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add a min_fps option

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This commit is contained in:
Blake Blackshear 2020-02-16 08:49:14 -06:00
parent 80b9652f7a
commit 68c3a069ba
2 changed files with 16 additions and 9 deletions
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6
detect_objects.py
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@ -106,11 +106,11 @@ def main():
for name, config in CONFIG['cameras'].items():
camera_stats_values[name] = {
'fps': mp.Value('d', 10.0),
'avg_wait': mp.Value('d', 0.0)
'skipped_fps': mp.Value('d', 0.0)
}
camera_process = mp.Process(target=track_camera, args=(name, config, FFMPEG_DEFAULT_CONFIG, GLOBAL_OBJECT_CONFIG,
tflite_process.detect_lock, tflite_process.detect_ready, tflite_process.frame_ready, tracked_objects_queue,
camera_stats_values[name]['fps'], camera_stats_values[name]['avg_wait']))
camera_stats_values[name]['fps'], camera_stats_values[name]['skipped_fps']))
camera_process.daemon = True
camera_processes.append(camera_process)
@ -141,7 +141,7 @@ def main():
for name, camera_stats in camera_stats_values.items():
stats[name] = {
'fps': camera_stats['fps'].value,
'avg_wait': camera_stats['avg_wait'].value
'skipped_fps': camera_stats['skipped_fps'].value
}
return jsonify(stats)

19
frigate/video.py
View File

@ -670,7 +670,7 @@ def create_tensor_input(frame, region):
# Expand dimensions since the model expects images to have shape: [1, 300, 300, 3]
return np.expand_dims(cropped_frame, axis=0)
def track_camera(name, config, ffmpeg_global_config, global_objects_config, detect_lock, detect_ready, frame_ready, detected_objects_queue, fps, avg_wait):
def track_camera(name, config, ffmpeg_global_config, global_objects_config, detect_lock, detect_ready, frame_ready, detected_objects_queue, fps, skipped_fps):
print(f"Starting process for {name}: {os.getpid()}")
# Merge the ffmpeg config with the global config
@ -693,8 +693,10 @@ def track_camera(name, config, ffmpeg_global_config, global_objects_config, dete
for obj in objects_with_config:
object_filters[obj] = {**global_object_filters.get(obj, {}), **camera_object_filters.get(obj, {})}
min_fps = config.get('min_fps', 0)
take_frame = config.get('take_frame', 1)
# TODO: some kind of watchdog replacement...
# watchdog_timeout = config.get('watchdog_timeout', 300)
frame_shape = get_frame_shape(ffmpeg_input)
@ -737,14 +739,11 @@ def track_camera(name, config, ffmpeg_global_config, global_objects_config, dete
plasma_client = plasma.connect("/tmp/plasma")
frame_num = 0
fps_tracker = EventsPerSecond()
skipped_fps_tracker = EventsPerSecond()
fps_tracker.start()
skipped_fps_tracker.start()
while True:
# TODO: implement something to determine if it had to wait for a frame at all
# to determine if it might be behind and the buffer is filling up
start = datetime.datetime.now().timestamp()
frame_bytes = ffmpeg_process.stdout.read(frame_size)
duration = datetime.datetime.now().timestamp()-start
avg_wait.value = (avg_wait.value*9 + duration)/10
if not frame_bytes:
# TODO: restart the ffmpeg process and track number of restarts
@ -768,6 +767,14 @@ def track_camera(name, config, ffmpeg_global_config, global_objects_config, dete
# look for motion
motion_boxes = motion_detector.detect(frame)
# skip object detection if we are below the min_fps
if frame_num > 50 and fps.value < min_fps:
skipped_fps_tracker.update()
skipped_fps.value = skipped_fps_tracker.eps()
continue
skipped_fps.value = skipped_fps_tracker.eps()
tracked_objects = object_tracker.tracked_objects.values()
# merge areas of motion that intersect with a known tracked object into a single area to look at