Hi
We are trying to Run Yolov4 on jetsonNano developer kit 4gb Ram, but So far we have only managed to get 1Fps we need at least 4fps.
is this because we are building it wrong for jetson?
THe yolov4 model was build based on this repo GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
We are new to jetson Nano, Anyone who knows a way or little guidance it would help us a lot
We can use yolov3 or tiny yolo for higher fps but we can not compromise on accuracy, So Please help us
Thank you
Hi,
Usually, we can get a better performance with Deepstream since it applied TensorRT acceleration.
Not sure if DeepstreamSDK sample can fully support YOLOv4.
Would you mind to give it a try first?
/opt/nvidia/deepstream/deepstream-4.0/sources/objectDetector_Yolo/
Thanks.
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I have implemented TensorRT YOLOv4. These are the performance numbers I got when I tested it on Jetson Nano with JetPack-4.4.
TensorRT engine |
mAP @ IoU=0.5:0.95 |
mAP @ IoU=0.5 |
FPS on Nano |
yolov4-288 (FP16) |
0.372 |
0.590 |
6.18 |
yolov4-416 (FP16) |
0.454 |
0.698 |
3.50 |
yolov4-608 (FP16) |
0.484 |
0.735 |
1.77 |
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Recently AlexeyAB released YOLOv4-Tiny. It has been indicated to yield 39 FPS on the nano and 290 FPS on the AGX for 416x416. Have a look at the official repo at GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
I’ve had some interesting discussion with AlexeyAB about TensorRT yolov4 and yolov4-tiny FPS numbers on Jetson Nano. Check it out here: Update readme, add tensorrt yolov3-spp, yolov4 by wang-xinyu · Pull Request #5453 · AlexeyAB/darknet · GitHub
Here’s a quick update of FPS numbers (on Jetson Nano) after I updated my tensorrt yolov4 implementation with a “yolo_layer” plugin. For example, “yolov4-416” (FP16) has been improved to 4.62 FPS. Refer to my jkjung-avt/tensorrt_demos repository for details.
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Does deepstream 5.0 support yolov4?
You can use my repo for yolov4 or yolov5 on deepstream
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