awesome-repositories.com
Blog
awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateAlternative open-sourceSoftware self-hostedBlogHartă site
ProiectDespreCum realizăm clasamentulPresăServer MCP
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
NVIDIA avatar

NVIDIA/semantic-segmentation

0
View on GitHub↗
1,823 stele·387 fork-uri·Python·BSD-3-Clause·3 vizualizări

Semantic Segmentation

Nvidia Semantic Segmentation monorepo

Features

  • Computer Vision - High-performance semantic segmentation models.
  • Computer Vision Models - Semantic segmentation via video propagation.
  • Robust Learning Frameworks - Improves semantic segmentation via label relaxation.
  • Segmentation - Listed in the “Segmentation” section of the The Incredible Pytorch awesome list.

Istoric stele

Graficul istoricului de stele pentru nvidia/semantic-segmentationGraficul istoricului de stele pentru nvidia/semantic-segmentation

Căutare AI

Explorează mai multe repository-uri excelente

Descrie ce ai nevoie în limbaj simplu — AI-ul sortează mii de proiecte open source selectate în funcție de relevanță.

Start searching with AI

Alternative open-source pentru Semantic Segmentation

Proiecte open-source similare, clasificate după numărul de funcționalități comune cu Semantic Segmentation.
  • facebookresearch/detectron2Avatar facebookresearch

    facebookresearch/detectron2

    34,548Vezi pe GitHub↗

    Detectron2 is a PyTorch computer vision framework and visual recognition platform designed for training and deploying models for object detection, image segmentation, and visual recognition. It provides a research-oriented environment for training complex vision models with multi-GPU acceleration. The project includes a specialized object detection library for identifying and locating multiple objects via bounding boxes, as well as an image segmentation toolkit for creating pixel-level masks through instance, semantic, and panoptic segmentation. Additionally, it features a human pose estimati

    Python
    Vezi pe GitHub↗34,548
  • bodokaiser/piwiseB

    bodokaiser/piwise

    0Vezi pe GitHub↗

    Pixel-wise segmentation on the VOC2012dataset dataset using pytorchpytorch.

    Vezi pe GitHub↗0
  • amdegroot/ssd.pytorchAvatar amdegroot

    amdegroot/ssd.pytorch

    5,224Vezi pe GitHub↗

    This is a PyTorch object detection framework that implements the Single Shot MultiBox Detector for identifying and localizing multiple objects within images and video. The project provides a neural network architecture designed for single-shot object detection, which predicts bounding boxes and class labels in one pass. The implementation includes a real-time object detector capable of processing live video streams to track and label objects across sequential frames. It also features a complete computer vision training pipeline for preparing image datasets and training model weights. The fra

    Pythoncomputer-visiondeep-learningimage-recognition
    Vezi pe GitHub↗5,224
  • 1adrianb/face-alignmentAvatar 1adrianb

    1adrianb/face-alignment

    7,518Vezi pe GitHub↗

    This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a facial landmark detector and reconstruction tool, utilizing deep learning to identify precise geometric points on human faces from image datasets. The library allows for the selection of specific detection backends to balance accuracy and processing speed. It supports the integration of precomputed bounding box files, which enables the system to bypass the initial detection phase and proceed directly to landmark extraction. The toolkit includes capabilities for batch image p

    Python
    Vezi pe GitHub↗7,518
Vezi toate cele 30 alternative pentru Semantic Segmentation→

Întrebări frecvente

Ce face nvidia/semantic-segmentation?

Nvidia Semantic Segmentation monorepo

Care sunt principalele funcționalități ale nvidia/semantic-segmentation?

Principalele funcționalități ale nvidia/semantic-segmentation sunt: Computer Vision, Computer Vision Models, Robust Learning Frameworks, Segmentation.

Care sunt câteva alternative open-source pentru nvidia/semantic-segmentation?

Alternativele open-source pentru nvidia/semantic-segmentation includ: bodokaiser/piwise — Pixel-wise segmentation on the [VOC2012][dataset] dataset using [pytorch][pytorch]. facebookresearch/detectron2 — Detectron2 is a PyTorch computer vision framework and visual recognition platform designed for training and deploying… catalyst-team/segmentation — Catalyst.Segmentation. achaiah/pywick — High-level batteries-included neural network training library for Pytorch. 1adrianb/face-alignment — This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a… amdegroot/ssd.pytorch — This is a PyTorch object detection framework that implements the Single Shot MultiBox Detector for identifying and…