mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
410 lines
14 KiB
Python
410 lines
14 KiB
Python
"""Handle outputting low res / fps preview segments from decoded frames."""
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import datetime
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import logging
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import os
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import shutil
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import subprocess as sp
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import threading
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import time
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from pathlib import Path
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import cv2
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import numpy as np
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from frigate.comms.config_updater import ConfigSubscriber
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from frigate.comms.inter_process import InterProcessRequestor
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from frigate.config import CameraConfig, RecordQualityEnum
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from frigate.const import CACHE_DIR, CLIPS_DIR, INSERT_PREVIEW, PREVIEW_FRAME_TYPE
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from frigate.ffmpeg_presets import (
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FPS_VFR_PARAM,
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EncodeTypeEnum,
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parse_preset_hardware_acceleration_encode,
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)
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from frigate.models import Previews
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from frigate.object_processing import TrackedObject
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from frigate.util.image import copy_yuv_to_position, get_yuv_crop
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logger = logging.getLogger(__name__)
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FOLDER_PREVIEW_FRAMES = "preview_frames"
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PREVIEW_CACHE_DIR = os.path.join(CACHE_DIR, FOLDER_PREVIEW_FRAMES)
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PREVIEW_SEGMENT_DURATION = 3600 # one hour
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# important to have lower keyframe to maintain scrubbing performance
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PREVIEW_KEYFRAME_INTERVAL = 40
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PREVIEW_HEIGHT = 180
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PREVIEW_QUALITY_WEBP = {
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RecordQualityEnum.very_low: 70,
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RecordQualityEnum.low: 80,
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RecordQualityEnum.medium: 80,
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RecordQualityEnum.high: 80,
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RecordQualityEnum.very_high: 86,
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}
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PREVIEW_QUALITY_BIT_RATES = {
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RecordQualityEnum.very_low: 7168,
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RecordQualityEnum.low: 8196,
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RecordQualityEnum.medium: 9216,
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RecordQualityEnum.high: 9864,
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RecordQualityEnum.very_high: 10096,
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}
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def get_cache_image_name(camera: str, frame_time: float) -> str:
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"""Get the image name in cache."""
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return os.path.join(
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CACHE_DIR,
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f"{FOLDER_PREVIEW_FRAMES}/preview_{camera}-{frame_time}.{PREVIEW_FRAME_TYPE}",
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)
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class FFMpegConverter(threading.Thread):
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"""Convert a list of still frames into a vfr mp4."""
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def __init__(
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self,
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config: CameraConfig,
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frame_times: list[float],
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requestor: InterProcessRequestor,
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):
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super().__init__(name=f"{config.name}_preview_converter")
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self.config = config
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self.frame_times = frame_times
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self.requestor = requestor
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self.path = os.path.join(
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CLIPS_DIR,
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f"previews/{self.config.name}/{self.frame_times[0]}-{self.frame_times[-1]}.mp4",
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)
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# write a PREVIEW at fps and 1 key frame per clip
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self.ffmpeg_cmd = parse_preset_hardware_acceleration_encode(
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config.ffmpeg.ffmpeg_path,
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config.ffmpeg.hwaccel_args,
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input="-f concat -y -protocol_whitelist pipe,file -safe 0 -threads 1 -i /dev/stdin",
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output=f"-threads 1 -g {PREVIEW_KEYFRAME_INTERVAL} -bf 0 -b:v {PREVIEW_QUALITY_BIT_RATES[self.config.record.preview.quality]} {FPS_VFR_PARAM} -movflags +faststart -pix_fmt yuv420p {self.path}",
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type=EncodeTypeEnum.preview,
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)
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def run(self) -> None:
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# generate input list
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item_count = len(self.frame_times)
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playlist = []
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for t_idx in range(0, item_count):
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if t_idx == item_count - 1:
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# last frame does not get a duration
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playlist.append(
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f"file '{get_cache_image_name(self.config.name, self.frame_times[t_idx])}'"
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)
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continue
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playlist.append(
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f"file '{get_cache_image_name(self.config.name, self.frame_times[t_idx])}'"
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)
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playlist.append(
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f"duration {self.frame_times[t_idx + 1] - self.frame_times[t_idx]}"
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)
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try:
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p = sp.run(
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self.ffmpeg_cmd.split(" "),
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input="\n".join(playlist),
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encoding="ascii",
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capture_output=True,
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)
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except BlockingIOError:
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logger.warning(
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f"Failed to create preview for {self.config.name}, retrying..."
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)
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time.sleep(2)
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p = sp.run(
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self.ffmpeg_cmd.split(" "),
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input="\n".join(playlist),
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encoding="ascii",
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capture_output=True,
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)
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start = self.frame_times[0]
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end = self.frame_times[-1]
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if p.returncode == 0:
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logger.debug("successfully saved preview")
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self.requestor.send_data(
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INSERT_PREVIEW,
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{
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Previews.id.name: f"{self.config.name}_{end}",
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Previews.camera.name: self.config.name,
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Previews.path.name: self.path,
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Previews.start_time.name: start,
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Previews.end_time.name: end,
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Previews.duration.name: end - start,
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},
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)
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else:
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logger.error(f"Error saving preview for {self.config.name} :: {p.stderr}")
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# unlink files from cache
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# don't delete last frame as it will be used as first frame in next segment
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for t in self.frame_times[0:-1]:
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Path(get_cache_image_name(self.config.name, t)).unlink(missing_ok=True)
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class PreviewRecorder:
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def __init__(self, config: CameraConfig) -> None:
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self.config = config
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self.start_time = 0
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self.last_output_time = 0
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self.output_frames = []
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if config.detect.width > config.detect.height:
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self.out_height = PREVIEW_HEIGHT
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self.out_width = (
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int((config.detect.width / config.detect.height) * self.out_height)
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// 4
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* 4
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)
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else:
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self.out_width = PREVIEW_HEIGHT
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self.out_height = (
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int((config.detect.height / config.detect.width) * self.out_width)
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// 4
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* 4
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)
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# create communication for finished previews
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self.requestor = InterProcessRequestor()
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self.config_subscriber = ConfigSubscriber(f"config/record/{self.config.name}")
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y, u1, u2, v1, v2 = get_yuv_crop(
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self.config.frame_shape_yuv,
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(
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0,
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0,
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self.config.frame_shape[1],
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self.config.frame_shape[0],
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),
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)
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self.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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# end segment at end of hour
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self.segment_end = (
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(datetime.datetime.now() + datetime.timedelta(hours=1))
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.astimezone(datetime.timezone.utc)
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.replace(minute=0, second=0, microsecond=0)
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.timestamp()
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)
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Path(PREVIEW_CACHE_DIR).mkdir(exist_ok=True)
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Path(os.path.join(CLIPS_DIR, f"previews/{config.name}")).mkdir(
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parents=True, exist_ok=True
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)
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# check for existing items in cache
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start_ts = (
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datetime.datetime.now()
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.astimezone(datetime.timezone.utc)
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.replace(minute=0, second=0, microsecond=0)
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.timestamp()
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)
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file_start = f"preview_{config.name}"
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start_file = f"{file_start}-{start_ts}.webp"
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for file in sorted(os.listdir(os.path.join(CACHE_DIR, FOLDER_PREVIEW_FRAMES))):
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if not file.startswith(file_start):
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continue
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if file < start_file:
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os.unlink(os.path.join(PREVIEW_CACHE_DIR, file))
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continue
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try:
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file_time = file.split("-")[-1][: -(len(PREVIEW_FRAME_TYPE) + 1)]
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if not file_time:
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continue
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ts = float(file_time)
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except ValueError:
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continue
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if self.start_time == 0:
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self.start_time = ts
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self.last_output_time = ts
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self.output_frames.append(ts)
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def should_write_frame(
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self,
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current_tracked_objects: list[dict[str, any]],
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motion_boxes: list[list[int]],
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frame_time: float,
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) -> bool:
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"""Decide if this frame should be added to PREVIEW."""
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if not self.config.record.enabled:
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return False
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active_objs = get_active_objects(
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frame_time, self.config, current_tracked_objects
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)
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preview_output_fps = 2 if any(o["label"] == "car" for o in active_objs) else 1
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# limit output to 1 fps
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if (frame_time - self.last_output_time) < 1 / preview_output_fps:
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return False
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# send frame if a non-stationary object is in a zone
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if len(active_objs) > 0:
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self.last_output_time = frame_time
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return True
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if len(motion_boxes) > 0:
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self.last_output_time = frame_time
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return True
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# ensure that at least 2 frames are written every minute
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if frame_time - self.last_output_time > 30:
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self.last_output_time = frame_time
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return True
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return False
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def write_frame_to_cache(self, frame_time: float, frame: np.ndarray) -> None:
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# resize yuv frame
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small_frame = np.zeros((self.out_height * 3 // 2, self.out_width), np.uint8)
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copy_yuv_to_position(
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small_frame,
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(0, 0),
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(self.out_height, self.out_width),
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frame,
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self.channel_dims,
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cv2.INTER_AREA,
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)
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small_frame = cv2.cvtColor(
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small_frame,
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cv2.COLOR_YUV2BGR_I420,
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)
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cv2.imwrite(
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get_cache_image_name(self.config.name, frame_time),
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small_frame,
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[
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int(cv2.IMWRITE_WEBP_QUALITY),
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PREVIEW_QUALITY_WEBP[self.config.record.preview.quality],
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],
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)
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def write_data(
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self,
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current_tracked_objects: list[dict[str, any]],
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motion_boxes: list[list[int]],
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frame_time: float,
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frame: np.ndarray,
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) -> bool:
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# check for updated record config
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_, updated_record_config = self.config_subscriber.check_for_update()
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if updated_record_config:
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self.config.record = updated_record_config
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# always write the first frame
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if self.start_time == 0:
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self.start_time = frame_time
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self.output_frames.append(frame_time)
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self.write_frame_to_cache(frame_time, frame)
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return False
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# check if PREVIEW clip should be generated and cached frames reset
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if frame_time >= self.segment_end:
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if len(self.output_frames) > 0:
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# save last frame to ensure consistent duration
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if self.config.record:
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self.output_frames.append(frame_time)
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self.write_frame_to_cache(frame_time, frame)
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# write the preview if any frames exist for this hour
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FFMpegConverter(
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self.config,
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self.output_frames,
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self.requestor,
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).start()
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else:
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logger.debug(
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f"Not saving preview for {self.config.name} because there are no saved frames."
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)
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# reset frame cache
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self.segment_end = (
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(datetime.datetime.now() + datetime.timedelta(hours=1))
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.astimezone(datetime.timezone.utc)
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.replace(minute=0, second=0, microsecond=0)
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.timestamp()
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)
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self.start_time = frame_time
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self.last_output_time = frame_time
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self.output_frames: list[float] = []
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# include first frame to ensure consistent duration
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if self.config.record.enabled:
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self.output_frames.append(frame_time)
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self.write_frame_to_cache(frame_time, frame)
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return True
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elif self.should_write_frame(current_tracked_objects, motion_boxes, frame_time):
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self.output_frames.append(frame_time)
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self.write_frame_to_cache(frame_time, frame)
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return False
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def flag_offline(self, frame_time: float) -> None:
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# check if PREVIEW clip should be generated and cached frames reset
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if frame_time >= self.segment_end:
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if len(self.output_frames) == 0:
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return
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old_frame_path = get_cache_image_name(
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self.config.name, self.output_frames[-1]
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)
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new_frame_path = get_cache_image_name(self.config.name, frame_time)
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shutil.copy(old_frame_path, new_frame_path)
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# save last frame to ensure consistent duration
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self.output_frames.append(frame_time)
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FFMpegConverter(
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self.config,
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self.output_frames,
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self.requestor,
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).start()
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# reset frame cache
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self.segment_end = (
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(datetime.datetime.now() + datetime.timedelta(hours=1))
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.astimezone(datetime.timezone.utc)
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.replace(minute=0, second=0, microsecond=0)
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.timestamp()
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)
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self.start_time = frame_time
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self.last_output_time = frame_time
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self.output_frames = []
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def stop(self) -> None:
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self.requestor.stop()
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def get_active_objects(
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frame_time: float, camera_config: CameraConfig, all_objects: list[TrackedObject]
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) -> list[TrackedObject]:
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"""get active objects for detection."""
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return [
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o
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for o in all_objects
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if o["motionless_count"] < camera_config.detect.stationary.threshold
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and o["position_changes"] > 0
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and o["frame_time"] == frame_time
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and not o["false_positive"]
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]
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