Siwat Sirichai
719d16ae4d
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317 lines
11 KiB
Python
317 lines
11 KiB
Python
"""
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Frame buffering and caching system optimized for different stream formats.
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Supports 1280x720 RTSP streams and 2560x1440 HTTP snapshots.
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"""
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import threading
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import time
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import cv2
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import logging
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import numpy as np
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from typing import Optional, Dict, Any, Tuple
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from collections import defaultdict
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logger = logging.getLogger(__name__)
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class FrameBuffer:
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"""Thread-safe frame buffer for all camera streams."""
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def __init__(self, max_age_seconds: int = 5):
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self.max_age_seconds = max_age_seconds
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self._frames: Dict[str, Dict[str, Any]] = {}
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self._lock = threading.RLock()
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def put_frame(self, camera_id: str, frame: np.ndarray):
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"""Store a frame for the given camera ID."""
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with self._lock:
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# Validate frame
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if not self._validate_frame(frame):
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logger.warning(f"Frame validation failed for camera {camera_id}")
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return
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self._frames[camera_id] = {
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'frame': frame.copy(),
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'timestamp': time.time(),
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'shape': frame.shape,
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'dtype': str(frame.dtype),
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'size_mb': frame.nbytes / (1024 * 1024)
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}
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def get_frame(self, camera_id: str) -> Optional[np.ndarray]:
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"""Get the latest frame for the given camera ID."""
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with self._lock:
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if camera_id not in self._frames:
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return None
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frame_data = self._frames[camera_id]
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# Check if frame is too old
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age = time.time() - frame_data['timestamp']
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if age > self.max_age_seconds:
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logger.debug(f"Frame for camera {camera_id} is {age:.1f}s old, discarding")
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del self._frames[camera_id]
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return None
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return frame_data['frame'].copy()
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def get_frame_info(self, camera_id: str) -> Optional[Dict[str, Any]]:
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"""Get frame metadata without copying the frame data."""
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with self._lock:
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if camera_id not in self._frames:
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return None
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frame_data = self._frames[camera_id]
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age = time.time() - frame_data['timestamp']
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if age > self.max_age_seconds:
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del self._frames[camera_id]
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return None
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return {
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'timestamp': frame_data['timestamp'],
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'age': age,
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'shape': frame_data['shape'],
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'dtype': frame_data['dtype'],
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'size_mb': frame_data.get('size_mb', 0)
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}
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def has_frame(self, camera_id: str) -> bool:
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"""Check if a valid frame exists for the camera."""
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return self.get_frame_info(camera_id) is not None
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def clear_camera(self, camera_id: str):
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"""Remove all frames for a specific camera."""
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with self._lock:
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if camera_id in self._frames:
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del self._frames[camera_id]
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logger.debug(f"Cleared frames for camera {camera_id}")
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def clear_all(self):
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"""Clear all stored frames."""
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with self._lock:
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count = len(self._frames)
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self._frames.clear()
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logger.debug(f"Cleared all frames ({count} cameras)")
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def get_camera_list(self) -> list:
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"""Get list of cameras with valid frames."""
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with self._lock:
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current_time = time.time()
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valid_cameras = []
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expired_cameras = []
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for camera_id, frame_data in self._frames.items():
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age = current_time - frame_data['timestamp']
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if age <= self.max_age_seconds:
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valid_cameras.append(camera_id)
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else:
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expired_cameras.append(camera_id)
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# Clean up expired frames
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for camera_id in expired_cameras:
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del self._frames[camera_id]
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return valid_cameras
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def get_stats(self) -> Dict[str, Any]:
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"""Get buffer statistics."""
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with self._lock:
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current_time = time.time()
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stats = {
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'total_cameras': len(self._frames),
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'valid_cameras': 0,
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'expired_cameras': 0,
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'total_memory_mb': 0,
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'cameras': {}
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}
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for camera_id, frame_data in self._frames.items():
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age = current_time - frame_data['timestamp']
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size_mb = frame_data.get('size_mb', 0)
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if age <= self.max_age_seconds:
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stats['valid_cameras'] += 1
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else:
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stats['expired_cameras'] += 1
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stats['total_memory_mb'] += size_mb
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stats['cameras'][camera_id] = {
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'age': age,
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'valid': age <= self.max_age_seconds,
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'shape': frame_data['shape'],
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'dtype': frame_data['dtype'],
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'size_mb': size_mb
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}
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return stats
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def _validate_frame(self, frame: np.ndarray) -> bool:
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"""Validate frame - basic validation for any stream type."""
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if frame is None or frame.size == 0:
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return False
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h, w = frame.shape[:2]
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size_mb = frame.nbytes / (1024 * 1024)
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# Basic size validation - reject extremely large frames regardless of type
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max_size_mb = 50 # Generous limit for any frame type
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if size_mb > max_size_mb:
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logger.warning(f"Frame too large: {size_mb:.2f}MB (max {max_size_mb}MB) for {w}x{h}")
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return False
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# Basic dimension validation
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if w < 100 or h < 100:
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logger.warning(f"Frame too small: {w}x{h}")
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return False
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return True
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class CacheBuffer:
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"""Enhanced frame cache with support for cropping."""
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def __init__(self, max_age_seconds: int = 10):
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self.frame_buffer = FrameBuffer(max_age_seconds)
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self._crop_cache: Dict[str, Dict[str, Any]] = {}
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self._cache_lock = threading.RLock()
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self.jpeg_quality = 95 # High quality for all frames
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def put_frame(self, camera_id: str, frame: np.ndarray):
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"""Store a frame and clear any associated crop cache."""
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self.frame_buffer.put_frame(camera_id, frame)
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# Clear crop cache for this camera since we have a new frame
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with self._cache_lock:
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keys_to_remove = [key for key in self._crop_cache.keys() if key.startswith(f"{camera_id}_")]
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for key in keys_to_remove:
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del self._crop_cache[key]
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def get_frame(self, camera_id: str, crop_coords: Optional[Tuple[int, int, int, int]] = None) -> Optional[np.ndarray]:
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"""Get frame with optional cropping."""
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if crop_coords is None:
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return self.frame_buffer.get_frame(camera_id)
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# Check crop cache first
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crop_key = f"{camera_id}_{crop_coords}"
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with self._cache_lock:
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if crop_key in self._crop_cache:
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cache_entry = self._crop_cache[crop_key]
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age = time.time() - cache_entry['timestamp']
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if age <= self.frame_buffer.max_age_seconds:
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return cache_entry['cropped_frame'].copy()
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else:
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del self._crop_cache[crop_key]
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# Get original frame and crop it
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original_frame = self.frame_buffer.get_frame(camera_id)
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if original_frame is None:
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return None
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try:
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x1, y1, x2, y2 = crop_coords
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# Ensure coordinates are within frame bounds
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h, w = original_frame.shape[:2]
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x1 = max(0, min(x1, w))
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y1 = max(0, min(y1, h))
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x2 = max(x1, min(x2, w))
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y2 = max(y1, min(y2, h))
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cropped_frame = original_frame[y1:y2, x1:x2]
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# Cache the cropped frame
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with self._cache_lock:
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# Limit cache size to prevent memory issues
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if len(self._crop_cache) > 100:
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# Remove oldest entries
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oldest_keys = sorted(self._crop_cache.keys(),
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key=lambda k: self._crop_cache[k]['timestamp'])[:50]
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for key in oldest_keys:
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del self._crop_cache[key]
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self._crop_cache[crop_key] = {
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'cropped_frame': cropped_frame.copy(),
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'timestamp': time.time(),
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'crop_coords': (x1, y1, x2, y2)
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}
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return cropped_frame
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except Exception as e:
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logger.error(f"Error cropping frame for camera {camera_id}: {e}")
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return original_frame
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def get_frame_as_jpeg(self, camera_id: str, crop_coords: Optional[Tuple[int, int, int, int]] = None,
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quality: Optional[int] = None) -> Optional[bytes]:
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"""Get frame as JPEG bytes."""
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frame = self.get_frame(camera_id, crop_coords)
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if frame is None:
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return None
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try:
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# Use specified quality or default
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if quality is None:
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quality = self.jpeg_quality
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# Encode as JPEG with specified quality
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encode_params = [cv2.IMWRITE_JPEG_QUALITY, quality]
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success, encoded_img = cv2.imencode('.jpg', frame, encode_params)
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if success:
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jpeg_bytes = encoded_img.tobytes()
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logger.debug(f"Encoded JPEG for camera {camera_id}: quality={quality}, size={len(jpeg_bytes)} bytes")
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return jpeg_bytes
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return None
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except Exception as e:
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logger.error(f"Error encoding frame as JPEG for camera {camera_id}: {e}")
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return None
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def has_frame(self, camera_id: str) -> bool:
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"""Check if a valid frame exists for the camera."""
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return self.frame_buffer.has_frame(camera_id)
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def clear_camera(self, camera_id: str):
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"""Remove all frames and cache for a specific camera."""
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self.frame_buffer.clear_camera(camera_id)
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with self._cache_lock:
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# Clear crop cache entries for this camera
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keys_to_remove = [key for key in self._crop_cache.keys() if key.startswith(f"{camera_id}_")]
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for key in keys_to_remove:
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del self._crop_cache[key]
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def clear_all(self):
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"""Clear all stored frames and cache."""
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self.frame_buffer.clear_all()
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with self._cache_lock:
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self._crop_cache.clear()
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def get_stats(self) -> Dict[str, Any]:
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"""Get comprehensive buffer and cache statistics."""
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buffer_stats = self.frame_buffer.get_stats()
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with self._cache_lock:
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cache_stats = {
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'crop_cache_entries': len(self._crop_cache),
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'crop_cache_cameras': len(set(key.split('_')[0] for key in self._crop_cache.keys() if '_' in key)),
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'crop_cache_memory_mb': sum(
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entry['cropped_frame'].nbytes / (1024 * 1024)
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for entry in self._crop_cache.values()
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)
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}
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return {
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'buffer': buffer_stats,
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'cache': cache_stats,
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'total_memory_mb': buffer_stats.get('total_memory_mb', 0) + cache_stats.get('crop_cache_memory_mb', 0)
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}
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# Global shared instances for application use
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shared_frame_buffer = FrameBuffer(max_age_seconds=5)
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shared_cache_buffer = CacheBuffer(max_age_seconds=10)
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