mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-12-19 19:06:16 +01:00
update birdseye layout calculations
This commit is contained in:
Blake Blackshear
parent
4eed27e178
commit
c70419bd0b
@ -4,17 +4,17 @@ services:
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container_name: frigate-dev
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user: vscode
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privileged: true
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shm_size: "256mb"
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build:
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context: .
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dockerfile: docker/Dockerfile.dev
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devices:
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- /dev/bus/usb:/dev/bus/usb
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- /dev/dri:/dev/dri # for intel hwaccel, needs to be updated for your hardware
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volumes:
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- /etc/localtime:/etc/localtime:ro
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- .:/lab/frigate:cached
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- ./config/config.yml:/config/config.yml:ro
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- ./debug:/media/frigate
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- /dev/bus/usb:/dev/bus/usb
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- /dev/dri:/dev/dri # for intel hwaccel, needs to be updated for your hardware
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ports:
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- "1935:1935"
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- "5000:5000"
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@ -1,3 +1,4 @@
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import cv2
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import datetime
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import math
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import multiprocessing as mp
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@ -18,7 +19,7 @@ from ws4py.server.wsgirefserver import (
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from ws4py.server.wsgiutils import WebSocketWSGIApplication
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from ws4py.websocket import WebSocket
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from frigate.util import SharedMemoryFrameManager
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from frigate.util import SharedMemoryFrameManager, get_yuv_crop, copy_yuv_to_position
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class FFMpegConverter:
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@ -39,7 +40,10 @@ class FFMpegConverter:
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self.process.stdin.write(b)
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def read(self, length):
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return self.process.stdout.read1(length)
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try:
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return self.process.stdout.read1(length)
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except ValueError:
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return False
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def exit(self):
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self.process.terminate()
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@ -69,7 +73,9 @@ class BroadcastThread(threading.Thread):
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class BirdsEyeFrameManager:
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def __init__(self, height, width):
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def __init__(self, config, frame_manager: SharedMemoryFrameManager, height, width):
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self.config = config
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self.frame_manager = frame_manager
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self.frame_shape = (height, width)
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self.yuv_shape = (height * 3 // 2, width)
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self.frame = np.ndarray(self.yuv_shape, dtype=np.uint8)
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@ -81,69 +87,169 @@ class BirdsEyeFrameManager:
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self.frame[:] = self.blank_frame
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self.last_active_frames = {}
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self.cameras = {}
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for camera, settings in self.config.cameras.items():
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# precalculate the coordinates for all the channels
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y, u1, u2, v1, v2 = get_yuv_crop(
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settings.frame_shape_yuv,
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(
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0,
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0,
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settings.frame_shape[1],
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settings.frame_shape[0],
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),
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)
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self.cameras[camera] = {
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"last_active_frame": 0.0,
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"layout_frame": 0.0,
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"channel_dims": {
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"y": y,
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"u1": u1,
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"u2": u2,
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"v1": v1,
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"v2": v2,
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},
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}
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self.camera_layout = []
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self.active_cameras = set()
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self.layout_dim = 0
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self.last_output_time = 0.0
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def clear_frame(self):
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self.frame[:] = self.blank_frame
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def update(self, camera, object_count, motion_count, frame_time, frame) -> bool:
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def copy_to_position(self, position, camera=None, frame_time=None):
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if camera is None:
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frame = None
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channel_dims = None
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else:
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frame = self.frame_manager.get(
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f"{camera}{frame_time}", self.config.cameras[camera].frame_shape_yuv
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)
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channel_dims = self.cameras[camera]["channel_dims"]
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# maintain time of most recent active frame for each camera
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if object_count > 0:
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self.last_active_frames[camera] = frame_time
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# TODO: avoid the remaining work if exceeding 5 fps and return False
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copy_yuv_to_position(position, self.frame, self.layout_dim, frame, channel_dims)
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def update_frame(self):
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# determine how many cameras are tracking objects within the last 30 seconds
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now = datetime.datetime.now().timestamp()
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active_cameras = [
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cam
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for cam, frame_time in self.last_active_frames.items()
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if now - frame_time < 30
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]
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active_cameras = set(
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[
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cam
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for cam, cam_data in self.cameras.items()
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if now - cam_data["last_active_frame"] < 30
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]
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)
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if len(active_cameras) == 0 and len(self.camera_layout) == 0:
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return False
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# if there are no active cameras
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if len(active_cameras) == 0:
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# if the layout is already cleared
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if len(self.camera_layout) == 0:
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return False
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# if the layout needs to be cleared
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else:
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self.camera_layout = []
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self.clear_frame()
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return True
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# if the sqrt of the layout and the active cameras don't round to the same value,
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# we need to resize the layout
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if round(math.sqrt(len(active_cameras))) != round(
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math.sqrt(len(self.camera_layout))
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):
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# decide on a layout for the birdseye view (try to avoid too much churn)
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self.columns = math.ceil(math.sqrt(len(active_cameras)))
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self.rows = round(math.sqrt(len(active_cameras)))
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# calculate layout dimensions
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layout_dim = math.ceil(math.sqrt(len(active_cameras)))
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# reset the layout if it needs to be different
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if layout_dim != self.layout_dim:
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self.layout_dim = layout_dim
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self.camera_layout = [None] * layout_dim * layout_dim
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# calculate resolution of each position in the layout
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self.layout_frame_shape = (
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self.frame_shape[0] // layout_dim, # height
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self.frame_shape[1] // layout_dim, # width
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)
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self.camera_layout = [None] * (self.columns * self.rows)
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self.clear_frame()
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# remove inactive cameras from the layout
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self.camera_layout = [
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cam if cam in active_cameras else None for cam in self.camera_layout
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]
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# place the active cameras in the layout
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while len(active_cameras) > 0:
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cam = active_cameras.pop()
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if cam in self.camera_layout:
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continue
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# place camera in the first available spot in the layout
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for i in range(0, len(self.camera_layout) - 1):
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if self.camera_layout[i] is None:
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self.camera_layout[i] = cam
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break
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for cam_data in self.cameras.values():
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cam_data["layout_frame"] = 0.0
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# calculate resolution of each position in the layout
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width = self.frame_shape[1] / self.columns
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height = self.frame_shape[0] / self.rows
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self.active_cameras = set()
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# For each camera in the layout:
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# - resize the current frame and copy into the birdseye view
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removed_cameras = self.active_cameras.difference(active_cameras)
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added_cameras = active_cameras.difference(self.active_cameras)
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self.frame[:] = frame
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self.active_cameras = active_cameras
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# update each position in the layout
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for position, camera in enumerate(self.camera_layout, start=0):
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# if this camera was removed, replace it or clear it
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if camera in removed_cameras:
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# if replacing this camera with a newly added one
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if len(added_cameras) > 0:
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added_camera = added_cameras.pop()
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self.camera_layout[position] = added_camera
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self.copy_to_position(
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position,
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added_camera,
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self.cameras[added_camera]["last_active_frame"],
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)
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self.cameras[added_camera]["layout_frame"] = self.cameras[
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added_camera
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]["last_active_frame"]
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# if removing this camera with no replacement
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else:
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self.camera_layout[position] = None
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self.copy_to_position(position)
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removed_cameras.remove(camera)
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# if an empty spot and there are cameras to add
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elif camera is None and len(added_cameras) > 0:
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added_camera = added_cameras.pop()
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self.camera_layout[position] = added_camera
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self.copy_to_position(
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position,
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added_camera,
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self.cameras[added_camera]["last_active_frame"],
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)
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self.cameras[added_camera]["layout_frame"] = self.cameras[added_camera][
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"last_active_frame"
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]
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# if not an empty spot and the camera has a newer frame, copy it
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elif (
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not camera is None
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and self.cameras[camera]["last_active_frame"]
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!= self.cameras[camera]["layout_frame"]
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):
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self.copy_to_position(
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position, camera, self.cameras[camera]["last_active_frame"]
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)
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self.cameras[camera]["layout_frame"] = self.cameras[camera][
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"last_active_frame"
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]
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return True
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def update(self, camera, object_count, motion_count, frame_time, frame) -> bool:
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# update the last active frame for the camera
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if object_count > 0:
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last_active_frame = self.cameras[camera]["last_active_frame"]
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# cleanup the old frame
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if last_active_frame != 0.0:
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frame_id = f"{camera}{last_active_frame}"
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self.frame_manager.delete(frame_id)
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self.cameras[camera]["last_active_frame"] = frame_time
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now = datetime.datetime.now().timestamp()
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# limit output to ~24 fps
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if (now - self.last_output_time) < 0.04:
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return False
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self.last_output_time = now
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return self.update_frame()
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def output_frames(config, video_output_queue):
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threading.current_thread().name = f"output"
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@ -183,7 +289,7 @@ def output_frames(config, video_output_queue):
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camera, converters[camera], websocket_server
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)
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converters["birdseye"] = FFMpegConverter(1920, 1080, 640, 320, "1000k")
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converters["birdseye"] = FFMpegConverter(1920, 1080, 1280, 720, "2000k")
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broadcasters["birdseye"] = BroadcastThread(
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"birdseye", converters["birdseye"], websocket_server
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)
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@ -193,7 +299,7 @@ def output_frames(config, video_output_queue):
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for t in broadcasters.values():
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t.start()
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birdseye_manager = BirdsEyeFrameManager(1080, 1920)
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birdseye_manager = BirdsEyeFrameManager(config, frame_manager, 1080, 1920)
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while not stop_event.is_set():
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try:
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@ -233,9 +339,14 @@ def output_frames(config, video_output_queue):
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converters["birdseye"].write(birdseye_manager.frame.tobytes())
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if camera in previous_frames:
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frame_manager.delete(previous_frames[camera])
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# if the birdseye manager still needs this frame, don't delete it
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if (
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birdseye_manager.cameras[camera]["last_active_frame"]
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!= previous_frames[camera]
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):
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frame_manager.delete(f"{camera}{previous_frames[camera]}")
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previous_frames[camera] = frame_id
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previous_frames[camera] = frame_time
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while not video_output_queue.empty():
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(
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@ -259,4 +370,5 @@ def output_frames(config, video_output_queue):
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websocket_server.manager.join()
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websocket_server.shutdown()
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websocket_thread.join()
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# TODO: use actual logger
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print("exiting output process...")
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27
frigate/test/test_copy_yuv_to_position.py
Normal file
27
frigate/test/test_copy_yuv_to_position.py
Normal file
@ -0,0 +1,27 @@
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import cv2
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import numpy as np
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from unittest import TestCase, main
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from frigate.util import copy_yuv_to_position
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class TestCopyYuvToPosition(TestCase):
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def setUp(self):
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self.source_frame_bgr = np.zeros((400, 800, 3), np.uint8)
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self.source_frame_bgr[:] = (0, 0, 255)
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self.source_yuv_frame = cv2.cvtColor(
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self.source_frame_bgr, cv2.COLOR_BGR2YUV_I420
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)
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self.dest_frame_bgr = np.zeros((400, 800, 3), np.uint8)
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self.dest_frame_bgr[:] = (112, 202, 50)
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self.dest_frame_bgr[100:300, 200:600] = (255, 0, 0)
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self.dest_yuv_frame = cv2.cvtColor(self.dest_frame_bgr, cv2.COLOR_BGR2YUV_I420)
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def test_copy_yuv_to_position(self):
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copy_yuv_to_position(1, self.dest_yuv_frame, 3)
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# cv2.imwrite(f"source_frame_yuv.jpg", self.source_yuv_frame)
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# cv2.imwrite(f"dest_frame_yuv.jpg", self.dest_yuv_frame)
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if __name__ == "__main__":
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main(verbosity=2)
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@ -3,6 +3,7 @@ import datetime
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import hashlib
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import json
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import logging
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import math
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import signal
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import subprocess as sp
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import threading
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@ -233,6 +234,98 @@ def yuv_crop_and_resize(frame, region, height=None):
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return yuv_cropped_frame
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def copy_yuv_to_position(
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position,
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destination_frame,
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destination_dim,
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source_frame=None,
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source_channel_dim=None,
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):
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# TODO: consider calculating this on layout reflow instead of all the time
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layout_shape = (
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(destination_frame.shape[0] // 3 * 2) // destination_dim,
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destination_frame.shape[1] // destination_dim,
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)
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# calculate the x and y offset for the frame in the layout
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y_offset = layout_shape[0] * math.floor(position / destination_dim)
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x_offset = layout_shape[1] * (position % destination_dim)
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# get the coordinates of the channels for this position in the layout
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y, u1, u2, v1, v2 = get_yuv_crop(
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destination_frame.shape,
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(
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x_offset,
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y_offset,
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x_offset + layout_shape[1],
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y_offset + layout_shape[0],
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),
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)
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if source_frame is None:
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# clear y
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destination_frame[
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y[1] : y[3],
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y[0] : y[2],
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] = 16
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# clear u1
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destination_frame[u1[1] : u1[3], u1[0] : u1[2]] = 128
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# clear u2
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destination_frame[u2[1] : u2[3], u2[0] : u2[2]] = 128
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# clear v1
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destination_frame[v1[1] : v1[3], v1[0] : v1[2]] = 128
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# clear v2
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destination_frame[v2[1] : v2[3], v2[0] : v2[2]] = 128
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else:
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interpolation = cv2.INTER_AREA
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# resize/copy y channel
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destination_frame[y[1] : y[3], y[0] : y[2]] = cv2.resize(
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source_frame[
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source_channel_dim["y"][1] : source_channel_dim["y"][3],
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source_channel_dim["y"][0] : source_channel_dim["y"][2],
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],
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dsize=(y[2] - y[0], y[3] - y[1]),
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interpolation=interpolation,
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)
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# resize/copy u1
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destination_frame[u1[1] : u1[3], u1[0] : u1[2]] = cv2.resize(
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source_frame[
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source_channel_dim["u1"][1] : source_channel_dim["u1"][3],
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source_channel_dim["u1"][0] : source_channel_dim["u1"][2],
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],
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dsize=(u1[2] - u1[0], u1[3] - u1[1]),
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interpolation=interpolation,
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)
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# resize/copy u2
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destination_frame[u2[1] : u2[3], u2[0] : u2[2]] = cv2.resize(
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source_frame[
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source_channel_dim["u2"][1] : source_channel_dim["u2"][3],
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source_channel_dim["u2"][0] : source_channel_dim["u2"][2],
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],
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dsize=(u2[2] - u2[0], u2[3] - u2[1]),
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interpolation=interpolation,
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)
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# resize/copy v1
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destination_frame[v1[1] : v1[3], v1[0] : v1[2]] = cv2.resize(
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source_frame[
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source_channel_dim["v1"][1] : source_channel_dim["v1"][3],
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source_channel_dim["v1"][0] : source_channel_dim["v1"][2],
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],
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dsize=(v1[2] - v1[0], v1[3] - v1[1]),
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interpolation=interpolation,
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)
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# resize/copy v2
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destination_frame[v2[1] : v2[3], v2[0] : v2[2]] = cv2.resize(
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source_frame[
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source_channel_dim["v2"][1] : source_channel_dim["v2"][3],
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source_channel_dim["v2"][0] : source_channel_dim["v2"][2],
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],
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dsize=(v2[2] - v2[0], v2[3] - v2[1]),
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interpolation=interpolation,
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)
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def yuv_region_2_rgb(frame, region):
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try:
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# TODO: does this copy the numpy array?
|
||||
|
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Block a user