-
-
Notifications
You must be signed in to change notification settings - Fork 15.9k
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
Why the results of the detect script are not the same as the results of the val script? #13084
Comments
👋 Hello @ThreeStones1029, 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 a minimum reproducible example to help us debug it. If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results. RequirementsPython>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. To get started: git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # install EnvironmentsYOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
StatusIf this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit. Introducing YOLOv8 🚀We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀! Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects. Check out our YOLOv8 Docs for details and get started with: pip install ultralytics |
@ThreeStones1029 hello, Thank you for your detailed report and for providing the reproduction steps. To help us investigate the issue further, could you please provide a minimum reproducible code example? This will allow us to better understand the context and replicate the issue on our end. You can refer to our guide on creating a minimum reproducible example here: Minimum Reproducible Example. Additionally, please ensure that you are using the latest versions of pip install --upgrade torch
git pull https://github.com/ultralytics/yolov5 There are a few potential reasons for the discrepancy between the
To further diagnose the issue, you can try the following steps:
If you can share the specific code snippets or configurations you are using for both scripts, it would be greatly helpful. We appreciate your patience and cooperation as we work together to resolve this issue. |
Search before asking
Question
Why the results of the two scripts detect and val are not the same, and much worse. The reproduction process:
But when I used coco's api to evaluate these two results, the map was far apart?
The first one is the result of the val script evaluated using coco after it is run.
The second is the result evaluated using coco after the detect script is run.
I also found that there are more anns in the json file produced by the val script than in the json file produced by the detect script. ann is a dictionary like this.
Hope you can get a reply, thank you very much!
Additional
No response
The text was updated successfully, but these errors were encountered: