WARNING ⚠️ C:\Users\96111\Desktop\ultralytics02\best.pt appears to require 'dill', which is not in ultralytics requirements. AutoInstall will run now for 'dill' but this feature will be removed in the future. Recommend fixes are to train a new model using the latest 'ultralytics' package or to run a command with an official YOLOv8 model, i.e. 'yolo predict model=yolov8n.pt' requirements: Ultralytics requirement ['dill'] not found, attempting AutoUpdate... Defaulting to user installation because normal site-packages is not writeable Requirement already satisfied: dill in c:\programdata\anaconda3\lib\site-packages (0.3.8) requirements: AutoUpdate success ✅ 6.9s, installed 1 package: ['dill'] requirements: ⚠️ Restart runtime or rerun command for updates to take effect
时间: 2025-03-17 21:01:05 浏览: 267
### 解决 Ultralytics 中 'dill' 依赖问题的警告
当遇到 `ultralytics` 的 `'dill'` 依赖问题时,通常是因为某些环境配置不兼容或者网络连接不稳定引起的。以下是针对该问题的具体解决方案:
#### 网络超时错误处理
如果在安装过程中出现了类似于以下的错误消息:
```
raise ReadTimeoutError(self._pool, None, ‘Read timed out.’)
ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out.
```
这表明当前环境中存在网络连接问题或服务器响应缓慢的情况[^1]。可以通过设置 pip 配置参数来延长超时时间并优化下载源。
增加超时时间和更换国内镜像可以有效缓解此问题。运行以下命令以调整 pip 设置:
```bash
pip install ultralytics --default-timeout=100 -i https://pypi.tuna.tsinghua.edu.cn/simple
```
#### 自动修复依赖关系
对于特定模块(如 `'dill'`),可能由于版本冲突或其他原因触发了警告信息。为了自动解决这些依赖项问题,推荐使用以下方法更新所有相关包至最新稳定版:
```bash
pip install --upgrade ultralytics dill setuptools wheel
```
#### 运行时重启建议
有时即使解决了上述技术层面的问题,在实际应用中仍会因缓存残留等原因持续收到类似的提示。此时可尝试清理旧有数据后再重新启动项目流程:
```python
import shutil
import tempfile
# 清理临时文件夹中的遗留物
temp_dir = tempfile.gettempdir()
shutil.rmtree(temp_dir, ignore_errors=True)
print(f"Cleared temporary directory at {temp_dir}. Restart your runtime now.")
```
通过以上措施能够显著减少由外部因素引发的各种异常状况,并提升整体系统的稳定性与可靠性。
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