list-style-image: image-set();

`list-style-image: image-set()` 是一个 CSS 属性，用于为列表项设置自定义的标记图像。`image-set()` 函数允许您指定多个图像以及它们对应的不同分辨率，浏览器会根据设备的分辨率选择最佳的图像进行显示。

以下是 `list-style-image: image-set()` 的语法和示例：

ul {
  list-style-image: image-set(url('marker-1x.png') 1x, url('marker-2x.png') 2x);
}

上述代码会为无序列表的每个列表项设置自定义的标记图像。`image-set()` 函数指定了两个图像，一个是 `marker-1x.png`，另一个是 `marker-2x.png`，它们分别适合不同的设备分辨率。当浏览器检测到设备分辨率为 1x 时，它会使用 `marker-1x.png`，而在设备分辨率为 2x 时，它会选择 `marker-2x.png` 进行显示。

相关问题

pip 下载 scikit-image

可以使用pip命令来下载scikit-image库。根据引用的描述，可以使用以下命令来下载scikit-image库：

pip install scikit-image

如果在下载过程中遇到问题，可以尝试使用国内的下载源。例如，可以使用引用中提供的华为云下载源：

pip install scikit-image -i https://repo.huaweicloud.com/repository/pypi/simple

另外，确保你的环境变量设置正确。引用中提到，可以使用以下命令设置环境变量：

set PYTHONPATH=%PYTHONPATH%;C:\Users\xxx\AppData\Local\Programs\Python\Python36\Lib\site-packages\pyqt5-tools

请注意替换引用中的路径为你自己的实际路径。

总结起来，要下载scikit-image库，你可以使用pip命令并指定合适的下载源，同时确保环境变量设置正确。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [Pycharm中scikimit-image下载不成功，使用pip解决问题](https://blog.csdn.net/h918918/article/details/128055619)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *3* [PyQt5基础-创建对话框，简述了PyQt5使用过程，使用QtWidgets、QPushButton类说明](https://download.csdn.net/download/li171049/88236827)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]

tesseract --help

As an AI language model, I do not have access to command line tools like tesseract. However, I can provide you with some general information about tesseract.

Tesseract is a widely used optical character recognition (OCR) engine that can recognize text in images and convert it into editable text. It is an open-source software library that can be used in various programming languages such as C++, Python, Java, etc.

To get more information about tesseract and its usage, you can run the following command:

tesseract --help

This will display a list of command-line options that you can use with tesseract. Some of the commonly used options are:

- `-l LANG`: Specify the OCR language. Example: `tesseract image.png output -l eng` (recognize English text)
- `--psm N`: Set the page segmentation mode (PSM) to N. Example: `tesseract image.png output --psm 6` (assume a single uniform block of vertically aligned text of default size)
- `-c VAR=VALUE`: Set a variable to a value. Example: `tesseract image.png output -l eng -c tessedit_char_whitelist=0123456789` (only recognize digits)

There are many other options available, and you can find more information about them in the tesseract documentation.