1 रिपॉजिटरी
Awesome GitHub RepositoriesComponent Registries
Systems that map identifiers to model components to allow modular swapping of architectures.
Distinct from Deep Learning: Focuses on the architectural registry for swapping model components rather than general deep learning framework identity
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Awesome Component Registries GitHub Repositories
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- open-mmlab/mmtracking
open-mmlab/mmtracking
3,881GitHub पर देखेंmmtracking is a PyTorch video perception framework designed for training and deploying computer vision models that analyze sequential image data. It provides specialized tools for multi-object tracking, video instance segmentation, and a configuration-driven system for managing deep learning models. The project utilizes a deep learning model registry and a configuration-driven pipeline to swap model backbones and detectors without modifying the core codebase. This modular approach allows for the development of custom perception architectures by combining various components and configurations.
Implements a configuration-driven registry for swapping backbones and detectors without modifying core code.
Pythonmulti-object-trackingsingle-object-trackingtracking
