blakeblackshear.frigate/frigate/output.py

803 lines
26 KiB
Python
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import datetime
import glob
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import logging
import math
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import multiprocessing as mp
import os
import queue
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import signal
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import subprocess as sp
import threading
import traceback
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from wsgiref.simple_server import make_server
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import cv2
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import numpy as np
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from setproctitle import setproctitle
from ws4py.server.wsgirefserver import (
WebSocketWSGIHandler,
WebSocketWSGIRequestHandler,
WSGIServer,
)
from ws4py.server.wsgiutils import WebSocketWSGIApplication
from ws4py.websocket import WebSocket
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from frigate.config import BirdseyeModeEnum, FrigateConfig
from frigate.const import BASE_DIR, BIRDSEYE_PIPE
from frigate.types import CameraMetricsTypes
from frigate.util.image import (
SharedMemoryFrameManager,
copy_yuv_to_position,
get_yuv_crop,
)
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logger = logging.getLogger(__name__)
def get_standard_aspect_ratio(width: int, height: int) -> tuple[int, int]:
"""Ensure that only standard aspect ratios are used."""
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# it is imoprtant that all ratios have the same scale
known_aspects = [
(16, 9),
(9, 16),
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(20, 10),
(16, 6), # reolink duo 2
(32, 9), # panoramic cameras
(12, 9),
(9, 12),
] # aspects are scaled to have common relative size
known_aspects_ratios = list(
map(lambda aspect: aspect[0] / aspect[1], known_aspects)
)
closest = min(
known_aspects_ratios,
key=lambda x: abs(x - (width / height)),
)
return known_aspects[known_aspects_ratios.index(closest)]
def get_canvas_shape(width: int, height: int) -> tuple[int, int]:
"""Get birdseye canvas shape."""
canvas_width = width
canvas_height = height
a_w, a_h = get_standard_aspect_ratio(width, height)
if round(a_w / a_h, 2) != round(width / height, 2):
canvas_width = int(width // 4 * 4)
canvas_height = int((canvas_width / a_w * a_h) // 4 * 4)
logger.warning(
f"The birdseye resolution is a non-standard aspect ratio, forcing birdseye resolution to {canvas_width} x {canvas_height}"
)
return (canvas_width, canvas_height)
class Canvas:
def __init__(self, canvas_width: int, canvas_height: int) -> None:
gcd = math.gcd(canvas_width, canvas_height)
self.aspect = get_standard_aspect_ratio(
(canvas_width / gcd), (canvas_height / gcd)
)
self.width = canvas_width
self.height = (self.width * self.aspect[1]) / self.aspect[0]
self.coefficient_cache: dict[int, int] = {}
self.aspect_cache: dict[str, tuple[int, int]] = {}
def get_aspect(self, coefficient: int) -> tuple[int, int]:
return (self.aspect[0] * coefficient, self.aspect[1] * coefficient)
def get_coefficient(self, camera_count: int) -> int:
return self.coefficient_cache.get(camera_count, 2)
def set_coefficient(self, camera_count: int, coefficient: int) -> None:
self.coefficient_cache[camera_count] = coefficient
def get_camera_aspect(
self, cam_name: str, camera_width: int, camera_height: int
) -> tuple[int, int]:
cached = self.aspect_cache.get(cam_name)
if cached:
return cached
gcd = math.gcd(camera_width, camera_height)
camera_aspect = get_standard_aspect_ratio(
camera_width / gcd, camera_height / gcd
)
self.aspect_cache[cam_name] = camera_aspect
return camera_aspect
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class FFMpegConverter:
def __init__(
self,
in_width: int,
in_height: int,
out_width: int,
out_height: int,
quality: int,
birdseye_rtsp: bool = False,
):
self.bd_pipe = None
if birdseye_rtsp:
self.recreate_birdseye_pipe()
ffmpeg_cmd = [
"ffmpeg",
"-f",
"rawvideo",
"-pix_fmt",
"yuv420p",
"-video_size",
f"{in_width}x{in_height}",
"-i",
"pipe:",
"-f",
"mpegts",
"-s",
f"{out_width}x{out_height}",
"-codec:v",
"mpeg1video",
"-q",
f"{quality}",
"-bf",
"0",
"pipe:",
]
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self.process = sp.Popen(
ffmpeg_cmd,
stdout=sp.PIPE,
stderr=sp.DEVNULL,
stdin=sp.PIPE,
start_new_session=True,
)
def recreate_birdseye_pipe(self) -> None:
if self.bd_pipe:
os.close(self.bd_pipe)
if os.path.exists(BIRDSEYE_PIPE):
os.remove(BIRDSEYE_PIPE)
os.mkfifo(BIRDSEYE_PIPE, mode=0o777)
stdin = os.open(BIRDSEYE_PIPE, os.O_RDONLY | os.O_NONBLOCK)
self.bd_pipe = os.open(BIRDSEYE_PIPE, os.O_WRONLY)
os.close(stdin)
self.reading_birdseye = False
def write(self, b) -> None:
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self.process.stdin.write(b)
if self.bd_pipe:
try:
os.write(self.bd_pipe, b)
self.reading_birdseye = True
except BrokenPipeError:
if self.reading_birdseye:
# we know the pipe was being read from and now it is not
# so we should recreate the pipe to ensure no partially-read
# frames exist
logger.debug(
"Recreating the birdseye pipe because it was read from and now is not"
)
self.recreate_birdseye_pipe()
return
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def read(self, length):
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try:
return self.process.stdout.read1(length)
except ValueError:
return False
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def exit(self):
if self.bd_pipe:
os.close(self.bd_pipe)
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self.process.terminate()
try:
self.process.communicate(timeout=30)
except sp.TimeoutExpired:
self.process.kill()
self.process.communicate()
class BroadcastThread(threading.Thread):
def __init__(self, camera, converter, websocket_server, stop_event):
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super(BroadcastThread, self).__init__()
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self.camera = camera
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self.converter = converter
self.websocket_server = websocket_server
self.stop_event = stop_event
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def run(self):
while not self.stop_event.is_set():
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buf = self.converter.read(65536)
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if buf:
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manager = self.websocket_server.manager
with manager.lock:
websockets = manager.websockets.copy()
ws_iter = iter(websockets.values())
for ws in ws_iter:
if (
not ws.terminated
and ws.environ["PATH_INFO"] == f"/{self.camera}"
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):
try:
ws.send(buf, binary=True)
except ValueError:
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pass
except (BrokenPipeError, ConnectionResetError) as e:
logger.debug(f"Websocket unexpectedly closed {e}")
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elif self.converter.process.poll() is not None:
break
class BirdsEyeFrameManager:
def __init__(
self,
config: FrigateConfig,
frame_manager: SharedMemoryFrameManager,
stop_event: mp.Event,
camera_metrics: dict[str, CameraMetricsTypes],
):
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self.config = config
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self.mode = config.birdseye.mode
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self.frame_manager = frame_manager
width, height = get_canvas_shape(config.birdseye.width, config.birdseye.height)
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self.frame_shape = (height, width)
self.yuv_shape = (height * 3 // 2, width)
self.frame = np.ndarray(self.yuv_shape, dtype=np.uint8)
self.canvas = Canvas(width, height)
self.stop_event = stop_event
self.camera_metrics = camera_metrics
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# initialize the frame as black and with the Frigate logo
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self.blank_frame = np.zeros(self.yuv_shape, np.uint8)
self.blank_frame[:] = 128
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self.blank_frame[0 : self.frame_shape[0], 0 : self.frame_shape[1]] = 16
# find and copy the logo on the blank frame
birdseye_logo = None
custom_logo_files = glob.glob(f"{BASE_DIR}/custom.png")
if len(custom_logo_files) > 0:
birdseye_logo = cv2.imread(custom_logo_files[0], cv2.IMREAD_UNCHANGED)
if birdseye_logo is None:
logo_files = glob.glob("/opt/frigate/frigate/images/birdseye.png")
if len(logo_files) > 0:
birdseye_logo = cv2.imread(logo_files[0], cv2.IMREAD_UNCHANGED)
if birdseye_logo is not None:
transparent_layer = birdseye_logo[:, :, 3]
y_offset = height // 2 - transparent_layer.shape[0] // 2
x_offset = width // 2 - transparent_layer.shape[1] // 2
self.blank_frame[
y_offset : y_offset + transparent_layer.shape[1],
x_offset : x_offset + transparent_layer.shape[0],
] = transparent_layer
else:
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logger.warning("Unable to read Frigate logo")
self.frame[:] = self.blank_frame
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self.cameras = {}
for camera, settings in self.config.cameras.items():
# precalculate the coordinates for all the channels
y, u1, u2, v1, v2 = get_yuv_crop(
settings.frame_shape_yuv,
(
0,
0,
settings.frame_shape[1],
settings.frame_shape[0],
),
)
self.cameras[camera] = {
"dimensions": [settings.detect.width, settings.detect.height],
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"last_active_frame": 0.0,
"current_frame": 0.0,
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"layout_frame": 0.0,
"channel_dims": {
"y": y,
"u1": u1,
"u2": u2,
"v1": v1,
"v2": v2,
},
}
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self.camera_layout = []
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self.active_cameras = set()
self.last_output_time = 0.0
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def clear_frame(self):
logger.debug("Clearing the birdseye frame")
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self.frame[:] = self.blank_frame
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def copy_to_position(self, position, camera=None, frame_time=None):
if camera is None:
frame = None
channel_dims = None
else:
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try:
frame = self.frame_manager.get(
f"{camera}{frame_time}", self.config.cameras[camera].frame_shape_yuv
)
except FileNotFoundError:
# TODO: better frame management would prevent this edge case
logger.warning(
f"Unable to copy frame {camera}{frame_time} to birdseye."
)
return
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channel_dims = self.cameras[camera]["channel_dims"]
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copy_yuv_to_position(
self.frame,
[position[1], position[0]],
[position[3], position[2]],
frame,
channel_dims,
)
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def camera_active(self, mode, object_box_count, motion_box_count):
if mode == BirdseyeModeEnum.continuous:
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return True
if mode == BirdseyeModeEnum.motion and motion_box_count > 0:
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return True
if mode == BirdseyeModeEnum.objects and object_box_count > 0:
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return True
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def update_frame(self):
"""Update to a new frame for birdseye."""
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# determine how many cameras are tracking objects within the last 30 seconds
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active_cameras = set(
[
cam
for cam, cam_data in self.cameras.items()
if cam_data["last_active_frame"] > 0
and cam_data["current_frame"] - cam_data["last_active_frame"] < 30
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]
)
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# if there are no active cameras
if len(active_cameras) == 0:
# if the layout is already cleared
if len(self.camera_layout) == 0:
return False
# if the layout needs to be cleared
else:
self.camera_layout = []
self.active_cameras = set()
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self.clear_frame()
return True
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# check if we need to reset the layout because there is a different number of cameras
reset_layout = len(self.active_cameras) - len(active_cameras) != 0
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# reset the layout if it needs to be different
if reset_layout:
logger.debug("Added new cameras, resetting layout...")
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self.clear_frame()
self.active_cameras = active_cameras
# this also converts added_cameras from a set to a list since we need
# to pop elements in order
active_cameras_to_add = sorted(
active_cameras,
# sort cameras by order and by name if the order is the same
key=lambda active_camera: (
self.config.cameras[active_camera].birdseye.order,
active_camera,
),
)
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if len(active_cameras) == 1:
# show single camera as fullscreen
camera = active_cameras_to_add[0]
camera_dims = self.cameras[camera]["dimensions"].copy()
scaled_width = int(self.canvas.height * camera_dims[0] / camera_dims[1])
coefficient = (
1
if scaled_width <= self.canvas.width
else self.canvas.width / scaled_width
)
self.camera_layout = [
[
(
camera,
(
0,
0,
int(scaled_width * coefficient),
int(self.canvas.height * coefficient),
),
)
]
]
else:
# calculate optimal layout
coefficient = self.canvas.get_coefficient(len(active_cameras))
calculating = True
# decrease scaling coefficient until height of all cameras can fit into the birdseye canvas
while calculating:
if self.stop_event.is_set():
return
layout_candidate = self.calculate_layout(
active_cameras_to_add,
coefficient,
)
if not layout_candidate:
if coefficient < 10:
coefficient += 1
continue
else:
logger.error("Error finding appropriate birdseye layout")
return
calculating = False
self.canvas.set_coefficient(len(active_cameras), coefficient)
self.camera_layout = layout_candidate
for row in self.camera_layout:
for position in row:
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self.copy_to_position(
position[1], position[0], self.cameras[position[0]]["current_frame"]
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)
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return True
def calculate_layout(self, cameras_to_add: list[str], coefficient) -> tuple[any]:
"""Calculate the optimal layout for 2+ cameras."""
def map_layout(camera_layout: list[list[any]], row_height: int):
"""Map the calculated layout."""
candidate_layout = []
starting_x = 0
x = 0
max_width = 0
y = 0
for row in camera_layout:
final_row = []
max_width = max(max_width, x)
x = starting_x
for cameras in row:
camera_dims = self.cameras[cameras[0]]["dimensions"].copy()
camera_aspect = cameras[1]
if camera_dims[1] > camera_dims[0]:
scaled_height = int(row_height * 2)
scaled_width = int(scaled_height * camera_aspect)
starting_x = scaled_width
else:
scaled_height = row_height
scaled_width = int(scaled_height * camera_aspect)
# layout is too large
if (
x + scaled_width > self.canvas.width
or y + scaled_height > self.canvas.height
):
return x + scaled_width, y + scaled_height, None
final_row.append((cameras[0], (x, y, scaled_width, scaled_height)))
x += scaled_width
y += row_height
candidate_layout.append(final_row)
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if max_width == 0:
max_width = x
return max_width, y, candidate_layout
canvas_aspect_x, canvas_aspect_y = self.canvas.get_aspect(coefficient)
camera_layout: list[list[any]] = []
camera_layout.append([])
starting_x = 0
x = starting_x
y = 0
y_i = 0
max_y = 0
for camera in cameras_to_add:
camera_dims = self.cameras[camera]["dimensions"].copy()
camera_aspect_x, camera_aspect_y = self.canvas.get_camera_aspect(
camera, camera_dims[0], camera_dims[1]
)
if camera_dims[1] > camera_dims[0]:
portrait = True
else:
portrait = False
if (x + camera_aspect_x) <= canvas_aspect_x:
# insert if camera can fit on current row
camera_layout[y_i].append(
(
camera,
camera_aspect_x / camera_aspect_y,
)
)
if portrait:
starting_x = camera_aspect_x
else:
max_y = max(
max_y,
camera_aspect_y,
)
x += camera_aspect_x
else:
# move on to the next row and insert
y += max_y
y_i += 1
camera_layout.append([])
x = starting_x
if x + camera_aspect_x > canvas_aspect_x:
return None
camera_layout[y_i].append(
(
camera,
camera_aspect_x / camera_aspect_y,
)
)
x += camera_aspect_x
if y + max_y > canvas_aspect_y:
return None
row_height = int(self.canvas.height / coefficient)
total_width, total_height, standard_candidate_layout = map_layout(
camera_layout, row_height
)
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if not standard_candidate_layout:
# if standard layout didn't work
# try reducing row_height by the % overflow
scale_down_percent = max(
total_width / self.canvas.width,
total_height / self.canvas.height,
)
row_height = int(row_height / scale_down_percent)
total_width, total_height, standard_candidate_layout = map_layout(
camera_layout, row_height
)
if not standard_candidate_layout:
return None
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# layout can't be optimized more
if total_width / self.canvas.width >= 0.99:
return standard_candidate_layout
scale_up_percent = min(
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1 / (total_width / self.canvas.width),
1 / (total_height / self.canvas.height),
)
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row_height = int(row_height * scale_up_percent)
_, _, scaled_layout = map_layout(camera_layout, row_height)
if scaled_layout:
return scaled_layout
else:
return standard_candidate_layout
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def update(self, camera, object_count, motion_count, frame_time, frame) -> bool:
# don't process if birdseye is disabled for this camera
camera_config = self.config.cameras[camera].birdseye
if not camera_config.enabled:
return False
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# get our metrics (sync'd across processes)
# which allows us to control it via mqtt (or any other dispatcher)
camera_metrics = self.camera_metrics[camera]
# disabling birdseye is a little tricky
if not camera_metrics["birdseye_enabled"].value:
# if we've rendered a frame (we have a value for last_active_frame)
# then we need to set it to zero
if self.cameras[camera]["last_active_frame"] > 0:
self.cameras[camera]["last_active_frame"] = 0
return False
# get the birdseye mode state from camera metrics
birdseye_mode = BirdseyeModeEnum.get(camera_metrics["birdseye_mode"].value)
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# update the last active frame for the camera
self.cameras[camera]["current_frame"] = frame_time
if self.camera_active(birdseye_mode, object_count, motion_count):
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self.cameras[camera]["last_active_frame"] = frame_time
now = datetime.datetime.now().timestamp()
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# limit output to 10 fps
if (now - self.last_output_time) < 1 / 10:
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return False
try:
updated_frame = self.update_frame()
except Exception:
updated_frame = False
self.active_cameras = []
self.camera_layout = []
print(traceback.format_exc())
# if the frame was updated or the fps is too low, send frame
if updated_frame or (now - self.last_output_time) > 1:
self.last_output_time = now
return True
return False
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def output_frames(
config: FrigateConfig,
video_output_queue,
camera_metrics: dict[str, CameraMetricsTypes],
):
threading.current_thread().name = "output"
setproctitle("frigate.output")
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stop_event = mp.Event()
def receiveSignal(signalNumber, frame):
stop_event.set()
signal.signal(signal.SIGTERM, receiveSignal)
signal.signal(signal.SIGINT, receiveSignal)
frame_manager = SharedMemoryFrameManager()
previous_frames = {}
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# start a websocket server on 8082
WebSocketWSGIHandler.http_version = "1.1"
websocket_server = make_server(
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"127.0.0.1",
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8082,
server_class=WSGIServer,
handler_class=WebSocketWSGIRequestHandler,
app=WebSocketWSGIApplication(handler_cls=WebSocket),
)
websocket_server.initialize_websockets_manager()
websocket_thread = threading.Thread(target=websocket_server.serve_forever)
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converters = {}
broadcasters = {}
for camera, cam_config in config.cameras.items():
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width = int(
cam_config.live.height
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* (cam_config.frame_shape[1] / cam_config.frame_shape[0])
)
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converters[camera] = FFMpegConverter(
cam_config.frame_shape[1],
cam_config.frame_shape[0],
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width,
cam_config.live.height,
cam_config.live.quality,
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)
broadcasters[camera] = BroadcastThread(
camera, converters[camera], websocket_server, stop_event
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)
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if config.birdseye.enabled:
converters["birdseye"] = FFMpegConverter(
config.birdseye.width,
config.birdseye.height,
config.birdseye.width,
config.birdseye.height,
config.birdseye.quality,
config.birdseye.restream,
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)
broadcasters["birdseye"] = BroadcastThread(
"birdseye",
converters["birdseye"],
websocket_server,
stop_event,
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)
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websocket_thread.start()
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for t in broadcasters.values():
t.start()
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birdseye_manager = BirdsEyeFrameManager(
config, frame_manager, stop_event, camera_metrics
)
if config.birdseye.restream:
birdseye_buffer = frame_manager.create(
"birdseye",
birdseye_manager.yuv_shape[0] * birdseye_manager.yuv_shape[1],
)
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while not stop_event.is_set():
try:
(
camera,
frame_time,
current_tracked_objects,
motion_boxes,
regions,
) = video_output_queue.get(True, 1)
except queue.Empty:
continue
frame_id = f"{camera}{frame_time}"
frame = frame_manager.get(frame_id, config.cameras[camera].frame_shape_yuv)
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# send camera frame to ffmpeg process if websockets are connected
if any(
ws.environ["PATH_INFO"].endswith(camera) for ws in websocket_server.manager
):
# write to the converter for the camera if clients are listening to the specific camera
converters[camera].write(frame.tobytes())
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if config.birdseye.enabled and (
config.birdseye.restream
or any(
ws.environ["PATH_INFO"].endswith("birdseye")
for ws in websocket_server.manager
)
):
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if birdseye_manager.update(
camera,
len([o for o in current_tracked_objects if not o["stationary"]]),
len(motion_boxes),
frame_time,
frame,
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):
frame_bytes = birdseye_manager.frame.tobytes()
if config.birdseye.restream:
birdseye_buffer[:] = frame_bytes
converters["birdseye"].write(frame_bytes)
if camera in previous_frames:
frame_manager.delete(f"{camera}{previous_frames[camera]}")
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previous_frames[camera] = frame_time
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while not video_output_queue.empty():
(
camera,
frame_time,
current_tracked_objects,
motion_boxes,
regions,
) = video_output_queue.get(True, 10)
frame_id = f"{camera}{frame_time}"
frame = frame_manager.get(frame_id, config.cameras[camera].frame_shape_yuv)
frame_manager.delete(frame_id)
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for c in converters.values():
c.exit()
for b in broadcasters.values():
b.join()
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websocket_server.manager.close_all()
websocket_server.manager.stop()
websocket_server.manager.join()
websocket_server.shutdown()
websocket_thread.join()
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logger.info("exiting output process...")