/sys/module/can/
时间: 2023-10-06 07:07:54 浏览: 33
/sys/module/can/是一个文件夹路径,它位于/sys目录下。在这个文件夹中,可以找到有关CAN(控制器局域网)模块的相关信息和配置。CAN是一种用于实时应用的串行通信协议,常用于汽车和工业领域的通信。通过/sys/module/can/路径,可以访问CAN模块的参数、状态和其他相关信息。
相关问题
Default memory usage limits of Linux kernel USB stack is too low for some cases (especially with >1 camera). To avoid issues you have to raise or disable that limit - add the following line to /etc/rc.local or analogous file: echo 0 > /sys/module/usbcore/
CSDN知道: To raise or disable the default memory usage limits of the Linux kernel USB stack, you can add the following line to the /etc/rc.local or analogous file:
```
echo 0 > /sys/module/usbcore/parameters/usbfs_memory_mb
```
This command sets the `usbfs_memory_mb` parameter to 0, effectively disabling the memory usage limit. This can be helpful when dealing with scenarios involving multiple cameras or other USB devices.
how to put my own python module into conda sys.path
To put your own Python module into the `sys.path` of a Conda environment, you can follow the steps below:
1. Activate the Conda environment where you want to add the module to the `sys.path`. You can do this by running the following command:
```
conda activate <env_name>
```
Replace `<env_name>` with the name of your Conda environment.
2. Navigate to the directory that contains your Python module.
3. Find out the exact path of the directory containing your module. You can do this by running the following command in the terminal:
```
pwd
```
This will display the path to the current directory.
4. Open a Python interpreter by running the `python` command in the terminal.
5. Import the `sys` module and append the path to your module directory to the `sys.path` list. You can do this by running the following commands in the Python interpreter:
```
import sys
sys.path.append('/path/to/your/module/directory')
```
Replace `/path/to/your/module/directory` with the actual path to your module directory.
6. Verify that the module is now available in the `sys.path` of the Conda environment by running the following command in the Python interpreter:
```
import <module_name>
```
Replace `<module_name>` with the name of your module.
If there are no errors, your module should now be available for use in the Conda environment. Keep in mind that this method only adds the module to the `sys.path` of the current session, so you will need to repeat the steps above each time you start a new terminal session and want to use the module. To make the module permanently available in the Conda environment, you should consider creating a Python package and installing it using `pip` or `conda`.
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