LearnOpenCV
Learn OpenCV, PyTorch, Keras, Tensorflow with code, & tutorials
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Latest posts
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YOLO26 Depth Estimation: Metric Monocular Depth and What You Can Build With It
A hands-on tour of YOLO26 depth estimation: metric depth in meters from one image, with runnable code for distance, zones, blur, 3D, video and fine-tuning. The post YOLO26 Depth Estimation: Metric Monocular Depth and What You Can Build With It first appeared on LearnOpenCV .
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How to Master Qwen3.8-27B for Real Computer Vision Tasks
Run Qwen3.8-27B, an open vision-language model, on real computer vision tasks: detection, inspection, video, OCR and more, with runnable code. The post How to Master Qwen3.8-27B for Real Computer Vision Tasks first appeared on LearnOpenCV .
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Train RF-DETR for Instance Segmentation with GPT-6 Astra
Before a flight, I left Astra a short prompt and a signed-in Roboflow account. It collected Microduck media, produced annotations, trained two RF-DETR-Seg-M models, and returned held-out video comparisons. Here is what worked, what failed, and what the experiment measured. The…
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How 10x AI Engineers Train Models for Production: Lessons from PINTO’s Face Alignment Project
Learn a production model training playbook from PINTO's face alignment project: reframe the task, engineer data, enforce QA, distill, and deploy. The post How 10x AI Engineers Train Models for Production: Lessons from PINTO’s Face Alignment Project first appeared on LearnOpenCV .
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VGGT vs. VGGT-Ω (VGGT-Omega): A Complete Guide to Feed-Forward 3D Reconstruction
How VGGT and VGGT-Ω work, what changed, and real benchmark numbers, speed, GPU memory, depth, and scaling, from the same 4K video on an RTX 5090. The post VGGT vs. VGGT-Ω (VGGT-Omega): A Complete Guide to Feed-Forward 3D Reconstruction first appeared on LearnOpenCV .