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README.md
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---
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license: mit
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---
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---
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license: mit
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---
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+
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# axera frigate
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## 简介
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此Docker镜像用于在axera平台一键部署Frigate
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### 已支持芯片
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- AX650N
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- AX8850N
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### 已支持 SDK 版本
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- v3.6.2及以上的ubuntu版本（ubuntu_rootfs && ubuntu_rootfs_desktop）
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### 已支持开发板
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- AX650N DEMO Board
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- Axera-Pi Pro
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## 快速上手
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### 安装
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#### 导入docker镜像
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```bash
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docker load -i frigate-ax650-4dc1feb.tar
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```
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#### 准备config和media目录
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```bash
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root@ax650:~/frigate-runtime# tree -L 1
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.
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|-- config
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|-- docker-compose.yml
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`-- storage
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2 directories, 1 file
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```
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> 请确认docker-compose.yml内配置的docker镜像和实际导入的一致
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> 请确认docker-compose.yml内config目录和storage目录的映射位置和实际一致
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#### 启动容器
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```bash
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docker compose up -d
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```
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### 访问
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通过 **https://server_ip:8971** 访问Frigate
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### 配置示例
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```yaml
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mqtt:
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enabled: false
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go2rtc:
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streams:
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#主码流
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road1:
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- rtsp://10.126.12.104:8554/road1.264
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#子码流
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road1_sub:
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- rtsp://10.126.12.104:8554/road1_sub.264
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cameras:
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road1:
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enabled: true
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ffmpeg:
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inputs:
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#录制使用go2rtc中设置的主码流
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- path: rtsp://127.0.0.1:8554/road1
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roles:
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- record
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#检测使用go2rtc中设置的辅码流
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- path: rtsp://127.0.0.1:8554/road1_sub
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roles:
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- detect
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#使用axera对h264进行硬解码
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#如果是h265码流，这里配置成preset-axera-h265
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hwaccel_args: preset-axera-h264
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record:
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enabled: true
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#打开检测功能
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detect:
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enabled: true
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width: 1280
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height: 720
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fps: 5
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#配置检测引擎使用axengine
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detectors:
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axengine:
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type: axengine
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#配置axengine的目标检测模型
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model:
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path: yolov5s_320
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width: 320
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height: 320
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input_pixel_format: bgr
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labelmap_path: /labelmap/coco-80.txt
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+
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#要跟踪的目标类型
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+
objects:
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track:
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+
- person
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- car
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- bicycle
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- motorcycle
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+
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version: 0.16-0
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```
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### 官方文档
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- [英文文档](https://docs.frigate.video/)
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- [中文文档](https://docs.frigate-cn.video/frigate/)
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