Hi.
In general, FPS increases when using darknet Yolo’s cuDNN(8.0.0). However, in the new Jetpack 4.4, FPS is decreases when using cuDNN.
- Jetson Xavier NX
nvpmodel -m2, jetson_clock
-
Used yolov3-tiny weights
Not use cuDNN : 45.2 fps
Use cuDNN : 40.4 fps -
Used yolov3(320*320) weights
Not use cuDNN : 8.5 fps
Use cuDNN : 7.2 fps
- Jetson Nano
nvpmodel -m0, jetson_clock
-
Used yolov3-tiny weights
Not use cuDNN : 11.3 fps
Use cuDNN : 6.6 fps -
Used yolov3(320*320) weights
Not use cuDNN : 3.1 fps
Use cuDNN : 2.9 fps
- Jetson Nano (Use Jetpack 4.3, cuDNN 7.6.3)
nvpmodel -m0, jetson_clock
- Used yolov3-tiny weights
Not use cuDNN : 11.3 fps
Use cuDNN : 13.9 fps
I got the same results at GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) as well as GitHub - pjreddie/darknet: Convolutional Neural Networks.
I hope this problem will be solved quickly.
Thanks.