FPS drop while using Ultralytics about ultralytics HOT 2 OPEN

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Install

Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

Environments

YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

from ultralytics.

Hello! It sounds like you're experiencing a significant drop in FPS after reinstalling Ubuntu, which must be quite frustrating!

One likely reason for the drop in FPS could be differences in the GPU drivers installed during the OS reinstallation. I recommend checking if your NVIDIA drivers are up to date and correspond to the version you had previously when your setup was achieving higher FPS.

Here’s how you can check and update your NVIDIA drivers:

1. Open a terminal and run nvidia-smi to check your current driver version.
2. Visit the NVIDIA website to compare your current driver version with the latest available for your GTX GPU.
3. If an update is needed, you can download and install the latest drivers from NVIDIA's official site.

Additionally, verify if CUDA and cuDNN are properly installed and match the versions required by YOLOv8, as these can also significantly affect processing speed.

If issues persist after updating your drivers, let’s troubleshoot further or examine other system configurations that might be impacting performance.

Looking forward to your PR, and hoping this helps get your FPS back up! 🚀

from ultralytics.