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linux-cameraLinux 相机

Agent Skill

linux-camera 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

13,878

周安装

556

GitHub Stars

公开资料未说明

下载量

4,492
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:linux-camera(Linux 相机)
来源仓库:https://github.com/johnnynunez/linux-camera
安装命令:
openclaw skills install linux-camera
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install linux-camera

简介

在 Linux 上拍摄照片、录制视频剪辑、列出摄像机和进行直播。使用 V4L2 和 ffmpeg。支持 USB 网络摄像头和 RTSP/IP 摄像头。

SKILL.md

name
linux-camera
version
1.0.0
author
johnnynunez
description
Capture photos, record video clips, list cameras, and live stream on Linux. Uses V4L2 and ffmpeg. Supports USB webcams and RTSP/IP cameras.
triggers
tools

Linux Camera Skill

Camera capture skill for Linux systems. Supports USB webcams (V4L2) and network cameras (RTSP).

Skill directory: ~/.openclaw/workspace/skills/linux-camera/

Dependencies

sudo apt-get install -y ffmpeg v4l-utils

Scripts

0. Quick photo (camera_photo.py) — simplest way to take a photo

No flags needed. Just run it.

uv run python scripts/camera_photo.py              # auto-detect camera, timestamped filename
uv run python scripts/camera_photo.py front         # use /dev/video0
uv run python scripts/camera_photo.py back          # use /dev/video2
uv run python scripts/camera_photo.py front pic.jpg # custom filename → /tmp/pic.jpg
uv run python scripts/camera_photo.py /dev/video4   # explicit device path

Camera aliases: front = /dev/video0, back = /dev/video2. Output goes to /tmp/ by default.

1. List available cameras (camera_list.py)

Detects all V4L2 video devices and prints their names, paths, and supported formats.

uv run python scripts/camera_list.py
ParameterDescriptionDefault
--jsonOutput as JSONoff

2. Take a snapshot (camera_snap.py) — primary, recommended

Captures a single frame from a camera and saves it as a JPEG.

uv run python scripts/camera_snap.py --output /tmp/snapshot.jpg
ParameterDescriptionDefault
--deviceV4L2 device path/dev/video0
--rtspRTSP URL (use instead of --device for IP cameras)
--outputOutput file path/tmp/camera_snap.jpg
--widthCapture width1280
--heightCapture height720
--warmupWarmup frames to skip (for exposure adjustment)5
--qualityJPEG quality (1–100)90

3. Record a video clip (camera_clip.py)

Records a video clip from a camera.

uv run python scripts/camera_clip.py --duration 5 --output /tmp/clip.mp4
ParameterDescriptionDefault
--deviceV4L2 device path/dev/video0
--rtspRTSP URL (use instead of --device for IP cameras)
--outputOutput file path/tmp/camera_clip.mp4
--durationRecording duration in seconds5
--widthCapture width1280
--heightCapture height720
--fpsFrames per second30

4. Live streaming (camera_stream.py)

Multi-format live streaming server. Supports MJPEG (low-latency), HLS (adaptive, mobile-friendly), and RTSP re-streaming.

uv run python scripts/camera_stream.py --port 8090

Open http://<device-ip>:8090 in a browser to view the MJPEG stream.

ParameterDescriptionDefault
--deviceV4L2 device path/dev/video0
--rtspRTSP input URL (use instead of --device for IP cameras)
--portHTTP server port8090
--widthCapture width640
--heightCapture height480
--fpsTarget frames per second15
--enable-hlsEnable HLS output (adaptive bitrate, mobile-friendly)off
--enable-rtspEnable RTSP re-stream outputoff
--rtsp-portRTSP server port (when --enable-rtsp is used)8554

Endpoints:

URLDescription
http://<ip>:8090/MJPEG stream (works in <img> tags and browsers)
http://<ip>:8090/snapSingle JPEG snapshot
http://<ip>:8090/hlsHLS live page (requires --enable-hls)
http://<ip>:8090/hls/stream.m3u8HLS playlist for VLC or mobile players
rtsp://<ip>:8554/liveRTSP stream (requires --enable-rtsp)
http://<ip>:8090/statusJSON status (frame age, size, active outputs)

Examples

# List cameras
uv run python scripts/camera_list.py

# Snapshot from default webcam
uv run python scripts/camera_snap.py

# Snapshot from a specific camera
uv run python scripts/camera_snap.py --device /dev/video2 --output /tmp/photo.jpg

# Snapshot from an IP camera
uv run python scripts/camera_snap.py --rtsp rtsp://user:pass@192.168.1.100:554/stream1

# Record 10 seconds of video
uv run python scripts/camera_clip.py --duration 10

# MJPEG stream (low-latency, view in browser)
uv run python scripts/camera_stream.py --port 8090

# MJPEG + HLS stream (adaptive bitrate for mobile / remote)
uv run python scripts/camera_stream.py --port 8090 --enable-hls

# Full streaming: MJPEG + HLS + RTSP re-stream
uv run python scripts/camera_stream.py --port 8090 --enable-hls --enable-rtsp

# Stream from an IP camera as input
uv run python scripts/camera_stream.py --rtsp rtsp://user:pass@192.168.1.100:554/stream1 --enable-hls

# High-res stream at 30fps
uv run python scripts/camera_stream.py --width 1280 --height 720 --fps 30

Multiple cameras

If you have multiple cameras (e.g. /dev/video0 and /dev/video2), specify the device:

# List all cameras
uv run python scripts/camera_list.py

# Snap from camera 0
uv run python scripts/camera_snap.py --device /dev/video0 --output /tmp/cam0.jpg

# Snap from camera 2
uv run python scripts/camera_snap.py --device /dev/video2 --output /tmp/cam2.jpg

# Stream camera 0 on port 8090, camera 2 on port 8091
uv run python scripts/camera_stream.py --device /dev/video0 --port 8090
uv run python scripts/camera_stream.py --device /dev/video2 --port 8091

Coordinate with robot arm

Combine with the soarm-control skill to look at something and take a photo:

# Move arm to look at the desktop
uv run python ~/.openclaw/workspace/skills/soarm-control/scripts/soarm_set_joints.py \
    --shoulder-pan 1.626 --shoulder-lift -42.110 --elbow-flex 32.088 \
    --wrist-flex 78.242 --wrist-roll -95.077

# Capture what the camera sees
uv run python scripts/camera_snap.py --output /tmp/desktop.jpg

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

93.22%
按下载量换算4,187

安全审计

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通过

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权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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