Feat/add yolov8 detector

[agfianf]

✨ Summary

This pull request introduces significant updates to the color_correction_asdfghjkl project, including:

• 🃏 A new YOLOv8-based card detection module.
• 💻 Enhancements to device detection utilities.
• 🔧 Updates to testing and build configurations.

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🃏 YOLOv8-Based Card Detection

• YOLOv8CardDetector Class:
  📄 src/color_correction_asdfghjkl/core/card_detection/yolov8_det_onnx.py:

  • Handles model initialization, input preparation, inference, and output processing.

• DetectionResult Schema:
  📄 src/color_correction_asdfghjkl/schemas/yolov8_det.py:

  • Defines detection result utilities for processing and visualizing detections.

• Class Names for Detection:
  📄 src/color_correction_asdfghjkl/constant/yolov8_det.py:

  • Provides predefined class names for YOLOv8 detection.

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💻 Device Detection Enhancements

• Hardware Specification Detection:
  📄 src/color_correction_asdfghjkl/utils/device_info.py:

  • Functions for identifying CPU architecture and GPU types across OS platforms.

• Device Specification Schemas:
  📄 src/color_correction_asdfghjkl/schemas/device.py:

  • Enums for GPU types and CPU architectures to standardize device specifications.

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🔧 Testing and Build Configurations

• GitHub Actions Workflow:
  🛠️ .github/workflows/tests.yml:

  • Adds support for testing across multiple Python versions.

• Pre-Commit Hook Updates:
  ⚙️ .pre-commit-config.yaml:

  • Upgrades ruff-pre-commit hook to version v0.9.2.

• Makefile Enhancements:
  🏗️ Makefile:

  • Adds targets for exporting YOLO models to ONNX format and running tests.

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🚀 Impact

These changes enhance the project's:

• 📷 Image processing capabilities with YOLOv8.
• 💾 Compatibility with diverse hardware configurations.
• ✅ Testing reliability and build consistency.