Docker报错,(default) No default Boot2Docker ISO found locally, downloading the latest release...

本文介绍在Windows10环境下安装DockerToolbox的过程,并解决安装后出现的两个常见问题:找不到git的bash.exe和缺失Boot2DockerISO文件。提供了问题的具体报错信息及解决方案。

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环境简述:

系统:Windows 10家庭版

安装 Hyper-V 后, 安装 Docker For Windows 还是不好使

后面选择下载了,Docker Toolbox ,一路 next ,顺利安装。

安装完成后,打开 Docker Quickstart Terminal 遇到错误信息如下:

报错信息:

解决方案:

因为打开  Docker Quickstart Terminal 需要用 git 的 bash.exe ,因为之前早就已经装过,这里选择浏览,找到 git 的安装路径,使用git 的 bin 目录下的 bash.exe 打开就可。

报错信息:

Running pre-create checks...
(default) No default Boot2Docker ISO found locally, downloading the latest release...
(default) Latest release for github.com/boot2docker/boot2docker is v18.09.8
(default) Downloading C:\Users\logic\.docker\machine\cache\boot2docker.iso from https://github.com/boot2docker/boot2docker/releases/download/v18.09.8/boot2docker.iso...

解决方案:

报错信息中已经明确说明,没有 Boot2Docker ISO,只能慢慢等下载下来。也可以直接手动下载,然后放在对应的文件夹下,再重新打开 Docker Quickstart Terminal 即可。

报错信息中已给出对应的文件夹(C:\Users\logic\.docker\machine\cache\boot2docker.iso)及下载地址(https://github.com/boot2docker/boot2docker/releases/download/v18.09.8/boot2docker.iso)

### YoloX Pretrained Weights File Information For the YoloX model, specifically regarding the `yolox_x.pth` pretrained weights file, this file can be loaded using methods similar to those described for models utilizing a `from_pretrained()` method which downloads and caches the latest version of model weights and configuration. If the most recent files are already present in the local cache, the system reuses these cached files instead of redownloading them[^1]. To obtain or verify the presence of the `yolox_x.pth` file within an environment such as one set up through Docker following specific instructions, it is necessary to ensure that commands provided for generating calibration data or setting up environments have been executed correctly. This typically involves navigating into directories where the project files reside and executing shell scripts designed to start Docker images with predefined configurations[^2]. Once inside the appropriate Docker container configured for deep learning tasks like object detection with YoloX, users may find pre-trained weight files either by checking default paths expected by the framework or downloading directly via APIs or URLs offered by maintainers of the YoloX repository. ```bash # Example command to check if yolox_x.pth exists in a common directory ls /path/to/yolox/pretrained/ ``` If not available locally, acquiring the `yolox_x.pth` could involve visiting official repositories or documentation pages associated with YoloX projects on platforms like GitHub. From there, links or API endpoints might provide direct access to download required pretrained weights. --related questions-- 1. How does caching work when loading pretrained models? 2. What steps should be taken before running custom training jobs after obtaining pretrained weights? 3. Can you explain how to modify existing Docker setup scripts for different versions of YoloX? 4. Where can detailed documentation about YoloX's architecture and its components be found?
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