Run detector on an Image in YOLO

Autonomous Machines Jetson & Embedded Systems Jetson Nano
1

I want to run detector on an image in YOLO/darknet, the command is:

./darknet detector test cfg/coco.data cfg/yolov4.cfg yolov4.weights data/dog.jpg

but I get an error like this:
" doha@jetson-nano:~/darknet$ ./darknet detector test cfg/coco.data cfg/yolov4.cfg yolov4.weights data/dog.jpg
CUDA-version: 10020 (10020), cuDNN: 8.7.0, CUDNN_HALF=1, GPU count: 1
CUDNN_HALF=1
OpenCV version: 4.1.1
0 : compute_capability = 530, cudnn_half = 0, GPU: NVIDIA Tegra X1
net.optimized_memory = 0
mini_batch = 1, batch = 8, time_steps = 1, train = 0
layer filters size/strd(dil) input output
0 Create CUDA-stream - 0

cuDNN status Error in: file: ./src/dark_cuda.c : () : line: 176 : build time: Mar 21 2023 - 11:57:05

cuDNN Error: CUDNN_STATUS_BAD_PARAM
Darknet error location: ./src/dark_cuda.c, cudnn_check_error, line #204
cuDNN Error: CUDNN_STATUS_BAD_PARAM: Success ".

I use Jetson nano 4GB
JetPack: 4.5
Ubuntu: 18.04
Python: 3.6.9
Torch: 1.8.0
torchvision: v.0.9.0
OpenCV: ‘3.2.0’

can you help me please?
Thanks

3

Hi,

This looks like a darknet-specific issue that is related to the CUDA/cuDNN version.
Have you checked the topic below?

Thanks.

4

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