# 参考：https://github.com/ultralytics/yolov5/blob/master/requirements.txt
# pip install -r requirements.txt
# pip 22.1.2

# Base ----------------------------------------
matplotlib==3.5.2
numpy==1.19.5
opencv-python==4.5.5.64
Pillow==9.2.0
PyYAML==6.0
requests==2.28.1
scipy==1.5.4  # 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==4.64.0
protobuf==3.19.4  # https://github.com/ultralytics/yolov5/issues/8012


# Streamlit YOLOv5 Model2X
streamlit==1.10.0


# Logging -------------------------------------
tensorboard==2.9.1
# wandb

# Plotting ------------------------------------
pandas==1.1.5
seaborn==0.11.2

# Export --------------------------------------
coremltools==5.2.0  # CoreML export
onnx==1.12.0  # ONNX export
onnx-simplifier==0.4.1  # ONNX simplifier
onnxruntime-gpu==1.11.1
nvidia-pyindex==1.0.9
nvidia-tensorrt==8.4.1.5
scikit-learn==0.24.2  # CoreML quantization
tensorflow==2.4.1  # TFLite export
tensorflowjs==3.20.0  # TF.js export
openvino-dev==2022.1.0  # OpenVINO export

# Extras --------------------------------------
ipython==8.4.0  # interactive notebook
psutil==5.9.1  # system utilization
thop==0.1.0.post2207010342  # FLOPs computation
# albumentations>=1.0.3
# pycocotools>=2.0  # COCO mAP
# roboflow