|
|
|
@ -89,7 +89,8 @@ If you just want to taste first, you can download the onnx model which are expor |
|
|
|
|
|
|
|
|
|
[**YOLOv8-x**](https://triplemu.oss-cn-beijing.aliyuncs.com/YOLOv8/ONNX/yolov8x_nms.onnx?OSSAccessKeyId=LTAI5tN1dgmZD4PF8AJUXp3J&Expires=1673936778&Signature=3o%2F7QKhiZg1dW3I6sDrY4ug6MQU%3D) |
|
|
|
|
|
|
|
|
|
## Export Engine by TensorRT Python api |
|
|
|
|
## Export TensorRT Engine |
|
|
|
|
### 1. Export Engine by TensorRT Python api |
|
|
|
|
|
|
|
|
|
You can export TensorRT engine from ONNX by [`build.py` ](build.py). |
|
|
|
|
|
|
|
|
@ -116,7 +117,7 @@ python3 build.py \ |
|
|
|
|
|
|
|
|
|
You can modify `iou-thres` `conf-thres` `topk` by yourself. |
|
|
|
|
|
|
|
|
|
## 2. Export Engine by Trtexec Tools |
|
|
|
|
### 2. Export Engine by Trtexec Tools |
|
|
|
|
|
|
|
|
|
You can export TensorRT engine by [`trtexec`](https://github.com/NVIDIA/TensorRT/tree/main/samples/trtexec) tools. |
|
|
|
|
|
|
|
|
|