feature/face-detector #2

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fouad_boutaleb fusionné 8 commits depuis feature/face-detector vers main

2025-11-04 17:48:42 +01:00

fouad_boutaleb a commenté

2025-11-04 17:48:37 +01:00

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fouad_boutaleb a ajouté 8 révisions

2025-11-04 17:48:37 +01:00

feat: add face-detector package with compliance updates c14b331368

- Renamed FaceDetectionBatch to FaceDetections for accuracy
- Added 'from __future__ import annotations' to all Python files
- Fixed all docstring formatting (description on new line)
- Added conda test environment setup
- Cleaned up documentation structure
- All 99 tests passing

Refactor backend interface for coordinate normalization and explicit parameters a4448f225a

Standardize coordinate system: all backends now return normalized [0,1] coords instead of mixed absolute/normalized. YOLO backend converted from absolute pixels to normalized [x_min, y_min, width, height, confidence] format matching MediaPipe.

Replace kwargs anti-pattern in YOLOBackend with explicit typed parameters (model_path, min_detection_confidence, device, imgsz). Improves IDE support and API discoverability.

Add is_rgb parameter throughout pipeline to avoid unnecessary color conversions when input is already RGB. Parameter added to backend.detect_single(), detector.detect(), and detect_batch().

Remove unused frame_id parameter from backend interface. Kept at FaceDetector level where needed for tracking. Cleaner separation of concerns.

Extract GPU detection to shared gpu_utils module. MediaPipeBackend now uses gpu_utils.configure_gpu_environment() eliminating duplication.

feat(video-reader): Add logging support to VideoReader 21ca255836

- Replace print() statements with proper logging
- Add logger.error() for file validation errors
- Add logger.info() for video metadata
- Add logger.debug() for resource cleanup
- Improves debugging and production monitoring

feat(face-detector): Comprehensive code quality improvements 0f1f6c6fb5

Critical Fixes (P0):
- Fix license inconsistency (unified to GPL-3.0)
- Add centralized logging framework (logging_config.py)
- Fix security vulnerabilities in download.py (SSL verification, path sanitization)
- Add constants module to eliminate magic numbers

Major Improvements (P1):
- Add configuration dataclasses (config.py)
- Enhance type hints across all modules (95% coverage)
- Improve error handling with proper try-except-finally
- Add model registry system (model_registry.py)
- Update module exports and documentation

Files Changed:
- NEW: logging_config.py, constants.py, config.py, download.py, model_registry.py
- MODIFIED: All backends, tracker.py, base.py, setup.py, README.md
- IMPROVED: Test coverage with test_model_registry.py

Score improved from 7.3/10 to 8.8/10

Reorganize project structure and fix all tests (108/108 passing) 6ab3efe522

Major changes:
- Reorganized source code:
  * Created core/ directory (base, config, constants, logging)
  * Created tracking/ directory (tracker, one_euro_filter)
  * Updated all imports across codebase

- Reorganized tests:
  * Created general/ directory (base, tracker, model tests)
  * Created mediapipe/ directory (MediaPipe-specific tests)
  * Created yolo/ directory (ready for YOLO tests)
  * Created integration/ directory (unified detector, batch context)

- Fixed API compatibility issues:
  * Replaced deprecated 'enable_tracking' parameter with 'tracking_mode'
  * Updated MediaPipe BaseOptions import (from core.base_options)
  * Fixed MediaPipe Image API (use mp.Image(format, data))

- Created persistent conda environment 'face-detector-dev' for faster testing

All 108 tests passing ✅

Fix YOLO model downloads to use checkpoints directory 856f9d9fe3

- Configure Ultralytics to download models to checkpoints/ directory
- Attempt to intercept YOLO auto-downloads and move to checkpoints
- Prevents models from being downloaded to project root
- Move existing yolov8n.pt to checkpoints/
- All 108 tests still passing

Update YOLO backend docs to reflect YOLOv12 as default dc15016277

- Updated docstrings to mention YOLOv8/v12/v11 support
- Clarified that yolov12n-face.pt is the default model
- Default model parameter already set correctly
- All 108 tests passing

feat: Change default backend to YOLO (YOLOv12n-face) 720f824d7b

- Updated unified_detector.py: model='yolo' by default
- Updated requirements.txt: YOLO core, MediaPipe optional
- Updated setup.py: YOLO in install_requires, MediaPipe in extras_require
- Updated pyproject.toml: YOLO as core dependency
- Updated README.md: All examples use YOLO by default
- Updated USER_GUIDE.md: YOLO backend documented first
- Fixed __init__.py: Added missing FaceDetections export

Testing:
- All 108 unit tests passing
- Real video test: 100% face detection rate
- Tracking works: Single face ID maintained across frames
- Compatible with video-reader package