Hey everyone, I wanted to share my experience with calibrating my Wyze IP8M-2496EB-40MM PoE IP camera. I’ve been using it for weather time-lapse videos, and while the narrow-angle lens helps, there’s still some barrel distortion. I decided to tackle this using OpenCV, and I’m thrilled with the results!First, I performed the chessboard calibration using OpenCV’s tutorial. It was a bit technical, but the process made sense once I followed the steps carefully. The key was ensuring the chessboard was well-lit and at various angles to capture accurate data. After a few trials, I got the calibration parameters just right.The best part? The distortion correction only slightly reduced the field of view, which was a small trade-off for the crisp, distortion-free images. I’ve been using the calibrated camera for my time-lapse videos, and the improvement is night and day. The images are now so much cleaner and more professional-looking.For anyone else with the same camera model, I’ve shared the calibration parameters and a simple example script in my GitHub repo. Feel free to check it out and adapt it to your setup. It’s a great way to enhance your videos without any cloud dependencies—just pure, local integration with Home Assistant.If you’re new to OpenCV, don’t be intimidated. The documentation is thorough, and with a bit of patience, you can achieve some amazing results. I’d love to hear how others are using OpenCV for their projects or if anyone has tips for further improving camera calibration. Let’s keep the learning and sharing going!