TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
I was trying to build and run the sample on Ubuntu 18.04 and encountered the following error. Was wondering if anyone tried something similar?
[build] ./yolov3-trt master
Loading pre-trained weights...
Loading complete!
Using previously generated plan file located at ../configs/yolov3-kFLOAT.engine
Loading TRT Engine...
Loading Complete!
Cuda failure: no kernel image is available for execution on the device in file /work/code/yolo-tensorrt/modules/plugin_factory.cpp at line 155
[1] 19770 abort (core dumped) ./yolov3-trt
I have followed the prerequisites listed in the main read me.
Hi,
I was trying to build and run the sample on Ubuntu 18.04 and encountered the following error. Was wondering if anyone tried something similar?
I have followed the prerequisites listed in the main read me.