blakeblackshear.frigate/frigate/__main__.py
2020-12-05 08:48:46 -06:00

209 lines
8.2 KiB
Python

import faulthandler; faulthandler.enable()
import os
import json
import yaml
import multiprocessing as mp
from playhouse.sqlite_ext import *
from typing import Dict, List
from frigate.config import FRIGATE_CONFIG_SCHEMA
from frigate.edgetpu import EdgeTPUProcess
from frigate.events import EventProcessor
from frigate.http import create_app
from frigate.models import Event
from frigate.mqtt import create_mqtt_client
from frigate.object_processing import TrackedObjectProcessor
from frigate.video import get_frame_shape, track_camera, get_ffmpeg_input, capture_camera
class FrigateApp():
def __init__(self):
self.stop_event = mp.Event()
self.config: dict = None
self.detection_queue = mp.Queue()
self.detectors: Dict[str: EdgeTPUProcess] = {}
self.detection_out_events: Dict[str: mp.Event] = {}
self.detection_shms: List[mp.shared_memory.SharedMemory] = []
self.camera_metrics = {}
def init_config(self):
config_file = os.environ.get('CONFIG_FILE', '/config/config.yml')
if config_file.endswith(".yml"):
with open(config_file) as f:
config = yaml.safe_load(f)
elif config_file.endswith(".json"):
with open(config_file) as f:
config = json.load(f)
self.config = FRIGATE_CONFIG_SCHEMA(config)
for camera_name, camera_config in self.config['cameras'].items():
# set shape
if 'width' in camera_config and 'height' in camera_config:
frame_shape = (camera_config['height'], camera_config['width'], 3)
else:
frame_shape = get_frame_shape(camera_config['ffmpeg']['input'])
camera_config['frame_shape'] = frame_shape
# build ffmpeg command
ffmpeg = camera_config['ffmpeg']
ffmpeg_input = ffmpeg['input']
ffmpeg_global_args = ffmpeg.get('global_args', self.config['ffmpeg']['global_args'])
ffmpeg_hwaccel_args = ffmpeg.get('hwaccel_args', self.config['ffmpeg']['hwaccel_args'])
ffmpeg_input_args = ffmpeg.get('input_args', self.config['ffmpeg']['input_args'])
ffmpeg_output_args = ffmpeg.get('output_args', self.config['ffmpeg']['output_args'])
if not camera_config.get('fps') is None:
ffmpeg_output_args = ["-r", str(camera_config['fps'])] + ffmpeg_output_args
if camera_config['save_clips']['enabled']:
ffmpeg_output_args = [
"-f",
"segment",
"-segment_time",
"10",
"-segment_format",
"mp4",
"-reset_timestamps",
"1",
"-strftime",
"1",
"-c",
"copy",
"-an",
"-map",
"0",
f"{os.path.join(self.config['save_clips']['cache_dir'], camera_name)}-%Y%m%d%H%M%S.mp4"
] + ffmpeg_output_args
ffmpeg_cmd = (['ffmpeg'] +
ffmpeg_global_args +
ffmpeg_hwaccel_args +
ffmpeg_input_args +
['-i', ffmpeg_input] +
ffmpeg_output_args +
['pipe:'])
camera_config['ffmpeg_cmd'] = ffmpeg_cmd
# create camera_metrics
self.camera_metrics[camera_name] = {
'camera_fps': mp.Value('d', 0.0),
'skipped_fps': mp.Value('d', 0.0),
'process_fps': mp.Value('d', 0.0),
'detection_fps': mp.Value('d', 0.0),
'detection_frame': mp.Value('d', 0.0),
'read_start': mp.Value('d', 0.0),
'ffmpeg_pid': mp.Value('i', 0),
'frame_queue': mp.Queue(maxsize=2)
}
# TODO: sub in FRIGATE_ENV vars
def init_queues(self):
# Queue for clip processing
self.event_queue = mp.Queue()
# Queue for cameras to push tracked objects to
self.detected_frames_queue = mp.Queue(maxsize=len(self.config['cameras'].keys())*2)
def init_database(self):
self.db = SqliteExtDatabase(f"/{os.path.join(self.config['save_clips']['clips_dir'], 'frigate.db')}")
models = [Event]
self.db.bind(models)
self.db.create_tables(models, safe=True)
def init_web_server(self):
self.flask_app = create_app(self.config, self.db, self.camera_metrics, self.detectors, self.detected_frames_processor)
def init_mqtt(self):
# TODO: create config class
mqtt_config = self.config['mqtt']
self.mqtt_client = create_mqtt_client(
mqtt_config['host'],
mqtt_config['port'],
mqtt_config['topic_prefix'],
mqtt_config['client_id'],
mqtt_config.get('user'),
mqtt_config.get('password')
)
def start_detectors(self):
for name in self.config['cameras'].keys():
self.detection_out_events[name] = mp.Event()
shm_in = mp.shared_memory.SharedMemory(name=name, create=True, size=300*300*3)
shm_out = mp.shared_memory.SharedMemory(name=f"out-{name}", create=True, size=20*6*4)
self.detection_shms.append(shm_in)
self.detection_shms.append(shm_out)
for name, detector in self.config['detectors'].items():
if detector['type'] == 'cpu':
self.detectors[name] = EdgeTPUProcess(self.detection_queue, out_events=self.detection_out_events, tf_device='cpu')
if detector['type'] == 'edgetpu':
self.detectors[name] = EdgeTPUProcess(self.detection_queue, out_events=self.detection_out_events, tf_device=detector['device'])
def start_detected_frames_processor(self):
self.detected_frames_processor = TrackedObjectProcessor(self.config['cameras'], self.mqtt_client, self.config['mqtt']['topic_prefix'],
self.detected_frames_queue, self.event_queue, self.stop_event)
self.detected_frames_processor.start()
def start_camera_processors(self):
for name, config in self.config['cameras'].items():
camera_process = mp.Process(target=track_camera, args=(name, config,
self.detection_queue, self.detection_out_events[name], self.detected_frames_queue,
self.camera_metrics[name]))
camera_process.daemon = True
self.camera_metrics[name]['process'] = camera_process
camera_process.start()
print(f"Camera processor started for {name}: {camera_process.pid}")
def start_camera_capture_processes(self):
for name, config in self.config['cameras'].items():
capture_process = mp.Process(target=capture_camera, args=(name, config,
self.camera_metrics[name]))
capture_process.daemon = True
self.camera_metrics[name]['capture_process'] = capture_process
capture_process.start()
print(f"Capture process started for {name}: {capture_process.pid}")
def start_event_processor(self):
self.event_processor = EventProcessor(self.config, self.camera_metrics, self.event_queue, self.stop_event)
self.event_processor.start()
def start_watchdog(self):
pass
def start(self):
self.init_config()
self.init_queues()
self.init_database()
self.init_mqtt()
self.start_detectors()
self.start_detected_frames_processor()
self.start_camera_processors()
self.start_camera_capture_processes()
self.init_web_server()
self.start_event_processor()
self.start_watchdog()
self.flask_app.run(host='0.0.0.0', port=self.config['web_port'], debug=False)
self.stop()
def stop(self):
print(f"Stopping...")
self.stop_event.set()
self.detected_frames_processor.join()
self.event_processor.join()
for detector in self.detectors.values():
detector.stop()
while len(self.detection_shms) > 0:
shm = self.detection_shms.pop()
shm.close()
shm.unlink()
if __name__ == '__main__':
frigate_app = FrigateApp()
frigate_app.start()