cvg/GeoCalib
A deep learning system for single-image camera calibration that estimates camera intrinsics and gravity direction.
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GeoCalib is a computer vision method that estimates camera parameters and gravity direction from a single image by combining deep learning with geometric optimization. The approach uses convolutional neural networks to extract scene features, which are then refined through geometric constraints to produce accurate calibration results. The repository includes inference code, evaluation tools, training scripts, and the OpenPano dataset for training.