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Solving cv2.imshow() Issues in PyCharm on MacOS

Struggling with `cv2.imshow()` in PyCharm on MacOS? Discover the key solution to resolve display issues, ensuring your OpenCV code runs smoothly. --- This video is based on the question https://stackoverflow.com/q/64950340/ asked by the user 'Omar AlSuwaidi' ( https://stackoverflow.com/u/14492001/ ) and on the answer https://stackoverflow.com/a/70004984/ provided by the user 'Sujith R Kumar' ( https://stackoverflow.com/u/3719446/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: cv2.imshow() is not working properly in PyCharm (MacOS) Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Understanding the Problem with cv2.imshow() in PyCharm on MacOS If you are a developer working with OpenCV in PyCharm on MacOS, you may have encountered a frustrating issue where the cv2.imshow() function fails to display images properly. Despite using the correct code, you might see no output and have to manually stop the execution of your script. This can be confusing, especially if your code works flawlessly on other operating systems, such as Windows. Problem Overview In a typical scenario, when you run code like the example below: [[See Video to Reveal this Text or Code Snippet]] You would expect the image to be displayed for a short period before closing automatically. However, on certain setups, particularly with Python 3.9.0 on macOS Big Sur within PyCharm, you might find that: No image appears on the screen. The script seems to run indefinitely. You need to interrupt the process manually. The Solution: Installing the Right OpenCV Package Fortunately, there is a solution to this problem that has been beneficial to many developers. The key lies in installing the proper version of the OpenCV package. Here’s how you can fix the issue effectively. Step-by-Step Guide to Resolve the Issue 1. Use the Correct OpenCV Package It appears that conflicts may arise with the regular OpenCV installation in certain environments, especially on macOS. To resolve this, you should install opencv-python-headless in addition to the standard OpenCV package. Follow these steps: Open your terminal. Execute the following commands: [[See Video to Reveal this Text or Code Snippet]] 2. Restart PyCharm After installing the packages, it’s a good idea to restart PyCharm to ensure that all changes are applied properly. 3. Test Your Code Again Once you have reinstated PyCharm and re-run your application, try executing your code again to see if the image displays correctly. 4. Alternative Troubleshooting If you continue to face issues, consider the following alternatives: Check that your image file (Cat.jpg) is in the correct directory where your script is running. Ensure that your macOS permissions allow the program to display windows and images. Why Does This Work? The opencv-python-headless package is designed for environments that do not support GUI operations, and it can help mitigate issues related to image display in various circumstances. Combining both packages can help create a more versatile environment capable of handling different graphical operations seamlessly. Conclusion Addressing cv2.imshow() failures in PyCharm on MacOS can be a hassle, but with the installation of opencv-python-headless, you can restore proper functionality to your image display capabilities. Follow the outlined steps for a smooth experience, allowing you to focus on what truly matters — your coding projects. By keeping this guide handy, you can troubleshoot this common problem and avoid the frustrations that come with it.