[인공지능] Detectron2 - Github

https://github.com/facebookresearch/detectron2

GitHub - facebookresearch/detectron2: Detectron2 is a platform for object detection, segmentation and other visual recognition t

 

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Detectron2 이란 ?

Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation algorithms. It is the successor of Detectron and maskrcnn-benchmark. It supports a number of computer vision research projects and production applications in Facebook.

 

Detectron2는 최첨단 탐지 및 분할 알고리즘을 제공하는 Facebook AI Research의 차세대 라이브러리입니다. 이것은 Detectron과 maskrcn-benchmark의 후속입니다. 페이스북에서 수많은 컴퓨터 비전 연구 프로젝트와 생산 애플리케이션을 지원합니다.

 

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Projects

• DensePose: Dense Human Pose Estimation In The Wild
• Scale-Aware Trident Networks for Object Detection
• TensorMask: A Foundation for Dense Object Segmentation
• Mesh R-CNN
• PointRend: Image Segmentation as Rendering
• Momentum Contrast for Unsupervised Visual Representation Learning
• DETR: End-to-End Object Detection with Transformers
• Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
• D2Go (Detectron2Go), an end-to-end production system for training and deployment for mobile platforms.
• Pointly-Supervised Instance Segmentation
• Unbiased Teacher for Semi-Supervised Object Detection
• Rethinking "Batch" in BatchNorm
• Per-Pixel Classification is Not All You Need for Semantic Segmentation
• Exploring Plain Vision Transformer Backbones for Object Detection
• MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

 

 

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Detectron2를 활용한 블로그(한국)

 

https://airsbigdata.tistory.com/208?category=896493 

[Object Detection] Colab에서 Detectron2으로 의류 인식하기