BernardoLuck
commented
2 years ago Hello,
unfortunately the get_instance() step takes some time to execute. Unfortunately, this cannot be changed. However, if you are going to acquire several images, you can create a asynchronous application with software trigger. In this way you can run "get_instance()" only once. If more information is needed on how to do this, then please create a support ticket from our website, here is the link: https://www.alliedvision.com/en/about-us/contact-us/technical-support-repair-/-rma/
I'm using an Alvium 1800 U-240c camera in Python to acquire several tens of thousands images sequentially, and time per frame is slowing the process down. I've done some timing tests and calls to the camera seem to be the slow step. For example:
start = time.perf_counter() with Vimba.get_instance() as vimba: stop = time.perf_counter()
cams = vimba.get_all_cameras () with cams [0] as cam:
framefrom1 = cam.get_frame() framefrom1.convert_pixel_format(PixelFormat.Bgr8)
The "with Vimba.get_instance()" step takes 1.105 sec, while the entire block takes 1.43 sec. Is there a way to speed up the .get_instance() process? I have the camera's DeviceLinkThroughputLimit set to 400000000, which helped some. Do you have any other suggestions?
Thanks!