mirror of
https://github.com/blakeblackshear/frigate.git
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init db/http/mqtt
This commit is contained in:
Blake Blackshear
parent
a8964dcc1f
commit
72be6b480d
@ -1,472 +1,14 @@
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import faulthandler; faulthandler.enable()
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import os
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import signal
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import sys
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import traceback
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import signal
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import cv2
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import time
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import datetime
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import queue
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import yaml
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import os
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import json
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import threading
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import yaml
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import multiprocessing as mp
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import subprocess as sp
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import numpy as np
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import logging
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from flask import Flask, Response, make_response, jsonify, request
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import paho.mqtt.client as mqtt
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from peewee import *
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from playhouse.shortcuts import model_to_dict
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from playhouse.sqlite_ext import *
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from playhouse.flask_utils import FlaskDB
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from frigate.video import capture_camera, track_camera, get_ffmpeg_input, get_frame_shape, CameraCapture, start_or_restart_ffmpeg
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from frigate.object_processing import TrackedObjectProcessor
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from frigate.events import EventProcessor
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from frigate.util import EventsPerSecond
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from frigate.edgetpu import EdgeTPUProcess
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from frigate.config import FRIGATE_CONFIG_SCHEMA
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FRIGATE_VARS = {k: v for k, v in os.environ.items() if k.startswith('FRIGATE_')}
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CONFIG_FILE = os.environ.get('CONFIG_FILE', '/config/config.yml')
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if CONFIG_FILE.endswith(".yml"):
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with open(CONFIG_FILE) as f:
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CONFIG = yaml.safe_load(f)
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elif CONFIG_FILE.endswith(".json"):
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with open(CONFIG_FILE) as f:
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CONFIG = json.load(f)
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CACHE_DIR = CONFIG.get('save_clips', {}).get('cache_dir', '/cache')
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CLIPS_DIR = CONFIG.get('save_clips', {}).get('clips_dir', '/clips')
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if not os.path.exists(CACHE_DIR) and not os.path.islink(CACHE_DIR):
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os.makedirs(CACHE_DIR)
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if not os.path.exists(CLIPS_DIR) and not os.path.islink(CLIPS_DIR):
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os.makedirs(CLIPS_DIR)
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DATABASE = f"sqliteext:///{os.path.join(CLIPS_DIR, 'frigate.db')}"
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MQTT_HOST = CONFIG['mqtt']['host']
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MQTT_PORT = CONFIG.get('mqtt', {}).get('port', 1883)
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MQTT_TOPIC_PREFIX = CONFIG.get('mqtt', {}).get('topic_prefix', 'frigate')
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MQTT_USER = CONFIG.get('mqtt', {}).get('user')
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MQTT_PASS = CONFIG.get('mqtt', {}).get('password')
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if not MQTT_PASS is None:
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MQTT_PASS = MQTT_PASS.format(**FRIGATE_VARS)
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MQTT_CLIENT_ID = CONFIG.get('mqtt', {}).get('client_id', 'frigate')
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# Set the default FFmpeg config
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FFMPEG_CONFIG = CONFIG.get('ffmpeg', {})
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FFMPEG_DEFAULT_CONFIG = {
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'global_args': FFMPEG_CONFIG.get('global_args',
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['-hide_banner','-loglevel','panic']),
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'hwaccel_args': FFMPEG_CONFIG.get('hwaccel_args',
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[]),
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'input_args': FFMPEG_CONFIG.get('input_args',
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['-avoid_negative_ts', 'make_zero',
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'-fflags', 'nobuffer',
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'-flags', 'low_delay',
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'-strict', 'experimental',
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'-fflags', '+genpts+discardcorrupt',
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'-rtsp_transport', 'tcp',
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'-stimeout', '5000000',
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'-use_wallclock_as_timestamps', '1']),
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'output_args': FFMPEG_CONFIG.get('output_args',
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['-f', 'rawvideo',
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'-pix_fmt', 'yuv420p'])
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}
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GLOBAL_OBJECT_CONFIG = CONFIG.get('objects', {})
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WEB_PORT = CONFIG.get('web_port', 5000)
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DETECTORS = CONFIG.get('detectors', {'coral': {'type': 'edgetpu', 'device': 'usb'}})
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# create a flask app
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app = Flask(__name__)
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app.config.from_object(__name__)
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flask_db = FlaskDB(app)
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db = flask_db.database
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log = logging.getLogger('werkzeug')
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log.setLevel(logging.ERROR)
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peewee_log = logging.getLogger('peewee')
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peewee_log.addHandler(logging.StreamHandler())
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peewee_log.setLevel(logging.DEBUG)
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class Event(flask_db.Model):
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id = CharField(null=False, primary_key=True, max_length=30)
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label = CharField(index=True, max_length=20)
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camera = CharField(index=True, max_length=20)
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start_time = DateTimeField()
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end_time = DateTimeField()
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top_score = FloatField()
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false_positive = BooleanField()
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zones = JSONField()
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def init_db():
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db.create_tables([Event], safe=True)
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class FrigateWatchdog(threading.Thread):
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def __init__(self, camera_processes, config, detectors, detection_queue, out_events, tracked_objects_queue, stop_event):
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threading.Thread.__init__(self)
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self.camera_processes = camera_processes
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self.config = config
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self.detectors = detectors
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self.detection_queue = detection_queue
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self.out_events = out_events
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self.tracked_objects_queue = tracked_objects_queue
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self.stop_event = stop_event
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def run(self):
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time.sleep(10)
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while True:
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# wait a bit before checking
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time.sleep(10)
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if self.stop_event.is_set():
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print(f"Exiting watchdog...")
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break
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now = datetime.datetime.now().timestamp()
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# check the detection processes
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for detector in self.detectors.values():
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detection_start = detector.detection_start.value
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if (detection_start > 0.0 and
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now - detection_start > 10):
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print("Detection appears to be stuck. Restarting detection process")
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detector.start_or_restart()
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elif not detector.detect_process.is_alive():
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print("Detection appears to have stopped. Restarting detection process")
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detector.start_or_restart()
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# check the camera processes
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for name, camera_process in self.camera_processes.items():
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process = camera_process['process']
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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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camera_process['camera_fps'].value = 0.0
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camera_process['process_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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process = mp.Process(target=track_camera, args=(name, self.config,
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self.detection_queue, self.out_events[name], self.tracked_objects_queue, camera_process, self.stop_event))
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process.daemon = True
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camera_process['process'] = process
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process.start()
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print(f"Track process started for {name}: {process.pid}")
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def main():
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stop_event = threading.Event()
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# connect to mqtt and setup last will
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def on_connect(client, userdata, flags, rc):
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print("On connect called")
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if rc != 0:
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if rc == 3:
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print ("MQTT Server unavailable")
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elif rc == 4:
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print ("MQTT Bad username or password")
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elif rc == 5:
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print ("MQTT Not authorized")
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else:
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print ("Unable to connect to MQTT: Connection refused. Error code: " + str(rc))
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# publish a message to signal that the service is running
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client.publish(MQTT_TOPIC_PREFIX+'/available', 'online', retain=True)
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client = mqtt.Client(client_id=MQTT_CLIENT_ID)
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client.on_connect = on_connect
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client.will_set(MQTT_TOPIC_PREFIX+'/available', payload='offline', qos=1, retain=True)
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if not MQTT_USER is None:
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client.username_pw_set(MQTT_USER, password=MQTT_PASS)
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client.connect(MQTT_HOST, MQTT_PORT, 60)
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client.loop_start()
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##
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# Setup config defaults for cameras
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##
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for name, config in CONFIG['cameras'].items():
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config['snapshots'] = {
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'show_timestamp': config.get('snapshots', {}).get('show_timestamp', True),
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'draw_zones': config.get('snapshots', {}).get('draw_zones', False),
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'draw_bounding_boxes': config.get('snapshots', {}).get('draw_bounding_boxes', True)
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}
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config['zones'] = config.get('zones', {})
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# Queue for cameras to push tracked objects to
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tracked_objects_queue = mp.Queue(maxsize=len(CONFIG['cameras'].keys())*2)
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# Queue for clip processing
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event_queue = mp.Queue()
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# create the detection pipes and shms
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out_events = {}
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camera_shms = []
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for name in CONFIG['cameras'].keys():
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out_events[name] = mp.Event()
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shm_in = mp.shared_memory.SharedMemory(name=name, create=True, size=300*300*3)
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shm_out = mp.shared_memory.SharedMemory(name=f"out-{name}", create=True, size=20*6*4)
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camera_shms.append(shm_in)
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camera_shms.append(shm_out)
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detection_queue = mp.Queue()
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detectors = {}
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for name, detector in DETECTORS.items():
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if detector['type'] == 'cpu':
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detectors[name] = EdgeTPUProcess(detection_queue, out_events=out_events, tf_device='cpu')
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if detector['type'] == 'edgetpu':
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detectors[name] = EdgeTPUProcess(detection_queue, out_events=out_events, tf_device=detector['device'])
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# create the camera processes
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camera_process_info = {}
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for name, config in CONFIG['cameras'].items():
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# Merge the ffmpeg config with the global config
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ffmpeg = config.get('ffmpeg', {})
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ffmpeg_input = get_ffmpeg_input(ffmpeg['input'])
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ffmpeg_global_args = ffmpeg.get('global_args', FFMPEG_DEFAULT_CONFIG['global_args'])
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ffmpeg_hwaccel_args = ffmpeg.get('hwaccel_args', FFMPEG_DEFAULT_CONFIG['hwaccel_args'])
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ffmpeg_input_args = ffmpeg.get('input_args', FFMPEG_DEFAULT_CONFIG['input_args'])
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ffmpeg_output_args = ffmpeg.get('output_args', FFMPEG_DEFAULT_CONFIG['output_args'])
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if not config.get('fps') is None:
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ffmpeg_output_args = ["-r", str(config.get('fps'))] + ffmpeg_output_args
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if config.get('save_clips', {}).get('enabled', False):
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ffmpeg_output_args = [
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"-f",
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"segment",
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"-segment_time",
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"10",
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"-segment_format",
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"mp4",
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"-reset_timestamps",
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"1",
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"-strftime",
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"1",
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"-c",
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"copy",
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"-an",
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"-map",
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"0",
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f"{os.path.join(CACHE_DIR, name)}-%Y%m%d%H%M%S.mp4"
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] + ffmpeg_output_args
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ffmpeg_cmd = (['ffmpeg'] +
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ffmpeg_global_args +
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ffmpeg_hwaccel_args +
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ffmpeg_input_args +
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['-i', ffmpeg_input] +
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ffmpeg_output_args +
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['pipe:'])
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config['ffmpeg_cmd'] = ffmpeg_cmd
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if 'width' in config and 'height' in config:
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frame_shape = (config['height'], config['width'], 3)
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else:
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frame_shape = get_frame_shape(ffmpeg_input)
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config['frame_shape'] = frame_shape
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config['take_frame'] = config.get('take_frame', 1)
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camera_process_info[name] = {
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'camera_fps': mp.Value('d', 0.0),
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'skipped_fps': mp.Value('d', 0.0),
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'process_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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'read_start': mp.Value('d', 0.0),
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'ffmpeg_pid': mp.Value('i', 0),
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'frame_queue': mp.Queue(maxsize=2)
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}
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# merge global object config into camera object config
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camera_objects_config = config.get('objects', {})
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# get objects to track for camera
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objects_to_track = camera_objects_config.get('track', GLOBAL_OBJECT_CONFIG.get('track', ['person']))
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# get object filters
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object_filters = camera_objects_config.get('filters', GLOBAL_OBJECT_CONFIG.get('filters', {}))
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config['objects'] = {
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'track': objects_to_track,
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'filters': object_filters
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}
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capture_process = mp.Process(target=capture_camera, args=(name, config,
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camera_process_info[name], stop_event))
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capture_process.daemon = True
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camera_process_info[name]['capture_process'] = capture_process
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camera_process = mp.Process(target=track_camera, args=(name, config,
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detection_queue, out_events[name], tracked_objects_queue, camera_process_info[name], stop_event))
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camera_process.daemon = True
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camera_process_info[name]['process'] = camera_process
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# start the camera_processes
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for name, camera_process in camera_process_info.items():
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camera_process['capture_process'].start()
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print(f"Camera capture process started for {name}: {camera_process['capture_process'].pid}")
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camera_process['process'].start()
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print(f"Camera process started for {name}: {camera_process['process'].pid}")
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event_processor = EventProcessor(CONFIG, camera_process_info, CACHE_DIR, CLIPS_DIR, event_queue, stop_event, Event)
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event_processor.start()
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object_processor = TrackedObjectProcessor(CONFIG['cameras'], client, MQTT_TOPIC_PREFIX, tracked_objects_queue, event_queue, stop_event)
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object_processor.start()
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frigate_watchdog = FrigateWatchdog(camera_process_info, CONFIG['cameras'], detectors, detection_queue, out_events, tracked_objects_queue, stop_event)
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frigate_watchdog.start()
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def receiveSignal(signalNumber, frame):
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stop_event.set()
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event_processor.join()
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object_processor.join()
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frigate_watchdog.join()
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for detector in detectors.values():
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detector.stop()
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for shm in camera_shms:
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shm.close()
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shm.unlink()
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sys.exit()
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signal.signal(signal.SIGTERM, receiveSignal)
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signal.signal(signal.SIGINT, receiveSignal)
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@app.route('/')
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def ishealthy():
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# return a health
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return "Frigate is running. Alive and healthy!"
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@app.route('/debug/stack')
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def processor_stack():
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frame = sys._current_frames().get(object_processor.ident, None)
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if frame:
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return "<br>".join(traceback.format_stack(frame)), 200
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else:
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return "no frame found", 200
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@app.route('/debug/print_stack')
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def print_stack():
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pid = int(request.args.get('pid', 0))
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if pid == 0:
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return "missing pid", 200
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else:
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os.kill(pid, signal.SIGUSR1)
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return "check logs", 200
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@app.route('/events')
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def events():
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events = Event.select()
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return jsonify([model_to_dict(e) for e in events])
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@app.route('/debug/stats')
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def stats():
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stats = {}
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total_detection_fps = 0
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for name, camera_stats in camera_process_info.items():
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total_detection_fps += camera_stats['detection_fps'].value
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stats[name] = {
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'camera_fps': round(camera_stats['camera_fps'].value, 2),
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'process_fps': round(camera_stats['process_fps'].value, 2),
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'skipped_fps': round(camera_stats['skipped_fps'].value, 2),
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'detection_fps': round(camera_stats['detection_fps'].value, 2),
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'pid': camera_stats['process'].pid,
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'capture_pid': camera_stats['capture_process'].pid,
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'frame_info': {
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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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}
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}
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stats['detectors'] = {}
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for name, detector in detectors.items():
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stats['detectors'][name] = {
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'inference_speed': round(detector.avg_inference_speed.value*1000, 2),
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'detection_start': detector.detection_start.value,
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'pid': detector.detect_process.pid
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}
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stats['detection_fps'] = round(total_detection_fps, 2)
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return jsonify(stats)
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@app.route('/<camera_name>/<label>/best.jpg')
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def best(camera_name, label):
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if camera_name in CONFIG['cameras']:
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best_object = object_processor.get_best(camera_name, label)
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best_frame = best_object.get('frame')
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if best_frame is None:
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best_frame = np.zeros((720,1280,3), np.uint8)
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else:
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best_frame = cv2.cvtColor(best_frame, cv2.COLOR_YUV2BGR_I420)
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crop = bool(request.args.get('crop', 0, type=int))
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if crop:
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region = best_object.get('region', [0,0,300,300])
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best_frame = best_frame[region[1]:region[3], region[0]:region[2]]
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height = int(request.args.get('h', str(best_frame.shape[0])))
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width = int(height*best_frame.shape[1]/best_frame.shape[0])
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best_frame = cv2.resize(best_frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
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ret, jpg = cv2.imencode('.jpg', best_frame)
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response = make_response(jpg.tobytes())
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response.headers['Content-Type'] = 'image/jpg'
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return response
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else:
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return "Camera named {} not found".format(camera_name), 404
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@app.route('/<camera_name>')
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def mjpeg_feed(camera_name):
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fps = int(request.args.get('fps', '3'))
|
||||
height = int(request.args.get('h', '360'))
|
||||
if camera_name in CONFIG['cameras']:
|
||||
# return a multipart response
|
||||
return Response(imagestream(camera_name, fps, height),
|
||||
mimetype='multipart/x-mixed-replace; boundary=frame')
|
||||
else:
|
||||
return "Camera named {} not found".format(camera_name), 404
|
||||
|
||||
@app.route('/<camera_name>/latest.jpg')
|
||||
def latest_frame(camera_name):
|
||||
if camera_name in CONFIG['cameras']:
|
||||
# max out at specified FPS
|
||||
frame = object_processor.get_current_frame(camera_name)
|
||||
if frame is None:
|
||||
frame = np.zeros((720,1280,3), np.uint8)
|
||||
|
||||
height = int(request.args.get('h', str(frame.shape[0])))
|
||||
width = int(height*frame.shape[1]/frame.shape[0])
|
||||
|
||||
frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
|
||||
|
||||
ret, jpg = cv2.imencode('.jpg', frame)
|
||||
response = make_response(jpg.tobytes())
|
||||
response.headers['Content-Type'] = 'image/jpg'
|
||||
return response
|
||||
else:
|
||||
return "Camera named {} not found".format(camera_name), 404
|
||||
|
||||
def imagestream(camera_name, fps, height):
|
||||
while True:
|
||||
# max out at specified FPS
|
||||
time.sleep(1/fps)
|
||||
frame = object_processor.get_current_frame(camera_name, draw=True)
|
||||
if frame is None:
|
||||
frame = np.zeros((height,int(height*16/9),3), np.uint8)
|
||||
|
||||
width = int(height*frame.shape[1]/frame.shape[0])
|
||||
frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_LINEAR)
|
||||
|
||||
ret, jpg = cv2.imencode('.jpg', frame)
|
||||
yield (b'--frame\r\n'
|
||||
b'Content-Type: image/jpeg\r\n\r\n' + jpg.tobytes() + b'\r\n\r\n')
|
||||
|
||||
app.run(host='0.0.0.0', port=WEB_PORT, debug=False)
|
||||
|
||||
object_processor.join()
|
||||
|
||||
from frigate.http import create_app
|
||||
from frigate.models import Event
|
||||
from frigate.mqtt import create_mqtt_client
|
||||
class FrigateApp():
|
||||
def __init__(self, stop: mp.Event):
|
||||
self.stop = stop
|
||||
@ -484,14 +26,28 @@ class FrigateApp():
|
||||
|
||||
self.config = FRIGATE_CONFIG_SCHEMA(config)
|
||||
|
||||
def init_web_server(self):
|
||||
pass
|
||||
# TODO: sub in FRIGATE_ENV vars
|
||||
|
||||
def init_database(self):
|
||||
pass
|
||||
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.db)
|
||||
|
||||
def init_mqtt(self):
|
||||
pass
|
||||
# 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):
|
||||
pass
|
||||
@ -510,16 +66,19 @@ class FrigateApp():
|
||||
|
||||
def start(self):
|
||||
self.init_config()
|
||||
self.init_web_server()
|
||||
self.init_database()
|
||||
self.init_web_server()
|
||||
self.init_mqtt()
|
||||
self.start_detectors()
|
||||
self.start_detection_processor()
|
||||
self.start_frame_processors()
|
||||
self.start_camera_capture_processes()
|
||||
self.start_watchdog()
|
||||
self.flask_app.run(host='0.0.0.0', port=self.config['web_port'], debug=False)
|
||||
|
||||
if __name__ == '__main__':
|
||||
# register stop handler
|
||||
init_db()
|
||||
main()
|
||||
stop_event = mp.Event()
|
||||
frigate_app = FrigateApp(stop_event)
|
||||
frigate_app.start()
|
||||
# main()
|
||||
|
||||
142
frigate/http.py
Normal file
142
frigate/http.py
Normal file
@ -0,0 +1,142 @@
|
||||
import os
|
||||
|
||||
from flask import (
|
||||
Flask, Blueprint, jsonify
|
||||
)
|
||||
from peewee import SqliteDatabase
|
||||
from playhouse.shortcuts import model_to_dict
|
||||
|
||||
from frigate.models import Event
|
||||
|
||||
bp = Blueprint('frigate', __name__)
|
||||
|
||||
def create_app(database: SqliteDatabase):
|
||||
app = Flask(__name__)
|
||||
|
||||
@app.before_request
|
||||
def _db_connect():
|
||||
database.connect()
|
||||
|
||||
@app.teardown_request
|
||||
def _db_close(exc):
|
||||
if not database.is_closed():
|
||||
database.close()
|
||||
|
||||
app.register_blueprint(bp)
|
||||
|
||||
return app
|
||||
|
||||
@bp.route('/')
|
||||
def is_healthy():
|
||||
return "Frigate is running. Alive and healthy!"
|
||||
|
||||
@bp.route('/events')
|
||||
def events():
|
||||
events = Event.select()
|
||||
return jsonify([model_to_dict(e) for e in events])
|
||||
|
||||
# @app.route('/debug/stats')
|
||||
# def stats():
|
||||
# stats = {}
|
||||
|
||||
# total_detection_fps = 0
|
||||
|
||||
# for name, camera_stats in camera_process_info.items():
|
||||
# total_detection_fps += camera_stats['detection_fps'].value
|
||||
# stats[name] = {
|
||||
# 'camera_fps': round(camera_stats['camera_fps'].value, 2),
|
||||
# 'process_fps': round(camera_stats['process_fps'].value, 2),
|
||||
# 'skipped_fps': round(camera_stats['skipped_fps'].value, 2),
|
||||
# 'detection_fps': round(camera_stats['detection_fps'].value, 2),
|
||||
# 'pid': camera_stats['process'].pid,
|
||||
# 'capture_pid': camera_stats['capture_process'].pid,
|
||||
# 'frame_info': {
|
||||
# 'detect': camera_stats['detection_frame'].value,
|
||||
# 'process': object_processor.camera_data[name]['current_frame_time']
|
||||
# }
|
||||
# }
|
||||
|
||||
# stats['detectors'] = {}
|
||||
# for name, detector in detectors.items():
|
||||
# stats['detectors'][name] = {
|
||||
# 'inference_speed': round(detector.avg_inference_speed.value*1000, 2),
|
||||
# 'detection_start': detector.detection_start.value,
|
||||
# 'pid': detector.detect_process.pid
|
||||
# }
|
||||
# stats['detection_fps'] = round(total_detection_fps, 2)
|
||||
|
||||
# return jsonify(stats)
|
||||
|
||||
# @app.route('/<camera_name>/<label>/best.jpg')
|
||||
# def best(camera_name, label):
|
||||
# if camera_name in CONFIG['cameras']:
|
||||
# best_object = object_processor.get_best(camera_name, label)
|
||||
# best_frame = best_object.get('frame')
|
||||
# if best_frame is None:
|
||||
# best_frame = np.zeros((720,1280,3), np.uint8)
|
||||
# else:
|
||||
# best_frame = cv2.cvtColor(best_frame, cv2.COLOR_YUV2BGR_I420)
|
||||
|
||||
# crop = bool(request.args.get('crop', 0, type=int))
|
||||
# if crop:
|
||||
# region = best_object.get('region', [0,0,300,300])
|
||||
# best_frame = best_frame[region[1]:region[3], region[0]:region[2]]
|
||||
|
||||
# height = int(request.args.get('h', str(best_frame.shape[0])))
|
||||
# width = int(height*best_frame.shape[1]/best_frame.shape[0])
|
||||
|
||||
# best_frame = cv2.resize(best_frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
|
||||
# ret, jpg = cv2.imencode('.jpg', best_frame)
|
||||
# response = make_response(jpg.tobytes())
|
||||
# response.headers['Content-Type'] = 'image/jpg'
|
||||
# return response
|
||||
# else:
|
||||
# return "Camera named {} not found".format(camera_name), 404
|
||||
|
||||
# @app.route('/<camera_name>')
|
||||
# def mjpeg_feed(camera_name):
|
||||
# fps = int(request.args.get('fps', '3'))
|
||||
# height = int(request.args.get('h', '360'))
|
||||
# if camera_name in CONFIG['cameras']:
|
||||
# # return a multipart response
|
||||
# return Response(imagestream(camera_name, fps, height),
|
||||
# mimetype='multipart/x-mixed-replace; boundary=frame')
|
||||
# else:
|
||||
# return "Camera named {} not found".format(camera_name), 404
|
||||
|
||||
# @app.route('/<camera_name>/latest.jpg')
|
||||
# def latest_frame(camera_name):
|
||||
# if camera_name in CONFIG['cameras']:
|
||||
# # max out at specified FPS
|
||||
# frame = object_processor.get_current_frame(camera_name)
|
||||
# if frame is None:
|
||||
# frame = np.zeros((720,1280,3), np.uint8)
|
||||
|
||||
# height = int(request.args.get('h', str(frame.shape[0])))
|
||||
# width = int(height*frame.shape[1]/frame.shape[0])
|
||||
|
||||
# frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
|
||||
|
||||
# ret, jpg = cv2.imencode('.jpg', frame)
|
||||
# response = make_response(jpg.tobytes())
|
||||
# response.headers['Content-Type'] = 'image/jpg'
|
||||
# return response
|
||||
# else:
|
||||
# return "Camera named {} not found".format(camera_name), 404
|
||||
|
||||
# def imagestream(camera_name, fps, height):
|
||||
# while True:
|
||||
# # max out at specified FPS
|
||||
# time.sleep(1/fps)
|
||||
# frame = object_processor.get_current_frame(camera_name, draw=True)
|
||||
# if frame is None:
|
||||
# frame = np.zeros((height,int(height*16/9),3), np.uint8)
|
||||
|
||||
# width = int(height*frame.shape[1]/frame.shape[0])
|
||||
# frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_LINEAR)
|
||||
|
||||
# ret, jpg = cv2.imencode('.jpg', frame)
|
||||
# yield (b'--frame\r\n'
|
||||
# b'Content-Type: image/jpeg\r\n\r\n' + jpg.tobytes() + b'\r\n\r\n')
|
||||
|
||||
# app.run(host='0.0.0.0', port=WEB_PORT, debug=False)
|
||||
12
frigate/models.py
Normal file
12
frigate/models.py
Normal file
@ -0,0 +1,12 @@
|
||||
from peewee import *
|
||||
from playhouse.sqlite_ext import *
|
||||
|
||||
class Event(Model):
|
||||
id = CharField(null=False, primary_key=True, max_length=30)
|
||||
label = CharField(index=True, max_length=20)
|
||||
camera = CharField(index=True, max_length=20)
|
||||
start_time = DateTimeField()
|
||||
end_time = DateTimeField()
|
||||
top_score = FloatField()
|
||||
false_positive = BooleanField()
|
||||
zones = JSONField()
|
||||
24
frigate/mqtt.py
Normal file
24
frigate/mqtt.py
Normal file
@ -0,0 +1,24 @@
|
||||
import paho.mqtt.client as mqtt
|
||||
|
||||
def create_mqtt_client(host: str, port: int, client_id: str, topic_prefix: str, user: str, password: str):
|
||||
client = mqtt.Client(client_id=client_id)
|
||||
def on_connect(client, userdata, flags, rc):
|
||||
# TODO: use logging library
|
||||
print("On connect called")
|
||||
if rc != 0:
|
||||
if rc == 3:
|
||||
print ("MQTT Server unavailable")
|
||||
elif rc == 4:
|
||||
print ("MQTT Bad username or password")
|
||||
elif rc == 5:
|
||||
print ("MQTT Not authorized")
|
||||
else:
|
||||
print ("Unable to connect to MQTT: Connection refused. Error code: " + str(rc))
|
||||
client.publish(topic_prefix+'/available', 'online', retain=True)
|
||||
client.on_connect = on_connect
|
||||
client.will_set(topic_prefix+'/available', payload='offline', qos=1, retain=True)
|
||||
if not user is None:
|
||||
client.username_pw_set(user, password=password)
|
||||
client.connect(host, port, 60)
|
||||
client.loop_start()
|
||||
return client
|
||||
Loading…
Reference in New Issue
Block a user