Computer Vision
Showing 9 of 261 projects
A curated list of resources for Document Understanding (DU), covering research, datasets, tools, and applications in Intelligent Document Processing.
A foundational PyTorch library for training deep learning models, serving as the core engine for the OpenMMLab ecosystem.
A desktop application for semi-automatic image annotation using OpenCV's watershed algorithm with manual brush refinement.
A deep learning framework for feature learning directly from point clouds using X-Conv operations, achieving state-of-the-art results in classification and segmentation.
An all-in-one framework for training state-of-the-art computer vision models, covering pretraining, fine-tuning, and distillation.
A MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications.
An open-source differentiable dense SLAM library for PyTorch, enabling gradient flow from map outputs to sensor inputs.
A pure PHP library for detecting and decoding QR codes without external extensions.
A fast, modular PyTorch reference implementation for training and evaluating semantic segmentation models.
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