Tagged: computer-vision
5 articles
Converting Custom Annotations to YOLO Keypoint Format My corner annotator outputs JSON. YOLO wants normalised bounding boxes with keypoints in a specific folder structure. Bridging the two formats. Read article Corner Annotation, Board Scraping, and Training YOLO No off-the-shelf model could find board corners reliably. I built a manual annotator, scraped training data, and trained a YOLO model on the results. Read article From Roboflow to SAM 3 on Rented GPUs Classical CV couldn't handle real-world Go board photos. I tried Roboflow, Meta's SAM 3, Ultralytics, Google Colab, and Vast.ai. Each solved one problem and introduced another. Read article CNN Regression on Rendered Meshes: What Improved It Getting a feature detector from terrible to useful: data leakage, camera projection, horizontal mirroring, memory management, and a second-layer MLP for 3D. Read article Detecting a Go Board with OpenCV and Hough Circles I'm building a system that reads a physical Go board from a photo. The first attempt used classical computer vision. It mostly worked. Read article