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147 lines
4.0 KiB
Markdown
147 lines
4.0 KiB
Markdown
# GitHub Copilot Instructions for Supervision
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This file provides context-aware guidance for GitHub Copilot when working in the Supervision repository.
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---
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## 📚 Repository Overview
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**Supervision** is a Python library providing reusable computer vision utilities for working with object detection models (YOLO, SAM, etc.). It offers tools for detections processing, tracking, annotation, and dataset management.
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- **Languages**: Python 3.10+
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- **Key Dependencies**: NumPy, OpenCV, SciPy
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- **License**: MIT
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---
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## 🏗️ Project Structure
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```
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supervision/
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├── src/
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│ └── supervision/ # Main library code
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│ ├── detection/ # Detection utilities
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│ ├── draw/ # Annotation and visualization
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│ ├── tracker/ # Object tracking
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│ ├── dataset/ # Dataset management
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│ └── utils/ # Shared utilities
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├── tests/ # Test suite (mirrors src/supervision/)
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├── docs/ # MkDocs documentation
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└── examples/ # Usage examples
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```
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---
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## 🔧 Development Commands
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**Setup:**
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```bash
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# Install dependencies
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uv sync --group dev --group docs --extra metrics
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# Install pre-commit hooks
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uv run pre-commit install
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```
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**Quality Checks:**
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```bash
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# Run all pre-commit hooks (formatting, linting, type checking)
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uv run pre-commit run --all-files
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# Run tests with coverage
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uv run pytest --cov=supervision
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```
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**Documentation:**
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```bash
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# Serve docs locally at http://127.0.0.1:8000
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uv run mkdocs serve
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```
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---
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## 💻 Code Conventions
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### General Guidelines
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- Follow **[AGENTS.md](../AGENTS.md)** for task-based development workflows
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- Reference **[CONTRIBUTING.md](CONTRIBUTING.md)** for detailed contribution guidelines
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- All code must pass `pre-commit` hooks before committing
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### Code Style
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- **Formatting**: Enforced by `ruff-format`, `prettier` (pre-commit)
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- **Linting**: Enforced by `ruff-check` (pre-commit)
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- **Type Hints**: Required on all new code
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- **Docstrings**: Required using [Google Python style](https://google.github.io/styleguide/pyguide.html#383-functions-and-methods)
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- Must include usage examples with primitive values
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- Serve as runnable documentation
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### Performance
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- Avoid unnecessary NumPy array copies
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- Prefer vectorized operations over Python loops
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- Use OpenCV operations efficiently
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### API Design
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- Follow existing naming patterns for consistency
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- Maintain backward compatibility unless explicitly breaking
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- Prefer functional utilities over complex classes
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---
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## 🧪 Testing Requirements
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All new features must include:
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- Unit tests covering happy path and edge cases
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- Tests for `None`, empty inputs, large arrays, boundary conditions
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- Clear test names describing what they validate
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- Proper assertions (not just "no exception raised")
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---
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## 📝 Documentation Requirements
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For new public functions/classes:
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- Google-style docstrings with parameters, returns, exceptions
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- Usage examples in docstrings
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- Entry in appropriate `docs/*.md` file
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- Reference in `mkdocs.yml` navigation
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---
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## 🔍 Pull Request Reviews
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**When reviewing PRs, follow the comprehensive [PR Review Guidelines](CONTRIBUTING.md#pr-review-guidelines).**
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Quick checklist:
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- Tests included and passing
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- Docstrings follow Google style with examples
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- Pre-commit hooks pass
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- Breaking changes documented
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- Score code quality, testing, docs (n/5 scale)
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- Use inline comments + GitHub suggestion format
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---
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## 🌿 Branching & Commits
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- Branch from `develop` using prefixes: `feat/`, `fix/`, `docs/`, `refactor/`, `perf/`, `test/`, `chore/`
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- Use **conventional commits**: `feat:`, `fix:`, `docs:`, `refactor:`, `perf:`, `test:`, `chore:`
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- All PRs target `develop` branch
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---
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## 🎯 Context-Aware Behavior
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- **For general development tasks**: Follow [AGENTS.md](../AGENTS.md)
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- **For pull request reviews**: Follow [PR Review Guidelines](CONTRIBUTING.md#pr-review-guidelines)
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- **For detailed processes**: Consult [CONTRIBUTING.md](CONTRIBUTING.md)
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