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MIT-SPARK avatar

MIT-SPARK/Kimera-Semantics

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Kimera Semantics

Real-Time 3D Semantic Reconstruction from 2D data

Features

  • Visión artificial - Real-time 3D semantic reconstruction from 2D data.

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  • Computer Vision and Image Processing - Real-time 3D semantic reconstruction.
  • 742 estrellas·150 forks·C++·BSD-2-Clause·1 vista

    Historial de estrellas

    Gráfico del historial de estrellas de mit-spark/kimera-semanticsGráfico del historial de estrellas de mit-spark/kimera-semantics

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    Ver las 30 alternativas a Kimera Semantics→

    Preguntas frecuentes

    ¿Qué hace mit-spark/kimera-semantics?

    Real-Time 3D Semantic Reconstruction from 2D data

    ¿Cuáles son las características principales de mit-spark/kimera-semantics?

    Las características principales de mit-spark/kimera-semantics son: Visión artificial, Computer Vision and Image Processing.

    ¿Qué alternativas de código abierto existen para mit-spark/kimera-semantics?

    Las alternativas de código abierto para mit-spark/kimera-semantics incluyen: alicevision/meshroom — Meshroom is a node-based photogrammetry software designed to transform collections of two-dimensional images into… dbolya/yolact — Yolact is a computer vision framework and real-time instance segmentation model. It utilizes a fully convolutional… aleju/imgaug — imgaug is a Python library for machine learning data augmentation and computer vision dataset expansion. It provides… alicevision/alicevision — 3D Computer Vision Framework. balavenkatesh3322/cv-pretrained-model — A collection of computer vision pre-trained models. ermig1979/simd — C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE…