mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-10-15 20:07:23 +02:00
146 lines
4.5 KiB
Python
146 lines
4.5 KiB
Python
import logging
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import multiprocessing as mp
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import subprocess as sp
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import threading
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import gevent
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import numpy as np
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from flask import (
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Blueprint,
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Flask,
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Response,
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current_app,
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jsonify,
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make_response,
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request,
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)
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from flask_sockets import Sockets
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from gevent import pywsgi
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from geventwebsocket.handler import WebSocketHandler
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from frigate.util import SharedMemoryFrameManager
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logger = logging.getLogger(__name__)
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# methods for maintaining the birdseyeframe in the object processing thread
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# avoids work when no clients are listening
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class BirdsEyeFrameManager:
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def __init__(self):
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# self.config = config
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self.frame_manager = SharedMemoryFrameManager()
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self._frame_shape = (1080, 1920)
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self.frame_shape_yuv = (self._frame_shape[0] * 3 // 2, self._frame_shape[1])
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self.frame_shm = mp.shared_memory.SharedMemory(
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name=f"birdseye-frame",
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create=True,
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size=self.frame_shape_yuv[0] * self.frame_shape_yuv[1],
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)
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self.frame = np.ndarray(
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self.frame_shape_yuv, dtype=np.uint8, buffer=self.frame_shm.buf
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)
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# initialize the frame as black and with the frigate logo
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self.blank_frame = np.zeros((1080 * 3 // 2, 1920), np.uint8)
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self.blank_frame[:] = 128
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self.blank_frame[0:1080, 0:1920] = 16
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self.frame[:] = self.blank_frame
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def update_frame(self, camera, object_count, motion_count, frame_time, frame):
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# determine how many cameras are tracking objects (or recently were)
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# decide on a layout for the birdseye view (try to avoid too much churn)
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# calculate position of each camera
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# calculate resolution of each position in the layout
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# if layout is changing, wipe the frame black again
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# For each camera currently tracking objects (alphabetical):
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# - resize the current frame and copy into the birdseye view
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# signal to birdseye process that the frame is ready to send
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self.frame[:] = frame
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# separate process for managing the external ffmpeg process and sending frame
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# bytes to ffmpeg
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class BirdsEyeFrameOutputter(threading.Thread):
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def __init__(self, stop_event):
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threading.Thread.__init__(self)
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self.stop_event = stop_event
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self.frame_shm = mp.shared_memory.SharedMemory(
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name=f"birdseye-frame",
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create=False,
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)
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def start_ffmpeg(self):
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ffmpeg_cmd = "ffmpeg -f rawvideo -pix_fmt yuv420p -video_size 1920x1080 -i pipe: -f mpegts -codec:v mpeg1video -b:v 1000k -bf 0 pipe:".split(
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" "
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)
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self.process = sp.Popen(
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ffmpeg_cmd,
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stdout=sp.PIPE,
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# TODO: logging
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stderr=sp.DEVNULL,
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stdin=sp.PIPE,
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start_new_session=True,
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)
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def run(self):
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self.start_ffmpeg()
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while not self.stop_event.wait(1):
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if self.process.poll() != None:
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logger.info(f"ffmpeg process is not running. restarting ...")
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self.start_ffmpeg()
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self.process.stdin.write(self.frame_shm.buf.tobytes())
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# separate process for passing jsmpeg packets over websockets
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# signals to the frame manager when a client is listening
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def run_jsmpeg_server():
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app = Flask(__name__)
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sockets = Sockets(app)
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http = Blueprint("http", __name__)
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ws = Blueprint("ws", __name__)
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# TODO: add something for notification of subscribers
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# self.app.frigate_config = frigate_config
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app.register_blueprint(http)
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sockets.register_blueprint(ws)
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clients = list()
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@http.route("/birdseye")
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def receive_mpegts():
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chunk_size = 4096
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while True:
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chunk = request.stream.read(chunk_size)
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if len(chunk) == 0:
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break
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for client in clients:
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try:
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client.send(chunk)
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except:
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logger.debug(
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"Removing websocket client due to a closed connection."
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)
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clients.remove(client)
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@ws.route("/birdseye")
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def echo_socket(socket):
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# TODO: get reference to
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# current_app.mqtt_backend.register(socket)
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clients.append(socket)
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while not socket.closed:
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# Sleep to prevent *constant* context-switches.
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gevent.sleep(0.1)
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server = pywsgi.WSGIServer(("127.0.0.1", 5050), app, handler_class=WebSocketHandler)
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try:
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server.serve_forever()
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except KeyboardInterrupt:
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pass
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