Showing 10 of 10 projects
A graphical image annotation tool written in Python for computer vision tasks like segmentation and detection.
A PyTorch library providing 12+ semantic segmentation model architectures with 800+ pretrained convolutional and transformer-based encoders.
A curated list of semantic segmentation papers, code, datasets, and resources across various deep learning frameworks.
A hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras with modern features, loop closure, and dense reconstruction.
An open source Python library and framework for building computer vision models on satellite, aerial, and large imagery sets.
A C++ library for real-time metric-semantic SLAM, building semantically annotated 3D meshes from camera and IMU data.
An end-to-end Python pipeline for semantic segmentation of aerial and satellite imagery to extract features like buildings and roads.
A web-based labeling tool for creating semantic segmentation training data from 2D images and 3D point clouds.
An end-to-end deep learning system for reconstructing complete 3D scenes (geometry and semantics) from posed 2D images.
An efficient neural network for semantic segmentation of large-scale 3D point clouds using random sampling.
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