dora/examples/python-operator-dataflow/requirements.txt

# YOLOv5 requirements
# Usage: pip install -r requirements.txt

# Base ----------------------------------------
ultralytics
gitpython
ipython  # interactive notebook
matplotlib>=3.2.2
numpy>=1.18.5,<2.0.0
opencv-python>=4.1.1
Pillow>=7.1.2
psutil  # system resources
PyYAML>=5.3.1
requests>=2.23.0
scipy>=1.4.1
thop>=0.1.1  # FLOPs computation
torch  # see https://pytorch.org/get-started/locally (recommended)
torchvision
tqdm>=4.64.0

# Logging -------------------------------------
tensorboard>=2.4.1
# wandb
# clearml

# Plotting ------------------------------------
pandas>=1.1.4
seaborn>=0.11.0

# Export --------------------------------------
# coremltools>=5.2  # CoreML export
# onnx>=1.9.0  # ONNX export
# onnx-simplifier>=0.4.1  # ONNX simplifier
# nvidia-pyindex  # TensorRT export
# nvidia-tensorrt  # TensorRT export
# scikit-learn==0.19.2  # CoreML quantization
# tensorflow>=2.4.1  # TFLite export (or tensorflow-cpu, tensorflow-aarch64)
# tensorflowjs>=3.9.0  # TF.js export
# openvino-dev  # OpenVINO export

# Extras --------------------------------------
# albumentations>=1.0.3
# pycocotools>=2.0  # COCO mAP
# roboflow

opencv-python>=4.1.1
maturin