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Hello, I hope you are doing well. First of all, thank you for maintaining this project and providing such a great tool for the community. I have been using YOLO with Darknet ROS and successfully integrated it into my system. However, I am facing a significant performance issue when deploying it on my robot, and I would really appreciate any guidance or suggestions to resolve this problem.
I have successfully integrated YOLO with Darknet ROS and can run it without any issues. However, when I deploy it on my robot, which uses an Intel NUC 7 with an i5 processor, I experience extremely low FPS (around 1 FPS).
I have already tried various configuration optimizations, but none of them seem to improve the performance.
I expect to get at least 20 fps when i run the yolo
System (please complete the following information):
OS: Ubuntu 20.04
ROS version: ROS Noetic
GPU when relevant: Intel HD Graphics 620
The text was updated successfully, but these errors were encountered:
I also measured 1ftp around, I took a look at the time mainly in this function:float* prediction = network_predict(net_, X);I feel like I need cuda to speed it up
Hello, I hope you are doing well. First of all, thank you for maintaining this project and providing such a great tool for the community. I have been using YOLO with Darknet ROS and successfully integrated it into my system. However, I am facing a significant performance issue when deploying it on my robot, and I would really appreciate any guidance or suggestions to resolve this problem.
I have successfully integrated YOLO with Darknet ROS and can run it without any issues. However, when I deploy it on my robot, which uses an Intel NUC 7 with an i5 processor, I experience extremely low FPS (around 1 FPS).
I have already tried various configuration optimizations, but none of them seem to improve the performance.
I expect to get at least 20 fps when i run the yolo
System (please complete the following information):
The text was updated successfully, but these errors were encountered: