Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

FLOPS result In the README #3413

Closed
chocosaj opened this issue Jun 1, 2021 · 2 comments · Fixed by #3422
Closed

FLOPS result In the README #3413

chocosaj opened this issue Jun 1, 2021 · 2 comments · Fixed by #3422
Labels
question Further information is requested

Comments

@chocosaj
Copy link
Contributor

chocosaj commented Jun 1, 2021

❔Question

I find that in the table of the pretraind result has a column named FLOPS. However, as my understanding, for algorithm, FLOPS is meanless; the real deal should be FlOPs. I wonder the 17.0 of YOLOv5s in the table of FLOPS, is this actually "FLOPs" or there is other specific calculation?

Additional context

@chocosaj chocosaj added the question Further information is requested label Jun 1, 2021
@github-actions
Copy link
Contributor

github-actions bot commented Jun 1, 2021

👋 Hello @chocosaj, thank you for your interest in 🚀 YOLOv5! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

For business inquiries or professional support requests please visit https://www.ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com.

Requirements

Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:

$ pip install -r requirements.txt

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

CI CPU testing

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

@glenn-jocher
Copy link
Member

@chocosaj that's a good point! After doing a bit of research at https://github.com/Lyken17/pytorch-OpCounter and https://en.wikipedia.org/wiki/FLOPS it seems the term we want is FLOPs with a lowercase s as you mentioned. Can you submit a PR for the README for this change please?

@glenn-jocher glenn-jocher linked a pull request Jun 2, 2021 that will close this issue
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
question Further information is requested
Projects
None yet
Development

Successfully merging a pull request may close this issue.

2 participants