requirements.txt

# Core ML frameworks
torch>=2.0.0
torchvision>=0.15.0
timm>=0.9.0
transformers>=4.30.0

# Computer vision and image processing
opencv-python>=4.8.0
Pillow>=10.0.0

# Data science and analysis
numpy>=1.24.0
pandas>=2.0.0
scikit-learn>=1.3.0

# Visualization
matplotlib>=3.7.0
seaborn>=0.12.0

# Progress bars and utilities
tqdm>=4.65.0

# Optional but recommended for better performance
# CUDA-enabled PyTorch (install manually based on your CUDA version)
# pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118

# For development and testing
pytest>=7.4.0
black>=23.0.0
flake8>=6.0.0

# Memory profiling (optional)
memory-profiler>=0.61.0

# Additional utilities
pathlib>=1.0.0  # Usually included with Python 3.4+
warnings  # Built-in Python module
logging  # Built-in Python module