Issue Overview:
Currently, in the MVS camera driver Python sample, the library path for MvCameraControl is hard-coded for aarch64 architecture. This is specified in the file MVS/Samples/aarch64/Python/MvImport/MvCameraControl_class.py at lines 16-17:
MvCamCtrldll = ctypes.cdll.LoadLibrary(
os.getenv('MVCAM_COMMON_RUNENV') + "/aarch64/libMvCameraControl.so")Proposed Change:
To enhance the portability and flexibility of the MVS camera driver across different platforms (e.g., aarch64, x86), it is necessary to implement automatic platform architecture detection. Instead of hard-coding the path, the system should dynamically construct the library path based on the current platform architecture.
Suggested Implementation:
Modify the library loading mechanism to automatically detect the platform architecture using Python's platform or os libraries and adjust the path accordingly. An example adjustment might look like this:
import os
import ctypes
import platform
architecture = platform.machine()
lib_path = os.getenv('MVCAM_COMMON_RUNENV') + f"/{architecture}/libMvCameraControl.so"
MvCamCtrldll = ctypes.cdll.LoadLibrary(lib_path)This approach ensures that the correct library version is loaded regardless of the underlying hardware architecture, making the driver more robust and easier to use across various deployment scenarios.
Impact of Change:
This change will allow users of the MVS camera driver to run their applications on different hardware platforms without modifying the source code for platform-specific paths, thereby improving the usability and maintainability of the software.
Issue Overview:
Currently, in the MVS camera driver Python sample, the library path for
MvCameraControlis hard-coded for aarch64 architecture. This is specified in the fileMVS/Samples/aarch64/Python/MvImport/MvCameraControl_class.pyat lines 16-17:Proposed Change:
To enhance the portability and flexibility of the MVS camera driver across different platforms (e.g., aarch64, x86), it is necessary to implement automatic platform architecture detection. Instead of hard-coding the path, the system should dynamically construct the library path based on the current platform architecture.
Suggested Implementation:
Modify the library loading mechanism to automatically detect the platform architecture using Python's platform or os libraries and adjust the path accordingly. An example adjustment might look like this:
This approach ensures that the correct library version is loaded regardless of the underlying hardware architecture, making the driver more robust and easier to use across various deployment scenarios.
Impact of Change:
This change will allow users of the MVS camera driver to run their applications on different hardware platforms without modifying the source code for platform-specific paths, thereby improving the usability and maintainability of the software.