Welcome to mata Discussions!

[bimantoromaesa]

👋 Welcome to the MATA Community!

MATA is a task-centric, model-agnostic computer vision framework — and you are what makes it great. Whether you're running zero-shot detection with Grounding DINO, tracking objects across video streams, or evaluating OCR pipelines, this is your space to connect, learn, and build together.

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🚀 What can you do here?

💬	What	Why
❓	Ask questions	Stuck on mata.track(), adapter configs, or YAML setup? Someone has the answer.
💡	Share ideas	Have a feature in mind — a new task adapter, tracker, or VLM tool? Let's hear it!
🛠️	Show your work	Built something cool with MATA? Share your project, a snippet, or a benchmark result.
🐛	Discuss edge cases	Found a quirked behavior? Let's figure it out together before it becomes an issue.
🤝	Help others	Answered a question before? Pay it forward.

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🧑‍💻 Want to Contribute?

MATA is actively growing — v1.9.0 just shipped with OCR evaluation, vendored ByteTrack/BotSort, and a full VLM tool-calling agent system. There's always something to work on:

• 🔌 New task adapters — ONNX, TorchScript, HuggingFace
• 📊 Evaluation metrics — Help expand beyond detect/segment/classify/depth/OCR
• 🧪 Tests — We target 80%+ coverage and love well-structured test suites
• 📝 Docs & examples — Real-world usage examples are incredibly valuable

To get started:

pip install -e ".[dev]"
pytest tests/ -v   # All 4307+ tests should pass

Check out the contribution guide and feel free to open a Discussion before opening a PR — especially for larger features.

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🙋 Introduce Yourself!

Drop a comment below and tell us:

1. 👤 Who are you? (You don't have to share your name — a handle is fine!)
2. 🔍 What are you using MATA for, or what brought you here?
3. 🌱 What would you love to see in a future version?

We read every reply. Welcome aboard — this community is built by all of us. 💪