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Update tensorflow requirement from <=2.19.0,>=2.0.0 to >=2.0.0,<=2.20.0 #1

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Update tensorflow requirement from <=2.19.0,>=2.0.0 to >=2.0.0,<=2.20.0 #1

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Update tensorflow requirement from <=2.19.0,>=2.0.0 to >=2.0.0,<=2.20.0
dependabot[bot] Nov 29, 2025
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UltralyticsAssistant Nov 29, 2025
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2 changes: 1 addition & 1 deletion predict.py
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Expand Up @@ -14,4 +14,4 @@
probs = result.probs # 分类输出的Probs对象
obb = result.obb # OBB输出的Oriented boxes对象
result.show() # 显示到屏幕
result.save(filename="result.jpg") # 保存到磁盘
result.save(filename="result.jpg") # 保存到磁盘
2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -94,7 +94,7 @@ export = [
"coremltools>=8.0; platform_system != 'Windows' and python_version <= '3.13'", # CoreML supported on macOS and Linux
"scikit-learn>=1.3.2; platform_system != 'Windows' and python_version <= '3.13'", # CoreML k-means quantization
"openvino>=2024.0.0", # OpenVINO export
"tensorflow>=2.0.0,<=2.19.0", # TF bug https://github.com/ultralytics/ultralytics/issues/5161
"tensorflow>=2.0.0,<=2.20.0", # TF bug https://github.com/ultralytics/ultralytics/issues/5161
"tensorflowjs>=2.0.0", # TF.js export, automatically installs tensorflow
"tensorstore>=0.1.63; platform_machine == 'aarch64' and python_version >= '3.9'", # for TF Raspberry Pi exports
"h5py!=3.11.0; platform_machine == 'aarch64'", # fix h5py build issues due to missing aarch64 wheels in 3.11 release
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2 changes: 1 addition & 1 deletion train.py
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Expand Up @@ -6,4 +6,4 @@
model = YOLO("yolo11n.yaml").load("yolo11n.pt") # 从YAML构建并转移权重

# 训练模型
results = model.train(data="coco8.yaml", epochs=100, imgsz=640)
results = model.train(data="coco8.yaml", epochs=100, imgsz=640)