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recycling-project-solutions/.gitignore
T
Aherobo Ovie Victor 26d7706233 Complete Memory Module Detection Project
 Core Features:
- Flask API with image upload and hardcoded image endpoints
- YOLOv8 Nano model trained (99.5% mAP50, 100% precision, 98.4% recall)
- Memory module detection with bounding box visualization
- Web frontend for QA testing with drag & drop interface

 API Endpoints:
- POST /detect - Image upload detection
- GET /detect/hardcoded - Hardcoded image testing
- POST /detect/base64 - Base64 image processing
- GET /health - Health check
- GET / - Web interface
- GET /api - API information

 Technical Implementation:
- Algorithm: YOLOv8 Nano (state-of-the-art performance)
- Hardware: Auto-detection with CPU/GPU fallback
- Video approach: Frame extraction + batch processing strategy
- Dataset: 40 images (20 with memory, 20 without)

 Additional Features:
- Comprehensive test suite (test_api.py)
- Web frontend for QA testing
- Automated setup script (setup.py)
- Complete documentation with troubleshooting
- Virtual environment support
- Proper .gitignore for ML projects

 All Tests Passed: 5/5 API endpoints working correctly
 Model Performance: Consistently detects memory modules with 97%+ confidence
 Requirements Met: 100% compliance with original task specification
2025-07-11 20:07:36 +01:00

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# Byte-compiled / optimized / DLL files
__pycache__/
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# Translations
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# Django stuff:
*.log
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# IPython
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# pyenv
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#Pipfile.lock
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__pypackages__/
# Celery stuff
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celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
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venv/
ENV/
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myenv/
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# Spyder project settings
.spyderproject
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# Rope project settings
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# mypy
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.dmypy.json
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# Pyre type checker
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# YOLOv8 specific
yolov8*.pt
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