Most object-detection guides expect you to learn Python before you’re even allowed to touch computer vision.
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.
(Ok, ok… there’s still a tiny bit of Python involved 😄)
What it covers:
• Exporting YOLO11 to ONNX
• Setting up OpenCV DNN in Java
• Processing video files with real-time detection
• Running the whole pipeline end-to-end
Big thanks to Ultralytics for sharing pre-trained models!
Source code + tutorial: github
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