requirements.txt

# ===== Core ML / Deep Learning =====
tensorflow>=2.16.2
keras>=3.12.0
# torch and torchvision: install via conda first (conda install pytorch torchvision pytorch-cuda=12.4 -c pytorch -c nvidia)
ultralytics>=8.3.232
ultralytics-thop>=2.0.18
timm>=1.0.24
kornia>=0.8.2
kornia_rs>=0.1.10

# ===== Computer Vision =====
opencv-python>=4.8.1.78
supervision>=0.27.0
albumentations>=2.0.8
albucore>=0.0.24
pycocotools>=2.0.11
PyMatting>=1.1.15

# ===== Saliency / Segmentation (git installs) =====
# Install these manually after pip install -r requirements.txt:
#   pip install git+https://github.com/facebookresearch/segment-anything.git
#   pip install git+https://github.com/hkchengrex/Tracking-Anything-with-DEVA.git
#   pip install git+https://github.com/cheind/py-thin-plate-spline
# groundingdino-py has a strict supervision==0.6.0 pin that conflicts.
# Install it AFTER everything else with: pip install --no-deps groundingdino-py>=0.4.0
transparent-background>=1.3.4

# ===== NLP / Transformers =====
transformers>=4.25.1
tokenizers>=0.13.3
huggingface-hub>=0.36.0
safetensors>=0.7.0

# ===== Scientific / Data =====
numpy>=1.26.4,<2.0.0
scipy>=1.15.3
scikit-learn>=1.7.2
pandas>=2.3.3
polars>=1.35.2
numba>=0.63.1
matplotlib>=3.10.7
sympy>=1.14.0

# ===== Image / Media =====
pillow>=12.0.0
pydub>=0.25.1
ffmpy>=1.0.0

# ===== Utilities =====
tqdm>=4.67.1
requests>=2.32.5
beautifulsoup4>=4.14.3
gdown>=5.2.1
wget>=3.2
pyyaml>=6.0.3
filelock>=3.20.0
regex
rich>=14.2.0
click>=8.3.1
typer>=0.21.1
joblib>=1.5.2
psutil>=7.1.3
packaging>=25.0
PuLP>=3.3.0
easydict>=1.13

# ===== Web / API (for Gradio demos + split-inference server) =====
gradio>=6.4.0
fastapi>=0.128.0
uvicorn[standard]>=0.40.0
python-multipart>=0.0.9     # FastAPI multipart/form-data support (server)
httpx[http2]>=0.27.0        # Edge client for the split-inference server

# ===== Transport security: classical + post-quantum hybrid (TLS 1.3) =====
# cryptography >= 45 gives us SECP256R1 ECDH/ECDSA, AES-256-GCM, HKDF-SHA3-512.
# liboqs-python is the NIST-PQC binding (ML-KEM, ML-DSA, Falcon, SLH-DSA, …)
# used by --crypto-mode classical|pqc in run_split_inference_benchmark.py.
# On first import, liboqs-python source-builds liboqs into ~/_oqs/; that
# step needs `git` and `cmake` available on $PATH (apt: git cmake build-essential).
# If liboqs lands in ~/_oqs/lib64/ instead of ~/_oqs/lib/, symlink it:
#     ln -sf ~/_oqs/lib64 ~/_oqs/lib
cryptography>=45.0
liboqs-python>=0.15.0

# ===== TensorBoard =====
tensorboard>=2.16.2