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

# Base ----------------------------------------
matplotlib>=3.2.2
numpy>=1.18.5
opencv-python>=4.1.1
Pillow>=7.1.2
PyYAML>=5.3.1
requests>=2.23.0
scipy>=1.4.1  # Google Colab version
torch>=1.7.0,!=1.12.0  # https://github.com/ultralytics/yolov5/issues/8395
torchvision>=0.8.1,!=0.13.0 # https://github.com/ultralytics/yolov5/issues/8395
tqdm>=4.41.0
protobuf<4.21.3  # https://github.com/ultralytics/yolov5/issues/8012

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

# 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
onnxruntime
# nvidia-pyindex # TensorRT export
# nvidia-tensorrt # TensorRT export
scikit-learn>=0.19.2  # CoreML quantization
tensorflow-gpu>=2.4.1  # TFLite export
tensorflowjs>=3.9.0  # TF.js export
openvino-dev==2022.1.0  # OpenVINO export

# Extras --------------------------------------
ipython  # interactive notebook
psutil  # system utilization
thop>=0.1.0  # FLOPs computation
# albumentations>=1.0.3
# pycocotools>=2.0  # COCO mAP
# roboflow