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Awesome GitHub RepositoriesInference Configurations
Settings and parameters for controlling model inference execution.
Distinguishing note: Focuses on batch size and hardware resource allocation during inference.
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Awesome Inference Configurations GitHub Repositories
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- open-mmlab/mmdetection
open-mmlab/mmdetection
32,409View on GitHubThis project is a modular research toolkit designed for developing, training, and evaluating deep learning models for object detection, segmentation, and video instance tracking. It provides a flexible training engine that manages complex neural network execution, including distributed training, custom lifecycle hooks, and weight optimization. The framework is built around a hierarchical configuration system that allows users to define architectures, data pipelines, and training hyperparameters through composable, inheritable files. The project distinguishes itself through its highly modular
Configures batch sizes and data loader settings for efficient GPU inference.
Pythoncascade-rcnnconvnextdetr
