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Awesome GitHub RepositoriesReal-Time Instance Segmentation
Systems for real-time pixel-level masking of individual objects in video feeds.
Distinct from Real-Time Object Detection: Focuses on pixel-level masks for instances rather than just bounding-box detection in real-time
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Awesome Real-Time Instance Segmentation GitHub Repositories
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- dbolya/yolact
dbolya/yolact
5,231在 GitHub 上查看Yolact is a computer vision framework and real-time instance segmentation model. It utilizes a fully convolutional neural network to detect objects and generate pixel-level masks for images and video feeds. The system employs prototypical mask generation to create global mask prototypes that are linearly combined for instance-specific results. It incorporates deformable convolutional layers and deformable region-of-interest pooling to adapt spatial sampling to the irregular shapes of objects. The framework covers the full model development lifecycle, including training on custom datasets, ac
Detects and masks individual objects in images or video feeds in real-time using a fully convolutional network.
Python
