# RF-DETR SoccerNet - Requirements
# Professional soccer object detection model

# Core ML and Computer Vision
torch>=1.9.0
torchvision>=0.10.0
rfdetr>=1.0.0

# Data Processing and Analysis
pandas>=1.3.0
numpy>=1.19.0

# Image and Video Processing
opencv-python-headless>=4.5.0
pillow>=8.0.0

# Progress and Utilities
tqdm>=4.62.0
pyyaml>=5.4.0

# Optional: For advanced analysis and visualization
# matplotlib>=3.5.0
# plotly>=5.0.0
# seaborn>=0.11.0

# Optional: For Hugging Face Hub integration
# huggingface_hub>=0.10.0
# transformers>=4.20.0

# Optional: For distributed processing
# accelerate>=0.12.0

# System Requirements Notes:
# - CUDA 11.0+ recommended for GPU acceleration
# - Python 3.8+ required
# - At least 8GB RAM for video processing
# - 4GB+ GPU memory for optimal performance