Open cdy-for-grad opened 1 month ago
Also wondering how latency is measured? I think there is a standard procedure for measuring yolo models and can yolov10 author describe it to us? Gratefully appreciated!
may you please state how you converted from Onnx to tensorRT ? plus, what are the requirements and could it be done on google colab ? Thanks in advance
I have the same problem. I had Yolov8s a bit better or equal fps than Yolov10 when benchmarking. on FP32 - approximately equal on FP16 - worse
Hello,i convert the official pretrained model to the onnx model by
yolo export model=jameslahm/yolov10{n/s/m/b/l/x} format=onnx opset=13 simplify
Then, i convert the onnx to the tensorRT-fp16 in T4[TensorRT version 8.6.1.6],The result is as follow , latency is the mean value, the The last two lines are qps with different batch size.![img_v3_02cl_71949ae7-37ac-46e2-aa80-335320c4addg](https://github.com/THU-MIG/yolov10/assets/140789053/34391096-423c-47a5-981c-cf181e55b147)
wish you give the solution that i can get the result in your paper,Thank you