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Yonja / Gradio-YOLOv5-Det

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requirements.txt 1.16 KB
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代码阿尔法 提交于 2022-06-01 08:55 . model download bash shell update
# 参考:https://github.com/ultralytics/yolov5/blob/master/requirements.txt
# pip install -r requirements.txt
# Base ----------------------------------------
matplotlib>=3.2.2
numpy>=1.22.3
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
# torchvision>=0.8.1
tqdm>=4.41.0
# Gradio YOLOv5 Det ----------------------------------------
gradio>=3.0.3
wget>=3.2
rich>=12.2.0
fpdf>=1.7.2
plotly>=5.7.0
bokeh>=2.4.2
openpyxl>=3.0.10
rich>=12.2.0
# Logging -------------------------------------
tensorboard>=2.4.1
# wandb
# Plotting ------------------------------------
pandas>=1.1.4
seaborn>=0.11.0
# Export --------------------------------------
# coremltools>=4.1 # CoreML export
# onnx>=1.9.0 # ONNX export
# onnx-simplifier>=0.3.6 # ONNX simplifier
# scikit-learn==0.19.2 # CoreML quantization
# tensorflow>=2.4.1 # TFLite export
# tensorflowjs>=3.9.0 # TF.js export
# openvino-dev # OpenVINO export
# Extras --------------------------------------
ipython # interactive notebook
psutil # system utilization
thop # FLOPs computation
# albumentations>=1.0.3
# pycocotools>=2.0 # COCO mAP
# roboflow
Python
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gradio_yolov5_det
Gradio-YOLOv5-Det
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