WARNING Environment does not support cv2.imshow() or PIL Image.show()

[aleksandr-sokolov]

Search before asking

• I have searched the YOLOv5 issues and discussions and found no similar questions.

Question

When trying to run the "python detect.py --source 0" script I get WARNING Environment does not support cv2.imshow() or PIL Image.show(). The script runs, but I don't get a window with a view of the real time object detection work.

Has anyone experienced this and what solutions could you advise me on?

My environment:

• YOLOv5 torch-1.12.1+cu116 CUDA:0 (GeForce GTX 1050, 4096MiB)
• Python-3.10.8
• OS: Windows 10

Thank you in advance

Alex

Additional

No response

[github-actions]

👋 Hello @aleksandr-sokolov, 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://ultralytics.com or email support@ultralytics.com.

Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

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):

• 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 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.

[glenn-jocher]

@aleksandr-sokolov thanks for the bug report! I'm able to reproduce, I'll investigate a fix.

[glenn-jocher]

@aleksandr-sokolov good news 😃! Your original issue may now be fixed ✅ in PR #9847.

To receive this update:

• Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
• PyTorch Hub – Force-reload model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• Notebooks – View updated notebooks
• Docker – sudo docker pull ultralytics/yolov5:latest to update your image

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!

[aleksandr-sokolov]

@glenn-jocher thank you so much for the quick response and for fixing this issue. Everything is working perfectly now!
You are the best! 😃😃😃

[glenn-jocher]

@aleksandr-sokolov great!

[mlongoria1]

Hello, I am very new to yolov5 and have been experimenting for the past week or so. This project worked previously and then yesterday or the day before I cloned the repo again and it showed the symptoms discussed here on this issue. I will update the code with git pull to get the changes and give it a try.

But, I just wanted to say, for me(being a newbie) I never would have seen the WARNING text. It shows up for a short while during startup and then disappears off the screen while the source is set to webcam or ipcam with a URL.

Because of this, I was wondering if you could implement a WARNING that is in yellow font color so it is more noticeable for newbies and pros alike. Or if it would be possible to add the WARNING to show up in the LOGGER output maybe every 10,15, or 20 lines or so which ever seems more appropriate? This way as the logger is being displayed "live" and people will realize there is an issue/warning with the current run of the program?

During the streaming of video from ipcam I would never have seen this warning easily, all I would see is the endless lines of logger info that keeps displaying until I shut down the python script.

Here is a sample of color-coded output and the lines where the warning could show up every 10 lines or so.

Thank you

[glenn-jocher]

@mlongoria1 thanks for the feedback!

[nilanshu24]

@glenn-jocher the issue stays the same with me, can someone help?
I'm getting the same error that @aleksandr-sokolov mentioned. It has not been resolved yet i tried to clone the repository again.

[scraus]

Hello, @glenn-jocher! I also got the same error @aleksandr-sokolov mentioned though I have cloned the recent yolov5 version already...

[glenn-jocher]

@scraus @Patricia-Olivera Thanks for reaching out. We appreciate your patience as we work to resolve this issue. We'll investigate and update you as soon as possible.

[Ahmet-Ruchan]

"I was experiencing the same issue. I found the solution on this link. You can go and solve your problem there too."

https://stackoverflow.com/questions/50783177/opencv-the-function-is-not-implemented-rebuild-the-library-with-windows

[glenn-jocher]

@Ahmet-Ruchan i'm glad to hear you found a solution that worked for you. However, please note that we generally recommend referring to our official documentation for guidance on using YOLOv5 to ensure compatibility and up-to-date information. If you encounter any further issues or have questions, feel free to reach out here or check our documentation at the Ultralytics Docs. Happy detecting! 🚀