64、ubuntu使用c++/python调用alliedvisio工业相机

基本思想：需要使用linux系统调用alliedvisio工业相机完成业务，这里只做驱动相机调用，具体不涉及业务开发

Alvium 相机选型 - Allied Vision

一、先用软件调用一下用于机器视觉和嵌入式视觉的Vimba X 软件开发包 - Allied Vision

VimbaX_Setup-2023-4-Linux64.tar.gz,然后参考用户手册配置

ubuntu@ubuntu:~/Downloads/VimbaX_Setup-2023-4-Linux64/VimbaX_2023-4/cti$ sudo ./VimbaGigETL_Install.sh 
Registering GENICAM_GENTL64_PATH
Done
Please log off once before using the GigE transport layer
ubuntu@ubuntu:~/Downloads/VimbaX_Setup-2023-4-Linux64/VimbaX_2023-4/cti$ sudo ./VimbaUSBTL_Install.sh 
Registering GENICAM_GENTL64_PATH
Registering AVTUSBTL device types
Done
Please reboot before using the USB transport layer

二、关机重启之后，使用非超级权限启动viewer

ubuntu@ubuntu:~/Downloads/VimbaX_Setup-2023-4-Linux64/VimbaX_2023-4/bin$ ./VimbaXViewer

三、使用python代码调用该相机

ubuntu@ubuntu:~/Downloads/VimbaX_Setup-2023-4-Linux64/VimbaX_2023-4/api/python$ pip3 install vmbpy-1.0.4-py3-none-any.whl 
Processing ./vmbpy-1.0.4-py3-none-any.whl
Installing collected packages: vmbpy
Successfully installed vmbpy-1.0.4

测试相机使用官方的demo

ubuntu@ubuntu:~$ git clone https://github.com/alliedvision/VmbPy.git
Cloning into 'VmbPy'...
remote: Enumerating objects: 4891, done.
remote: Counting objects: 100% (4891/4891), done.
remote: Compressing objects: 100% (1267/1267), done.
remote: Total 4891 (delta 3670), reused 4837 (delta 3616), pack-reused 0
Receiving objects: 100% (4891/4891), 932.50 KiB | 616.00 KiB/s, done.
Resolving deltas: 100% (3670/3670), done.
ubuntu@ubuntu:~$ cd VmbPy/Examples/
ubuntu@ubuntu:~/VmbPy/Examples$ ls
action_commands.py           event_handling.py      multithreading_opencv.py
asynchronous_grab_opencv.py  list_cameras.py        synchronous_grab.py
asynchronous_grab.py         list_chunk_data.py     user_set.py
convert_pixel_format.py      list_features.py
create_trace_log.py          load_save_settings.py
ubuntu@ubuntu:~/VmbPy/Examples$ python3 asynchronous_grab_opencv.py 
///
/// VmbPy Asynchronous Grab with OpenCV Example ///
///

测试相机可以正常打开

四、ubuntu上使用c++调用，调用官方的c++，等着研究剔除无用的代码