arad2022
arad2022
I can't ran model on GPU when I ran the below code I get GPU output import onnxruntime as ort print( ort.get_device() ) but when I ran the below code...
> Using OpenVino to export this module lets you rebuild the Face Analysis flow for CPU, making it run much faster. Could you please provide code example for that? How...
I want to use R100 model for face recognition which I downloaded from [here](https://drive.google.com/file/d/1Gh8C-bwl2B90RDrvKJkXafvZC3q4_H_z/view). I test different models and the output of similarity is shown in comment I used two...
Did you find any solution? What are the libraries and version that you installed?
Did you find any solution to improve speed?
I use GPU GTX 1650 but I cannot use Cuda. What should I do? onnx==1.15.0 onnxruntime==1.17.0 onnxruntime-gpu==1.17.0 insightface==0.7.3 NVIDIA-SMI 536.23 Driver Version: 536.23 CUDA Version: 12.2
Could you please inform me about the level of the progress for this task? When we can see the results?
> [@arad2022](https://github.com/arad2022) you can track the anticipated Target Date on the [YOLO GitHub Project](https://github.com/orgs/ultralytics/projects/14) and this issue can be used to reference any relevant PRs. Is there any change?