On Tuesday, 28 February 2023 at 12:29:05 UTC, Sergey wrote:
On Tuesday, 28 February 2023 at 12:08:14 UTC, Ferhat Kurtulmuş
wrote:
On Wednesday, 15 February 2023 at 17:32:33 UTC, Ferhat
Kurtulmuş wrote:
I heard you are not having fun enough with d today.
Hello everyone,
We have mir.ndslice and dcv, and then we should be able to
run, for instance, tinyYOLOv3 with video streams. I believe
that such applications will attract more people's attention to
d.
Here is how it looks like and the source code:
https://www.youtube.com/watch?v=m3ex9lDELfQ
https://github.com/aferust/dcv-tinyyolov3
Great job. Could we have any comparison in the
performance/memory usage versus original solution in Python?
I have not conducted any comparisons yet. There are a lot of
factors affecting performance. My old laptop lacks good cuda
support, so I disabled the CUDA acceleration. I cannot give you a
strongly backed test result, but I can say that preprocessing is
not so costly in my example. The FPS drop is primarily due to
onnxruntime itself. The preprocessing step only takes 2 or 3
msecs. The newer versions of onnxruntime have various backend
options for acceleration, such as CUDA, tensorrt, directML (uses
directX).
