Go board detector used by Kaya to turn a photo of a goban into a position (SGF). Trained with moku. Kaya computes a homography from the 4 corners and snaps every stone onto the grid. - model.safetensors, config.json, preprocessorconfig.json: transformers checkpoint. - model.onnx: what Kaya runs (ONNX Runtime Web). Input pixelvalues (batch, 3, 640, 640), RGB scaled to [0, 1] with no mean/std normalization; outputs logits (batch, 300, 3) (apply a sigmoid) and predboxes (batch, 300, 4), normalized (cx, cy, w, h). With the corner head, a third output cornerpoints (batch, 8, 3) holds the 8 best board-corner peaks (x, y, score), x and y normalized to [0, 1] (class-agnostic). The stone-threshold…
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Kaya
kaya-go
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Models on Hugging Face5
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Published tasks: Object detection.
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