}x{self.actual_height})")
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return True
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except Exception as e:
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logger.error(f"Failed to start FFmpeg for camera {self.camera_id}: {e}")
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return False
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def _setup_file_watcher(self):
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"""Setup file system watcher for frame directory."""
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# Setup file watcher for the frame directory
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handler = FrameFileHandler(lambda: self._on_file_changed())
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self.observer = Observer()
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self.observer.schedule(handler, self.frame_dir, recursive=False)
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self.observer.start()
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logger.info(f"Started file watcher for {self.frame_dir} with pattern {self.frame_prefix}*.ppm")
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def _read_raw_frame(self, pipe):
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"""Read raw RGB frame data from pipe with proper buffering."""
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try:
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# Calculate frame size using actual detected dimensions
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frame_size = self.actual_width * self.actual_height * 3
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def _on_file_changed(self):
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"""Called when a new frame file is created."""
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# Signal that a new frame might be available
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self.frame_ready_event.set()
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# Read frame data in chunks until we have the complete frame
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frame_data = b''
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bytes_remaining = frame_size
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while bytes_remaining > 0:
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chunk = pipe.read(bytes_remaining)
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if not chunk: # EOF
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if len(frame_data) == 0:
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logger.debug(f"Camera {self.camera_id}: No more data (stream ended)")
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else:
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logger.warning(f"Camera {self.camera_id}: Stream ended mid-frame: {len(frame_data)}/{frame_size} bytes")
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return None
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frame_data += chunk
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bytes_remaining -= len(chunk)
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# Convert raw RGB data to numpy array using actual dimensions
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frame_array = np.frombuffer(frame_data, dtype=np.uint8)
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frame_rgb = frame_array.reshape((self.actual_height, self.actual_width, 3))
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# Convert RGB to BGR for OpenCV compatibility
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frame_bgr = cv2.cvtColor(frame_rgb, cv2.COLOR_RGB2BGR)
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return frame_bgr
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except Exception as e:
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logger.error(f"Camera {self.camera_id}: Error reading raw frame: {e}")
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return None
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def _read_frames(self):
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"""Reactively read frames when file changes."""
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"""Read frames directly from FFmpeg stdout pipe."""
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frame_count = 0
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last_log_time = time.time()
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# Remove unused variable: bytes_per_frame = self.width * self.height * 3
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restart_check_interval = 10 # Check FFmpeg status every 10 seconds
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while not self.stop_event.is_set():
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try:
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@ -167,100 +206,45 @@ class FFmpegRTSPReader:
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time.sleep(5.0)
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continue
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# Wait for FFmpeg to start writing frame files
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wait_count = 0
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while wait_count < 30:
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# Check if any frame files exist
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import glob
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frame_files = glob.glob(f"{self.frame_dir}/{self.frame_prefix}*.ppm")
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if frame_files:
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logger.info(f"Found {len(frame_files)} initial frame files for {self.camera_id}")
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break
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time.sleep(1.0)
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wait_count += 1
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logger.info(f"FFmpeg started for camera {self.camera_id}, reading frames from pipe...")
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if wait_count >= 30:
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logger.error(f"No frame files created after 30s for {self.camera_id}")
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logger.error(f"Expected pattern: {self.frame_dir}/{self.frame_prefix}*.ppm")
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# Read frames directly from FFmpeg stdout
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try:
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if self.process and self.process.stdout:
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# Read raw frame data
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frame = self._read_raw_frame(self.process.stdout)
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if frame is None:
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continue
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# Setup file watcher
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self._setup_file_watcher()
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# Wait for file change event (or timeout for health check)
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if self.frame_ready_event.wait(timeout=restart_check_interval):
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self.frame_ready_event.clear()
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# Read latest complete frame file
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try:
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import glob
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# Find all frame files for this camera
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frame_files = glob.glob(f"{self.frame_dir}/{self.frame_prefix}*.ppm")
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if frame_files:
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# Sort by filename (which includes timestamp) and get the latest
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frame_files.sort()
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latest_frame = frame_files[-1]
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logger.debug(f"Camera {self.camera_id}: Found {len(frame_files)} frames, processing latest: {latest_frame}")
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# Read the latest frame (it's complete since FFmpeg wrote it atomically)
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frame = cv2.imread(latest_frame)
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if frame is not None:
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logger.debug(f"Camera {self.camera_id}: Successfully read frame {frame.shape} from {latest_frame}")
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# Accept any frame dimensions initially for debugging
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# Call frame callback
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if self.frame_callback:
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self.frame_callback(self.camera_id, frame)
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logger.debug(f"Camera {self.camera_id}: Called frame callback")
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logger.debug(f"Camera {self.camera_id}: Called frame callback with shape {frame.shape}")
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frame_count += 1
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# Log progress
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current_time = time.time()
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if current_time - last_log_time >= 30:
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logger.info(f"Camera {self.camera_id}: {frame_count} frames processed")
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logger.info(f"Camera {self.camera_id}: {frame_count} frames processed via pipe")
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last_log_time = current_time
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else:
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logger.warning(f"Camera {self.camera_id}: Failed to read frame from {latest_frame}")
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# Clean up old frame files to prevent disk filling
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# Keep only the latest 5 frames
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if len(frame_files) > 5:
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for old_file in frame_files[:-5]:
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try:
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os.remove(old_file)
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except:
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pass
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else:
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logger.warning(f"Camera {self.camera_id}: No frame files found in {self.frame_dir} with pattern {self.frame_prefix}*.ppm")
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except Exception as e:
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logger.debug(f"Camera {self.camera_id}: Error reading frames: {e}")
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pass
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logger.error(f"Camera {self.camera_id}: Error reading from pipe: {e}")
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# Process might have died, let it restart on next iteration
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if self.process:
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self.process.terminate()
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self.process = None
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time.sleep(1.0)
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except Exception as e:
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logger.error(f"Camera {self.camera_id}: Error in reactive frame reading: {e}")
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logger.error(f"Camera {self.camera_id}: Error in pipe frame reading: {e}")
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time.sleep(1.0)
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# Cleanup
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if self.observer:
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self.observer.stop()
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self.observer.join()
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if self.process:
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self.process.terminate()
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# Clean up all frame files for this camera
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try:
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if hasattr(self, 'frame_prefix') and hasattr(self, 'frame_dir'):
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import glob
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frame_files = glob.glob(f"{self.frame_dir}/{self.frame_prefix}*.ppm")
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for frame_file in frame_files:
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try:
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os.remove(frame_file)
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except:
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pass
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except:
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pass
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logger.info(f"Reactive FFmpeg reader ended for camera {self.camera_id}")
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logger.info(f"FFmpeg pipe reader ended for camera {self.camera_id}")
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logger = logging.getLogger(__name__)
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