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Video And Tracking

Organization
VectorSpaceLab
video-and-tracking

Run 3DDFA_V2 video, smoothing, and manual webcam tracking workflows.

Overview

PublisherVectorSpaceLab
RepositoryAREX-Skill
Skill namevideo-and-tracking
Stars
341
Forks
26
Bundled files
4
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by VectorSpaceLab on GitHub. Read the source before you install it.

Installation

Install the Video And Tracking AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/3ddfa-v2/sub-skills/video-and-tracking
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git /tmp/AREX-Skill
mkdir -p .claude/skills
cp -r /tmp/AREX-Skill/skills/repositories/repo-skills/3ddfa-v2/sub-skills/video-and-tracking .claude/skills/video-and-tracking
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video And Tracking in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Video And Tracking on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Video And Tracking is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Video and tracking

Use this sub-skill for 3DDFA_V2 video-file processing and smoothing. Webcam support exists in the source repo but remains a manual, hardware-dependent workflow.

When to read

Read this sub-skill when the task asks to:

  • Run demo_video.py or demo_video_smooth.py on an AVI/MP4 file.
  • Produce tracked 2d_sparse, 2d_dense, or 3d video outputs.
  • Tune n_pre, n_next, start, or end frame-window settings.
  • Diagnose imageio, ffmpeg, tracking drift, or webcam/display issues.

Before running

  1. Build and smoke-test the checkout with ../setup-and-assets/.
  2. Confirm imageio and imageio-ffmpeg are installed.
  3. Start with the sample clip if the user's input format is uncertain.

Basic video wrapper

The basic wrapper preserves the original demo_video.py CLI. Put original arguments after --:

bash
python <skill-root>/sub-skills/video-and-tracking/scripts/run-video.py \
  --repo-root <checkout> -- \
  -f <video-path> -o 3d --onnx

Smoothed video wrapper

The smoothed wrapper preserves the original demo_video_smooth.py CLI:

bash
python <skill-root>/sub-skills/video-and-tracking/scripts/run-video-smooth.py \
  --repo-root <checkout> -- \
  -f <video-path> -o 2d_sparse -n_pre 1 -n_next 1 --onnx

Tracking behavior

  • The first frame uses detection; later frames track from the previous landmark state.
  • If the ROI area becomes too small, the demo re-runs face detection.
  • Motion that is too fast or head pose beyond roughly 90 degrees can make the lightweight tracker fail.
  • Smoothing uses a simple average over n_pre + n_next + 1 frames and drops or pads boundary frames.

Webcam boundary

The repo has a webcam script that uses imageio.get_reader("<video0>") and cv2.imshow. This skill documents the workflow in references/workflows.md, but does not provide an automated webcam wrapper because it needs live camera hardware, GUI display access, and manual quit handling.

Troubleshooting

Read references/troubleshooting.md for video-specific failure recovery and ../../references/troubleshooting.md for shared build/import failures.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Video And Tracking AI skill do?

Run 3DDFA_V2 video, smoothing, and manual webcam tracking workflows.

Why use Video And Tracking on TypingMind?

Because you install it once and use it with any model. Video And Tracking is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Video And Tracking in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/3ddfa-v2/sub-skills/video-and-tracking. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Video And Tracking?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Video And Tracking?

As many as you like. As long as a model supports skills, you can use Video And Tracking with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Video And Tracking AI skill free?

Yes. It is published on GitHub by VectorSpaceLab under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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