Release 8.0.4 fixes (#256)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com> Co-authored-by: TechieG <35962141+gokulnath30@users.noreply.github.com> Co-authored-by: Parthiban Marimuthu <66585214+partheee@users.noreply.github.com>
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18 changed files with 96 additions and 67 deletions
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@ -95,7 +95,7 @@ results = model("https://ultralytics.com/images/bus.jpg") # 预测图像
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success = YOLO("yolov8n.pt").export(format="onnx") # 将模型导出为 ONNX 格式
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```
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[模型](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/yolo/v8/models) 会从 Ultralytics [发布页](https://github.com/ultralytics/ultralytics/releases) 自动下载。
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[模型](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models) 会从 Ultralytics [发布页](https://github.com/ultralytics/ultralytics/releases) 自动下载。
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### 已知问题 / 待办事项
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@ -111,7 +111,7 @@ success = YOLO("yolov8n.pt").export(format="onnx") # 将模型导出为 ONNX
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所有 YOLOv8 的预训练模型都可以在这里找到。目标检测和分割模型是在 COCO 数据集上预训练的,而分类模型是在 ImageNet 数据集上预训练的。
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第一次使用时,[模型](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/yolo/v8/models) 会从 Ultralytics [发布页](https://github.com/ultralytics/ultralytics/releases) 自动下载。
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第一次使用时,[模型](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models) 会从 Ultralytics [发布页](https://github.com/ultralytics/ultralytics/releases) 自动下载。
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<details open><summary>目标检测</summary>
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