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51
README_CN.md
51
README_CN.md
@ -1,28 +1,31 @@
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<p align="center">
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<img align="center" alt="logo" src="docs/static/img/frigate.png">
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<img align="center" alt="logo" src="docs/static/img/branding/frigate.png">
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</p>
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# Frigate - 一个具有实时目标检测的本地NVR
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# Frigate NVR™ - 一个具有实时目标检测的本地 NVR
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[English](https://github.com/blakeblackshear/frigate) | \[简体中文\]
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[](https://opensource.org/licenses/MIT)
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<a href="https://hosted.weblate.org/engage/frigate-nvr/-/zh_Hans/">
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<img src="https://hosted.weblate.org/widget/frigate-nvr/-/zh_Hans/svg-badge.svg" alt="翻译状态" />
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</a>
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一个完整的本地网络视频录像机(NVR),专为[Home Assistant](https://www.home-assistant.io)设计,具备AI物体检测功能。使用OpenCV和TensorFlow在本地为IP摄像头执行实时物体检测。
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一个完整的本地网络视频录像机(NVR),专为[Home Assistant](https://www.home-assistant.io)设计,具备 AI 目标/物体检测功能。使用 OpenCV 和 TensorFlow 在本地为 IP 摄像头执行实时物体检测。
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强烈推荐使用GPU或者AI加速器(例如[Google Coral加速器](https://coral.ai/products/) 或者 [Hailo](https://hailo.ai/))。它们的性能甚至超过目前的顶级CPU,并且可以以极低的耗电实现更优的性能。
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- 通过[自定义组件](https://github.com/blakeblackshear/frigate-hass-integration)与Home Assistant紧密集成
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- 设计上通过仅在必要时和必要地点寻找物体,最大限度地减少资源使用并最大化性能
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强烈推荐使用 GPU 或者 AI 加速器(例如[Google Coral 加速器](https://coral.ai/products/) 或者 [Hailo](https://hailo.ai/)等)。它们的运行效率远远高于现在的顶级 CPU,并且功耗也极低。
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- 通过[自定义组件](https://github.com/blakeblackshear/frigate-hass-integration)与 Home Assistant 紧密集成
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- 设计上通过仅在必要时和必要地点寻找目标,最大限度地减少资源使用并最大化性能
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- 大量利用多进程处理,强调实时性而非处理每一帧
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- 使用非常低开销的运动检测来确定运行物体检测的位置
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- 使用TensorFlow进行物体检测,运行在单独的进程中以达到最大FPS
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- 通过MQTT进行通信,便于集成到其他系统中
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- 使用非常低开销的画面变动检测(也叫运动检测)来确定运行目标检测的位置
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- 使用 TensorFlow 进行目标检测,并运行在单独的进程中以达到最大 FPS
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- 通过 MQTT 进行通信,便于集成到其他系统中
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- 根据检测到的物体设置保留时间进行视频录制
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- 24/7全天候录制
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- 通过RTSP重新流传输以减少摄像头的连接数
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- 支持WebRTC和MSE,实现低延迟的实时观看
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- 24/7 全天候录制
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- 通过 RTSP 重新流传输以减少摄像头的连接数
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- 支持 WebRTC 和 MSE,实现低延迟的实时观看
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## 社区中文翻译文档
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@ -32,39 +35,55 @@
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如果您想通过捐赠支持开发,请使用 [Github Sponsors](https://github.com/sponsors/blakeblackshear)。
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## 协议
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本项目采用 **MIT 许可证**授权。
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**代码部分**:本代码库中的源代码、配置文件和文档均遵循 [MIT 许可证](LICENSE)。您可以自由使用、修改和分发这些代码,但必须保留原始版权声明。
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**商标部分**:“Frigate”名称、“Frigate NVR”品牌以及 Frigate 的 Logo 为 **Frigate LLC 的商标**,**不在** MIT 许可证覆盖范围内。
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有关品牌资产的规范使用详情,请参阅我们的[《商标政策》](TRADEMARK.md)。
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## 截图
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### 实时监控面板
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<div>
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<img width="800" alt="实时监控面板" src="https://github.com/blakeblackshear/frigate/assets/569905/5e713cb9-9db5-41dc-947a-6937c3bc376e">
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</div>
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### 简单的核查工作流程
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<div>
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<img width="800" alt="简单的审查工作流程" src="https://github.com/blakeblackshear/frigate/assets/569905/6fed96e8-3b18-40e5-9ddc-31e6f3c9f2ff">
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</div>
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### 多摄像头可按时间轴查看
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<div>
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<img width="800" alt="多摄像头可按时间轴查看" src="https://github.com/blakeblackshear/frigate/assets/569905/d6788a15-0eeb-4427-a8d4-80b93cae3d74">
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</div>
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### 内置遮罩和区域编辑器
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<div>
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<img width="800" alt="内置遮罩和区域编辑器" src="https://github.com/blakeblackshear/frigate/assets/569905/d7885fc3-bfe6-452f-b7d0-d957cb3e31f5">
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</div>
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## 翻译
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我们使用 [Weblate](https://hosted.weblate.org/projects/frigate-nvr/) 平台提供翻译支持,欢迎参与进来一起完善。
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## 非官方中文讨论社区
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欢迎加入中文讨论QQ群:[1043861059](https://qm.qq.com/q/7vQKsTmSz)
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欢迎加入中文讨论 QQ 群:[1043861059](https://qm.qq.com/q/7vQKsTmSz)
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Bilibili:https://space.bilibili.com/3546894915602564
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## 中文社区赞助商
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[](https://edgeone.ai/zh?from=github)
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本项目 CDN 加速及安全防护由 Tencent EdgeOne 赞助
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---
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**Copyright © 2025 Frigate LLC.**
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@ -4,10 +4,15 @@
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border-bottom: 1px solid #ffd166;
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text-align: center;
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font-size: 15px;
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}
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}
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.alert a {
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[data-theme="dark"] .alert {
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background: #3b2f0b;
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border-bottom: 1px solid #665c22;
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}
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.alert a {
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color: #1890ff;
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font-weight: 500;
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margin-left: 6px;
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}
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}
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@ -22,6 +22,7 @@ from frigate.util.services import (
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get_bandwidth_stats,
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get_cpu_stats,
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get_fs_type,
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get_hailo_temps,
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get_intel_gpu_stats,
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get_jetson_stats,
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get_nvidia_gpu_stats,
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@ -91,6 +92,9 @@ def get_temperatures() -> dict[str, float]:
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if temp is not None:
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temps[apex] = temp
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# Get temperatures for Hailo devices
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temps.update(get_hailo_temps())
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return temps
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@ -18,6 +18,7 @@ import cv2
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import psutil
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import py3nvml.py3nvml as nvml
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import requests
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from hailo_platform import Device
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from frigate.const import (
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DRIVER_AMD,
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return results
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def get_hailo_temps() -> dict[str, float]:
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"""Get temperatures for Hailo devices."""
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temps = {}
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try:
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device_ids = Device.scan()
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for i, device_id in enumerate(device_ids):
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try:
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with Device(device_id) as device:
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temp_info = device.control.get_chip_temperature()
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# Get board name and normalise it
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identity = device.control.identify()
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board_name = None
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for line in str(identity).split("\n"):
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if line.startswith("Board Name:"):
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board_name = (
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line.split(":", 1)[1].strip().lower().replace("-", "")
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)
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break
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if not board_name:
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board_name = f"hailo{i}"
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# Use indexed name if multiple devices, otherwise just the board name
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device_name = (
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f"{board_name}-{i}" if len(device_ids) > 1 else board_name
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)
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# ts1_temperature is also available, but appeared to be the same as ts0 in testing.
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temps[device_name] = round(temp_info.ts0_temperature, 1)
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except Exception as e:
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logger.debug(
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f"Failed to get temperature for Hailo device {device_id}: {e}"
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)
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continue
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except Exception as e:
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logger.debug(f"Failed to scan for Hailo devices: {e}")
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return temps
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def ffprobe_stream(ffmpeg, path: str, detailed: bool = False) -> sp.CompletedProcess:
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"""Run ffprobe on stream."""
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clean_path = escape_special_characters(path)
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@ -144,7 +144,7 @@ export default function GeneralMetrics({
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}
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Object.entries(stats.detectors).forEach(([key], cIdx) => {
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if (!key.includes("coral")) {
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if (!key.includes("coral") && !key.includes("hailo")) {
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return;
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}
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