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niessner avatar

niessner/Matterport

0
View on GitHub↗
1,224 stars·157 forks·C++·MIT·10 viewsniessner.github.io/Matterport↗

Matterport

The Matterport3D V1.0 dataset contains data captured throughout 90 properties with a Matterport Pro Camera.

Features

  • Computer Vision - Dataset and framework for learning from RGB-D indoor data.
  • Embodied Datasets - Large-scale 3D indoor dataset for navigation and perception.
  • Datasets - Provides large-scale RGB-D data for indoor environment learning.

Star history

Star history chart for niessner/matterportStar history chart for niessner/matterport

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Matterport

These projects share indexed features with Matterport. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • 6/stopwords-json6 avatar

    6/stopwords-json

    430View on GitHub↗

    Stopwords for various languages in JSON format. Per Wikipedia:

    JavaScript
    View on GitHub↗430
  • achaiah/pywickachaiah avatar

    achaiah/pywick

    400View on GitHub↗

    High-level batteries-included neural network training library for Pytorch

    Python
    View on GitHub↗400
  • ailab-cvc/yolo-worldAILab-CVC avatar

    AILab-CVC/YOLO-World

    6,425View on GitHub↗

    YOLO-World is a vision-language framework and open-vocabulary object detection model. It identifies objects in images and video based on free-form text prompts without requiring predefined category labels. The system enables the identification of arbitrary objects by fusing image features with text embeddings. It includes a specialized tool for automated image labeling, which generates bounding box annotations for custom datasets using text-based prompts. The project provides a deployment pipeline for converting models into quantized ONNX and TFLite formats, supporting real-time inference on

    Python
    View on GitHub↗6,425
  • 1adrianb/face-alignment1adrianb avatar

    1adrianb/face-alignment

    7,518View on 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
    View on GitHub↗7,518
Compare all 30 related projects→

Frequently asked questions

What does niessner/matterport do?

The Matterport3D V1.0 dataset contains data captured throughout 90 properties with a Matterport Pro Camera.

What are the main features of niessner/matterport?

The main features of niessner/matterport are: Computer Vision, Embodied Datasets, Datasets.

Which projects share features with niessner/matterport?

Projects with overlapping indexed features include: 6/stopwords-json — Stopwords for various languages in JSON format. Per Wikipedia:. achaiah/pywick — High-level batteries-included neural network training library for Pytorch. ailab-cvc/yolo-world — YOLO-World is a vision-language framework and open-vocabulary object detection model. It identifies objects in images… airctic/icevision. akngs/petitions — 청와대 국민청원 사이트의 만료된 청원 데이터 모음. 1adrianb/face-alignment — This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a…