The latest articles on DEV Community by Vadym Vorobiov (@vadym_vorobiov_fa6741006a). https://dev.to/vadym_vorobiov_fa6741006a https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3637172%2F89cec7d8-636e-4b07-9d4c-173be40c0c59.png https://dev.to/vadym_vorobiov_fa6741006a en Vadym Vorobiov Sun, 30 Nov 2025 09:30:52 +0000 https://dev.to/vadym_vorobiov_fa6741006a/object-detection-in-java-with-opencv-yolo11-full-guide-source-code-43i1 https://dev.to/vadym_vorobiov_fa6741006a/object-detection-in-java-with-opencv-yolo11-full-guide-source-code-43i1 <p>Most object-detection guides expect you to learn Python before you’re even allowed to touch computer vision.</p> <p>So, for Java devs who want to explore CV without learning Python first, check out my YOLO11 + OpenCV video object detection tutorial in plain Java.</p> <p>(Ok, ok… there’s still a tiny bit of Python involved 😄)</p> <p>What it covers:<br> • Exporting YOLO11 to ONNX<br> • Setting up OpenCV DNN in Java<br> • Processing video files with real-time detection<br> • Running the whole pipeline end-to-end</p> <p>Big thanks to Ultralytics for sharing pre-trained models!</p> <p>Source code + tutorial: <a href="https://github.com/vvorobiov/opencv_yolo" rel="noopener noreferrer">github</a></p> computervision yolo java opencv