Streamlit_YOLOv5_Model2x / requirements.txt
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# 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==1.11.0 # https://github.com/ultralytics/yolov5/issues/8395
torchvision>=0.12.0 # 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==0.4.0 # 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==3.18.0 # 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