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TRI-ML/packnet-sfm

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tri-ml.github.io/packnet-sfm↗

Packnet Sfm

TRI-ML Monocular Depth Estimation Repository

Features

  • Vision par ordinateur - Self-supervised monocular depth estimation.

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  • Computer Vision and Image Processing - Self-supervised monocular depth estimation.
  • 1,278 stars·245 forks·Python·MIT·4 vues

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    Questions fréquentes

    Que fait tri-ml/packnet-sfm ?

    TRI-ML Monocular Depth Estimation Repository

    Quelles sont les fonctionnalités principales de tri-ml/packnet-sfm ?

    Les fonctionnalités principales de tri-ml/packnet-sfm sont : Vision par ordinateur, Computer Vision and Image Processing.

    Quelles sont les alternatives open-source à tri-ml/packnet-sfm ?

    Les alternatives open-source à tri-ml/packnet-sfm incluent : 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…