tensorRT_Pro issues

error 报错，请求帮助

3

[yolo_decode.cu:122]:launch failed: no kernel image is available for execution on the device ![image](https://github.com/shouxieai/tensorRT_Pro/assets/40259902/b510161d-7064-4692-bae1-a6bff659e695)

yxplus1116

simple_yolo.cu有一个bug

2

1850行处：const int MAX_IMAGE_BBOX = 1024 1024设的太小了，会出现漏检的情况，应该开放出来或设大点

zengwb-lx

如果想在jetson系列的开发板上面部署，是需要自己配置环境吗？有没有docker提供呢

2

Glory-Peng

FP32與FP16時間差距很大

2

![螢幕快照 2023-08-07 11:21:05](https://github.com/shouxieai/tensorRT_Pro/assets/45198905/ea22050e-7933-43b0-8c6d-f21f4a1dc626) 請問需要如何修改？

s0966066980

部署yolov7后，推理的时候有警告，求大佬看看

2

[2023-09-21 04:18:00][warn][trt_builder.cpp:33]:NVInfer: Using an engine plan file across different models of devices is not recommended and is likely to affect performance or even cause errors.

Yi-hash1

yolov5 7.0 warning: build done 65s; fatal error Assert failed, this->blobsNameMapper_.find(name) != this->blobsNameMapper_.end()

1

yolov5 v7.0 遇到的问题如下： 1. build时间过长 2. core dumped 原因未知 ``` (base) root@f3cd9dc49bd1:/datav/projects/tensorRT_Pro/simple_yolo/workspace# /datav/projects/tensorRT_Pro/simple_yolo/workspace/pro ===================== test YoloV5 FP32 yolov5s2 ================================== [info][simple_yolo.cu:2216]:Compile FP32 yolov5s2_dynamic.onnx. [warn][simple_yolo.cu:1116]:NVInfer: onnx2trt_utils.cpp:364: Your ONNX model has been generated...

HaronCHou