frigate/detect_objects.py
2019-05-14 08:34:14 -04:00

102 lines
3.5 KiB
Python

import cv2
import time
import queue
import yaml
import numpy as np
from flask import Flask, Response, make_response
import paho.mqtt.client as mqtt
from frigate.video import Camera
from frigate.object_detection import PreppedQueueProcessor
with open('/config/config.yml') as f:
CONFIG = yaml.safe_load(f)
MQTT_HOST = CONFIG['mqtt']['host']
MQTT_PORT = CONFIG.get('mqtt', {}).get('port', 1883)
MQTT_TOPIC_PREFIX = CONFIG.get('mqtt', {}).get('topic_prefix', 'frigate')
MQTT_USER = CONFIG.get('mqtt', {}).get('user')
MQTT_PASS = CONFIG.get('mqtt', {}).get('password')
WEB_PORT = CONFIG.get('web_port', 5000)
DEBUG = (CONFIG.get('debug', '0') == '1')
def main():
# connect to mqtt and setup last will
def on_connect(client, userdata, flags, rc):
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))
elif rc == 0:
print ("Connection to MQTT established.")
# publish a message to signal that the service is running
client.publish(MQTT_TOPIC_PREFIX+'/available', 'online', retain=True)
client = mqtt.Client()
client.on_connect = on_connect
client.will_set(MQTT_TOPIC_PREFIX+'/available', payload='offline', qos=1, retain=True)
if not MQTT_USER is None:
client.username_pw_set(MQTT_USER, password=MQTT_PASS)
client.connect(MQTT_HOST, MQTT_PORT, 60)
client.loop_start()
# Queue for prepped frames, max size set to (number of cameras * 5)
max_queue_size = len(CONFIG['cameras'].items())*5
prepped_frame_queue = queue.Queue(max_queue_size)
cameras = {}
for name, config in CONFIG['cameras'].items():
cameras[name] = Camera(name, config, prepped_frame_queue, client, MQTT_TOPIC_PREFIX)
prepped_queue_processor = PreppedQueueProcessor(
cameras,
prepped_frame_queue
)
prepped_queue_processor.start()
for name, camera in cameras.items():
camera.start()
print("Capture process for {}: {}".format(name, camera.get_capture_pid()))
# create a flask app that encodes frames a mjpeg on demand
app = Flask(__name__)
@app.route('/<camera_name>/best_person.jpg')
def best_person(camera_name):
best_person_frame = cameras[camera_name].get_best_person()
if best_person_frame is None:
best_person_frame = np.zeros((720,1280,3), np.uint8)
ret, jpg = cv2.imencode('.jpg', best_person_frame)
response = make_response(jpg.tobytes())
response.headers['Content-Type'] = 'image/jpg'
return response
@app.route('/<camera_name>')
def mjpeg_feed(camera_name):
# return a multipart response
return Response(imagestream(camera_name),
mimetype='multipart/x-mixed-replace; boundary=frame')
def imagestream(camera_name):
while True:
# max out at 5 FPS
time.sleep(0.2)
frame = cameras[camera_name].get_current_frame_with_objects()
# encode the image into a jpg
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)
camera.join()
if __name__ == '__main__':
main()