requirements.txt

# =============================================================================
# CVCIMP26 / cascaded surveillance VAD — Python dependencies
# =============================================================================
# Install:  python -m venv .venv && .venv\Scripts\activate  (Windows)
#           pip install --upgrade pip
#           pip install -r CVCIMP26/requirements.txt
#
# Python: 3.10+ recommended (matches paper experimental setup narrative).
# PyTorch: install the wheel matching your CUDA version from https://pytorch.org
#         if you use GPU (e.g. pip install torch torchvision --index-url ...).
# =============================================================================

# --- Core numerics ---
numpy>=1.24.0,<3.0.0

# --- Deep learning (CPU default; override with CUDA build from pytorch.org) ---
torch>=2.0.0,<3.0.0
torchvision>=0.15.0

# --- Image / video I/O ---
opencv-python>=4.8.0,<5.0.0
Pillow>=10.0.0

# --- Metrics & reconstruction quality (E6 / final_metrics) ---
scikit-learn>=1.3.0
scikit-image>=0.21.0

# --- Plotting (figures / optional notebooks) ---
matplotlib>=3.7.0

# --- CLI progress ---
tqdm>=4.65.0

# --- Stage II (YOLO) — ablation_study, anomaly_dashboard ---
ultralytics>=8.0.0

# --- Multi-agent scaling benchmark (E5) ---
psutil>=5.9.0

# =============================================================================
# Optional — Stage III (VLM) / Hugging Face (when you add inference scripts)
# =============================================================================
# transformers>=4.40.0
# accelerate>=0.30.0
# safetensors>=0.4.0

# =============================================================================
# Optional — development
# =============================================================================
# pytest>=7.0.0
# ruff>=0.4.0