Hi,
I tried to run my application on Jetson AGX Xavier and have this error:
Importing library darknet for YOLO AlexeyAB
Loading YOLO model
Try to load cfg: /.../file1.cfg, weights: /.../file2.weights, clear = 0
CUDA status Error: file: ./src/dark_cuda.c : () : line: 499 : build time: Jul 22 2020 - 09:42:45
CUDA Error: no CUDA-capable device is detected
python3: Segmentation fault (core dumped)
I am running the application as a normal user
I tried to add the user to the group “video” as suggested here but that doesn’t resolve my problem
I installed the Jetson AGX Xavier Using JetPack 4.4
CUDA version:
$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Oct_23_21:14:42_PDT_2019
Cuda compilation tools, release 10.2, V10.2.89
Tegra version:
$ cat /etc/nv_tegra_release
# R32 (release), REVISION: 4.3, GCID: 21589087, BOARD: t186ref, EABI: aarch64, DATE: Fri Jun 26 04:34:27 UTC 2020
Sample test to detect CUDA and GPU Driver as suggested here:
$ sudo docker run --runtime=nvidia devicequery:latest
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "Xavier"
CUDA Driver Version / Runtime Version 10.2 / 10.2
CUDA Capability Major/Minor version number: 7.2
Total amount of global memory: 15823 MBytes (16591314944 bytes)
( 8 ) Multiprocessors, ( 64) CUDA Cores/MP: 512 CUDA Cores
...
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.2, CUDA Runtime Version = 10.2, NumDevs = 1
Result = PASS
Any help would be very appreciated!