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https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
skip frames in the capture thread instead
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parent
15b4024715
commit
760e1ffe1d
@ -110,13 +110,6 @@ cameras:
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################
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################
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take_frame: 1
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take_frame: 1
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################
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# The expected framerate for the camera. Frigate will try and ensure it maintains this framerate
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# by dropping frames as necessary. Setting this lower than the actual framerate will allow frigate
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# to process every frame at the expense of realtime processing.
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################
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fps: 5
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################
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################
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# Configuration for the snapshots in the debug view and mqtt
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# Configuration for the snapshots in the debug view and mqtt
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################
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################
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@ -105,14 +105,13 @@ class CameraWatchdog(threading.Thread):
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process = camera_process['process']
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process = camera_process['process']
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if not process.is_alive():
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if not process.is_alive():
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print(f"Track process for {name} is not alive. Starting again...")
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print(f"Track process for {name} is not alive. Starting again...")
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camera_process['fps'].value = float(self.config[name]['fps'])
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camera_process['process_fps'].value = 0.0
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camera_process['skipped_fps'].value = 0.0
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camera_process['detection_fps'].value = 0.0
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camera_process['detection_fps'].value = 0.0
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camera_process['read_start'].value = 0.0
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camera_process['read_start'].value = 0.0
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process = mp.Process(target=track_camera, args=(name, self.config[name], GLOBAL_OBJECT_CONFIG, camera_process['frame_queue'],
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process = mp.Process(target=track_camera, args=(name, self.config[name], GLOBAL_OBJECT_CONFIG, camera_process['frame_queue'],
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camera_process['frame_shape'], self.tflite_process.detection_queue, self.tracked_objects_queue,
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camera_process['frame_shape'], self.tflite_process.detection_queue, self.tracked_objects_queue,
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camera_process['fps'], camera_process['skipped_fps'], camera_process['detection_fps'],
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camera_process['process_fps'], camera_process['detection_fps'],
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camera_process['read_start']))
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camera_process['read_start'], camera_process['detection_frame']))
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process.daemon = True
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process.daemon = True
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camera_process['process'] = process
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camera_process['process'] = process
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process.start()
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process.start()
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@ -123,7 +122,7 @@ class CameraWatchdog(threading.Thread):
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frame_size = frame_shape[0] * frame_shape[1] * frame_shape[2]
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frame_size = frame_shape[0] * frame_shape[1] * frame_shape[2]
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ffmpeg_process = start_or_restart_ffmpeg(camera_process['ffmpeg_cmd'], frame_size)
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ffmpeg_process = start_or_restart_ffmpeg(camera_process['ffmpeg_cmd'], frame_size)
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camera_capture = CameraCapture(name, ffmpeg_process, frame_shape, camera_process['frame_queue'],
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camera_capture = CameraCapture(name, ffmpeg_process, frame_shape, camera_process['frame_queue'],
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camera_process['take_frame'], camera_process['camera_fps'])
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camera_process['take_frame'], camera_process['camera_fps'], camera_process['detection_frame'])
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camera_capture.start()
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camera_capture.start()
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camera_process['ffmpeg_process'] = ffmpeg_process
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camera_process['ffmpeg_process'] = ffmpeg_process
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camera_process['capture_thread'] = camera_capture
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camera_process['capture_thread'] = camera_capture
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@ -193,20 +192,21 @@ def main():
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frame_size = frame_shape[0] * frame_shape[1] * frame_shape[2]
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frame_size = frame_shape[0] * frame_shape[1] * frame_shape[2]
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take_frame = config.get('take_frame', 1)
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take_frame = config.get('take_frame', 1)
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detection_frame = mp.Value('d', 0.0)
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ffmpeg_process = start_or_restart_ffmpeg(ffmpeg_cmd, frame_size)
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ffmpeg_process = start_or_restart_ffmpeg(ffmpeg_cmd, frame_size)
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frame_queue = mp.SimpleQueue()
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frame_queue = mp.SimpleQueue()
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camera_fps = EventsPerSecond()
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camera_fps = EventsPerSecond()
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camera_fps.start()
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camera_fps.start()
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camera_capture = CameraCapture(name, ffmpeg_process, frame_shape, frame_queue, take_frame, camera_fps)
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camera_capture = CameraCapture(name, ffmpeg_process, frame_shape, frame_queue, take_frame, camera_fps, detection_frame)
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camera_capture.start()
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camera_capture.start()
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camera_processes[name] = {
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camera_processes[name] = {
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'camera_fps': camera_fps,
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'camera_fps': camera_fps,
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'take_frame': take_frame,
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'take_frame': take_frame,
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'fps': mp.Value('d', float(config['fps'])),
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'process_fps': mp.Value('d', 0.0),
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'skipped_fps': mp.Value('d', 0.0),
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'detection_fps': mp.Value('d', 0.0),
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'detection_fps': mp.Value('d', 0.0),
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'detection_frame': mp.Value('d', 0.0),
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'detection_frame': detection_frame,
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'read_start': mp.Value('d', 0.0),
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'read_start': mp.Value('d', 0.0),
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'ffmpeg_process': ffmpeg_process,
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'ffmpeg_process': ffmpeg_process,
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'ffmpeg_cmd': ffmpeg_cmd,
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'ffmpeg_cmd': ffmpeg_cmd,
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@ -216,8 +216,8 @@ def main():
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}
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}
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camera_process = mp.Process(target=track_camera, args=(name, config, GLOBAL_OBJECT_CONFIG, frame_queue, frame_shape,
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camera_process = mp.Process(target=track_camera, args=(name, config, GLOBAL_OBJECT_CONFIG, frame_queue, frame_shape,
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tflite_process.detection_queue, tracked_objects_queue, camera_processes[name]['fps'],
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tflite_process.detection_queue, tracked_objects_queue, camera_processes[name]['process_fps'],
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camera_processes[name]['skipped_fps'], camera_processes[name]['detection_fps'],
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camera_processes[name]['detection_fps'],
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camera_processes[name]['read_start'], camera_processes[name]['detection_frame']))
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camera_processes[name]['read_start'], camera_processes[name]['detection_frame']))
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camera_process.daemon = True
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camera_process.daemon = True
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camera_processes[name]['process'] = camera_process
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camera_processes[name]['process'] = camera_process
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@ -267,15 +267,17 @@ def main():
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for name, camera_stats in camera_processes.items():
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for name, camera_stats in camera_processes.items():
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total_detection_fps += camera_stats['detection_fps'].value
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total_detection_fps += camera_stats['detection_fps'].value
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capture_thread = camera_stats['capture_thread']
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stats[name] = {
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stats[name] = {
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'fps': round(camera_stats['fps'].value, 2),
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'camera_fps': round(capture_thread.fps.eps(), 2),
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'skipped_fps': round(camera_stats['skipped_fps'].value, 2),
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'process_fps': round(camera_stats['process_fps'].value, 2),
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'skipped_fps': round(capture_thread.skipped_fps.eps(), 2),
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'detection_fps': round(camera_stats['detection_fps'].value, 2),
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'detection_fps': round(camera_stats['detection_fps'].value, 2),
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'read_start': camera_stats['read_start'].value,
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'read_start': camera_stats['read_start'].value,
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'pid': camera_stats['process'].pid,
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'pid': camera_stats['process'].pid,
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'ffmpeg_pid': camera_stats['ffmpeg_process'].pid,
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'ffmpeg_pid': camera_stats['ffmpeg_process'].pid,
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'frame_info': {
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'frame_info': {
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'read': camera_stats['capture_thread'].current_frame,
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'read': capture_thread.current_frame,
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'detect': camera_stats['detection_frame'].value,
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'detect': camera_stats['detection_frame'].value,
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'process': object_processor.camera_data[name]['current_frame_time']
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'process': object_processor.camera_data[name]['current_frame_time']
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}
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}
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@ -115,7 +115,7 @@ def start_or_restart_ffmpeg(ffmpeg_cmd, frame_size, ffmpeg_process=None):
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return process
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return process
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class CameraCapture(threading.Thread):
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class CameraCapture(threading.Thread):
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def __init__(self, name, ffmpeg_process, frame_shape, frame_queue, take_frame, fps):
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def __init__(self, name, ffmpeg_process, frame_shape, frame_queue, take_frame, fps, detection_frame):
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threading.Thread.__init__(self)
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threading.Thread.__init__(self)
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self.name = name
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self.name = name
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self.frame_shape = frame_shape
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self.frame_shape = frame_shape
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@ -123,12 +123,16 @@ class CameraCapture(threading.Thread):
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self.frame_queue = frame_queue
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self.frame_queue = frame_queue
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self.take_frame = take_frame
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self.take_frame = take_frame
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self.fps = fps
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self.fps = fps
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self.skipped_fps = EventsPerSecond()
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self.plasma_client = PlasmaManager()
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self.plasma_client = PlasmaManager()
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self.ffmpeg_process = ffmpeg_process
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self.ffmpeg_process = ffmpeg_process
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self.current_frame = 0
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self.current_frame = 0
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self.last_frame = 0
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self.detection_frame = detection_frame
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def run(self):
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def run(self):
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frame_num = 0
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frame_num = 0
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self.skipped_fps.start()
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while True:
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while True:
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if self.ffmpeg_process.poll() != None:
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if self.ffmpeg_process.poll() != None:
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print(f"{self.name}: ffmpeg process is not running. exiting capture thread...")
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print(f"{self.name}: ffmpeg process is not running. exiting capture thread...")
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@ -141,8 +145,16 @@ class CameraCapture(threading.Thread):
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print(f"{self.name}: ffmpeg didnt return a frame. something is wrong.")
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print(f"{self.name}: ffmpeg didnt return a frame. something is wrong.")
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continue
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continue
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self.fps.update()
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frame_num += 1
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frame_num += 1
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if (frame_num % self.take_frame) != 0:
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if (frame_num % self.take_frame) != 0:
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self.skipped_fps.update()
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continue
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# if the detection process is more than 1 second behind, skip this frame
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if self.detection_frame.value > 0.0 and (self.last_frame - self.detection_frame.value) > 1:
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self.skipped_fps.update()
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continue
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continue
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# put the frame in the plasma store
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# put the frame in the plasma store
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@ -153,13 +165,14 @@ class CameraCapture(threading.Thread):
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)
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)
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# add to the queue
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# add to the queue
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self.frame_queue.put(self.current_frame)
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self.frame_queue.put(self.current_frame)
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self.last_frame = self.current_frame
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self.fps.update()
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def track_camera(name, config, global_objects_config, frame_queue, frame_shape, detection_queue, detected_objects_queue, fps, detection_fps, read_start, detection_frame):
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def track_camera(name, config, global_objects_config, frame_queue, frame_shape, detection_queue, detected_objects_queue, fps, skipped_fps, detection_fps, read_start, detection_frame):
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print(f"Starting process for {name}: {os.getpid()}")
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print(f"Starting process for {name}: {os.getpid()}")
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listen()
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listen()
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detection_frame.value = 0.0
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# Merge the tracked object config with the global config
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# Merge the tracked object config with the global config
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camera_objects_config = config.get('objects', {})
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camera_objects_config = config.get('objects', {})
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# combine tracked objects lists
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# combine tracked objects lists
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@ -172,8 +185,6 @@ def track_camera(name, config, global_objects_config, frame_queue, frame_shape,
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for obj in objects_with_config:
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for obj in objects_with_config:
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object_filters[obj] = {**global_object_filters.get(obj, {}), **camera_object_filters.get(obj, {})}
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object_filters[obj] = {**global_object_filters.get(obj, {}), **camera_object_filters.get(obj, {})}
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expected_fps = config['fps']
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frame = np.zeros(frame_shape, np.uint8)
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frame = np.zeros(frame_shape, np.uint8)
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# load in the mask for object detection
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# load in the mask for object detection
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@ -192,12 +203,9 @@ def track_camera(name, config, global_objects_config, frame_queue, frame_shape,
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object_tracker = ObjectTracker(10)
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object_tracker = ObjectTracker(10)
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plasma_client = PlasmaManager()
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plasma_client = PlasmaManager()
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frame_num = 0
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avg_wait = 0.0
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avg_wait = 0.0
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fps_tracker = EventsPerSecond()
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fps_tracker = EventsPerSecond()
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skipped_fps_tracker = EventsPerSecond()
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fps_tracker.start()
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fps_tracker.start()
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skipped_fps_tracker.start()
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object_detector.fps.start()
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object_detector.fps.start()
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while True:
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while True:
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read_start.value = datetime.datetime.now().timestamp()
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read_start.value = datetime.datetime.now().timestamp()
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@ -207,30 +215,19 @@ def track_camera(name, config, global_objects_config, frame_queue, frame_shape,
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avg_wait = (avg_wait*99+duration)/100
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avg_wait = (avg_wait*99+duration)/100
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detection_frame.value = frame_time
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detection_frame.value = frame_time
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fps_tracker.update()
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fps.value = fps_tracker.eps()
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detection_fps.value = object_detector.fps.eps()
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# Get frame from plasma store
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# Get frame from plasma store
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frame = plasma_client.get(f"{name}{frame_time}")
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frame = plasma_client.get(f"{name}{frame_time}")
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if frame is plasma.ObjectNotAvailable:
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if frame is plasma.ObjectNotAvailable:
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skipped_fps_tracker.update()
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skipped_fps.value = skipped_fps_tracker.eps()
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continue
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continue
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fps_tracker.update()
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fps.value = fps_tracker.eps()
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detection_fps.value = object_detector.fps.eps()
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# look for motion
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# look for motion
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motion_boxes = motion_detector.detect(frame)
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motion_boxes = motion_detector.detect(frame)
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# skip object detection if we are below the min_fps and wait time is less than half the average
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if frame_num > 100 and fps.value < expected_fps-1 and duration < 0.5*avg_wait:
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skipped_fps_tracker.update()
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skipped_fps.value = skipped_fps_tracker.eps()
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plasma_client.delete(f"{name}{frame_time}")
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continue
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skipped_fps.value = skipped_fps_tracker.eps()
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tracked_objects = object_tracker.tracked_objects.values()
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tracked_objects = object_tracker.tracked_objects.values()
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# merge areas of motion that intersect with a known tracked object into a single area to look at
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# merge areas of motion that intersect with a known tracked object into a single area to look at
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