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6
frigate-rknn-old/CHANGELOG.md
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frigate-rknn-old/CHANGELOG.md
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## rknn1.6-13.2-3 （2024-05-13）
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- 增加自动获取默认MQTT用户名和密码
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## rknn1.6-13.2-2-preview （2024-05-09）
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- 增加内置默认配置
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## rknn1.6-13.2-preview （2024-04-28）
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- 首次推出
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90
frigate-rknn-old/DOCS.md
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frigate-rknn-old/DOCS.md
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# Frigate-rknpu-old版
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配置参考：[https://docs.frigate.video/configuration/reference](https://docs.frigate.video/configuration/reference)
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## 使用方法:
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- 方法一：直接启动，启动完成之后，点击`打开webui`，点击`config`，进行编辑之后，点击`Save Only`，然后再重启本应用
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- 方法二：使用 Filebrowser 编辑`homeassistant/frigate.yaml`，然后启动本应用
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- 方法三：进入 [ip]:7681 导航到`/mnt/data/supervisor/homeassistant/`，使用命令行工具编辑`frigate.yaml`，然后启动本应用
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`frigate.ayml`默认内容
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```yaml
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mqtt:
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enabled: false # 如果要用请修改成 true
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host: core-mosquitto
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port: 1883
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client_id: gzbdi3
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#topic_prefix: frigate
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user: '' # 改成mqtt登录账号
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password: '' # 改成mqtt登录密码
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ffmpeg:
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input_args: preset-rtsp-restream
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hwaccel_args: preset-rk-h264
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output_args:
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record: preset-record-generic-audio-aac
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cameras:
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video: # 多路视频，请从此复制
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ffmpeg:
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inputs:
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- path: '' # 填写你的rtsp视频流地址，比如：rtsp://username:password@192.168.1.100:554/Streaming/Channels/101
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input_args: preset-rtsp-restream
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roles:
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- detect
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detectors:
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rk-detector:
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type: rknn
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model:
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width: 320
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height: 320
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input_tensor: nhwc
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input_pixel_format: bgr
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detect:
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width: 1280
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height: 720
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fps: 6
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enabled: True
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objects:
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track:
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- person
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filters:
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person:
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min_score: 0.2
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snapshots:
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enabled: true
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bounding_box: true
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clean_copy: true
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retain:
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default: 15
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record:
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enabled: True
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expire_interval: 60
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retain:
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days: 0
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mode: active_objects
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events:
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pre_capture: 2
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post_capture: 3
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objects:
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- person
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required_zones: [ ]
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retain:
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default: 2
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mode: active_objects
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objects:
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person: 15
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logger:
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default: info
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logs:
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frigate.event: debug
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frigate.mqtt: debug
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detect: debug
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```
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32
frigate-rknn-old/README.md
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frigate-rknn-old/README.md
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# 冬瓜甄选addons：Frigate-rknpu-old
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###### **此项目最高版为rknn1.6-13.2-3，到此为止，不会再升级**
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## 关于
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Frigate是一款实时智能物体识别应用，所有处理可以在本地硬件上执行，通过网络摄像头捕捉的画面进行物体识别，可通过HA的事件机制，完成各种超过人存在传感器的功能。
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## 介绍
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1. 通过本地对象检测可以减少误报
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传统的NVR依赖于简单的运动检测，需要通过数小时的微调设置降低误报率。通过Frigate物体检测算法，即使是普通的硬件也可以运行高级分析，以确定运动是否真的是人、车或其他感兴趣的物体。通过Frigate的本地处理，您就不需要使用把本地视频推送到付费的智能视频识别平台了。
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2. 通过设置细微区域响应来触发事件和警报
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Frigate 通过实时跟踪物体，可以实现一个人从开始走上前面的台阶或汽车进入指定车道的准确时间。实现根据精确位置响应来优化通知的消息。
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3. 与 Home Assistant 和其他自动化平台集成
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在任何支持 MQTT 的设备实体的平台（Home Assistant、NodeRed等），实现检测对象实体。 Frigate 的配套Home Assistant集成，提供低延迟摄像头实体、实时传感器和开关，达到实现自动化和通知功能。
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4. 为摄像头提供动态实时视频推送查看功能
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通过Birdseye视图动态渲染让摄像头具有活动检测能力，让您可以轻松查看感兴趣的摄像头。从此告别眯着眼睛看整版由小方格组成的多路视频监控画面的时代。
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5. RK3566系列soc可以在720P辅码流下，实现4路视频识别，从而实现最优成本的智能感知摄像头功能。（模型库大时，推荐1-2路，会让应用更广泛）
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## 重要说明:
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此addon为“冬瓜haos”的rk3566系列AI固件的专用版，能充分发挥rknn的性能，在2024年4月28日前的rk3566系列机型，都为不带GPU加速的，想使用rknn功能，请确认好主机和固件，否则无法使用！！！
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## 支持探测器：
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- cpu
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- rknn
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- openvino
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- 其他官方支持的硬件相关探测器（未测试）
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77
frigate-rknn-old/apparmor.txt
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77
frigate-rknn-old/apparmor.txt
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#include <tunables/global>
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profile frigate-rknpu-old flags=(attach_disconnected,mediate_deleted) {
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#include <abstractions/base>
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capability,
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file,
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signal,
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mount,
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umount,
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remount,
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network udp,
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network tcp,
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network dgram,
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network stream,
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network inet,
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network inet6,
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network netlink raw,
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network unix dgram,
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network,
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signal (send) set=(kill,term,int,hup,cont),
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capability net_admin,
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capability net_bind_service,
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capability dac_read_search,
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capability dac_override,
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capability chown,
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capability setgid,
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capability setuid,
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capability sys_admin,
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capability dac_read_search,
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# capability dac_override,
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# capability sys_rawio,
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# S6-Overlay
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/init ix,
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/run/{s6,s6-rc*,service}/** ix,
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/package/** ix,
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/command/** ix,
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/run/{,**} rwk,
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/dev/tty rw,
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/bin/** ix,
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/usr/bin/** ix,
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/usr/lib/bashio/** ix,
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/etc/s6/** rix,
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/run/s6/** rix,
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/etc/services.d/** rwix,
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/etc/cont-init.d/** rwix,
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/etc/cont-finish.d/** rwix,
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/init rix,
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/var/run/** mrwkl,
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/var/run/ mrwkl,
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/dev/i2c-1 mrwkl,
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# Files required
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/dev/fuse mrwkl,
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/dev/sda1 mrwkl,
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/dev/sdb1 mrwkl,
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/dev/nvme0 mrwkl,
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/dev/nvme1 mrwkl,
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/dev/mmcblk0p1 mrwkl,
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/dev/* mrwkl,
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/tmp/** mrkwl,
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/dev/shm/** rwix,
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# Data access
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/data/** rw,
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# suppress ptrace denials when using 'docker ps' or using 'ps' inside a container
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ptrace (trace,read) peer=docker-default,
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# docker daemon confinement requires explict allow rule for signal
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signal (receive) set=(kill,term) peer=/usr/bin/docker,
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}
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66
frigate-rknn-old/config.yaml
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frigate-rknn-old/config.yaml
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name: frigate-rknpu-old
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version: rknn1.6-13.2-3
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slug: "frigate-rknpu-old"
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codenotary: "wghaos@163.com"
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description: NVR with realtime local object detection for IP cameras
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url: "https://gitcode.com/waxgourd/addons"
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image: r.hassbus.com/wghaos/frigate
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init: false
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startup: application
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boot: manual
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arch:
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- aarch64
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map:
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- "media:rw"
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- "config:rw"
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webui: "http://[HOST]:[PORT:5000]/"
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watchdog: "http://[HOST]:[PORT:5000]/"
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ingress: true
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ingress_port: 5000
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ingress_entry: /
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panel_icon: "mdi:cctv"
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panel_title: Frigate
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panel_admin: false
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homeassistant_api: true
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hassio_api: true
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hassio_role: manager
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ports:
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8555/tcp: 8555
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8555/udp: 8555
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8554/tcp: null
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5000/tcp: null
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1984/tcp: null
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1935/tcp: null
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ports_description:
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8555/tcp: WebRTC over tcp
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8555/udp: WebRTC over udp
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8554/tcp: RTSP Restream
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5000/tcp: Web interface (Not required for Hass.io Ingress)
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1984/tcp: go2rtc API
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1935/tcp: RTMP streams
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host_network: false
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video: true
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tmpfs: true
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host_ipc: true
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apparmor: true
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full_access: true
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privileged:
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- BPF
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- DAC_READ_SEARCH
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- IPC_LOCK
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- NET_ADMIN
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- NET_RAW
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- PERFMON
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- SYS_ADMIN
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- SYS_MODULE
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- SYS_NICE
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- SYS_PTRACE
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- SYS_RAWIO
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- SYS_RESOURCE
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- SYS_TIME
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environment:
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CONFIG_FILE: /config/frigate.yaml
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schema:
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plus_api_key: password?
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services:
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- "mqtt:want"
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BIN
frigate-rknn-old/icon.png
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frigate-rknn-old/icon.png
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frigate-rknn-old/logo.png
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frigate-rknn-old/logo.png
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