Open xufabs opened 3 months ago
First of all thank you for your contribution.
But there was a problem.
There are some pictures using this program for ONNXRUNTIME C++ inference, the confidence performance is too different from the yolov10 official inference.
The woman in white has only 0.5 confidence, while python has 0.8.
I've also used some other people's images, which have a 0.8 confidence with python, but only 0.1 with this project, and will even be recognized as birds.
I want to know what caused this.
onnxruntime-linux-x64-1.17.1
yolov10cpp + yolov10n.onnx 👆
yolov10py + yolov10n.pt 👆
ubuntu 24.04 opencv 4.5.3
https://github.com/UNeedCryDear/yolov8-opencv-onnxruntime-cpp I hope this can help you to debug
yolov8 onnxruntime cpu cpp + yolov8n.onnx
Sure, I replicate this result, and yeah, there is a different between the both
Sure, I replicate this result, and yeah, there is a different between the both
Can you directly supply ONNX model of yolov10 for downloading in your github page?
https://github.com/Ultraopxt/yolov10cpp
maybe this can help
Sure, I replicate this result, and yeah, there is a different between the both
Can you directly supply ONNX model of yolov10 for downloading in your github page?
Sure, I replicate this result, and yeah, there is a different between the both
I've some experiment with change a lot parameters and the best way at this moment I recommend you that lower the threshold confidences
https://github.com/Ultraopxt/yolov10cpp,maybe this can help
Sure, I replicate this result, and yeah, there is a different between the both
Can you directly supply ONNX model of yolov10 for downloading in your github page?
Sure, I replicate this result, and yeah, there is a different between the botbut I think that is no necessary apply a letter box to ma
It's a good idea
With letter box implentations
First of all thank you for your contribution.
But there was a problem.
There are some pictures using this program for ONNXRUNTIME C++ inference, the confidence performance is too different from the yolov10 official inference.
The woman in white has only 0.5 confidence, while python has 0.8.
I've also used some other people's images, which have a 0.8 confidence with python, but only 0.1 with this project, and will even be recognized as birds.
I want to know what caused this.
onnxruntime-linux-x64-1.17.1
yolov10cpp + yolov10n.onnx 👆
yolov10py + yolov10n.pt 👆