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Awesome GitHub RepositoriesBorder Feature Extraction
Extraction of features specifically from the boundaries of bounding boxes for refinement.
Distinct from Computer Vision Features: Distinct from general Computer Vision Features by focusing specifically on boundary/border sampling of RoIs.
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Awesome Border Feature Extraction GitHub Repositories
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- open-mmlab/mmcv
open-mmlab/mmcv
6,446Auf GitHub ansehenmmcv is a foundation library for computer vision based on PyTorch. It provides a comprehensive system for constructing convolutional neural networks, a toolkit for image and video preprocessing, and a collection of high-performance deep learning vision operators. The project is distinguished by its hardware-accelerated kernels for complex operations such as deformable convolutions and region pooling. It features a configuration-driven framework that allows for the dynamic instantiation of network layers and the registration of custom modules without modifying code. The library covers a broad
Samples and pools features along bounding box boundaries using bilinear interpolation to refine object detection.
Python
