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Awesome GitHub RepositoriesYOLOv1 Implementations
Specialized implementations of the original YOLOv1 architecture for hardware-accelerated inference.
Distinct from Object Detection: Distinct from Object Detection: focuses specifically on the YOLOv1 model implementation rather than general detection techniques.
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Awesome YOLOv1 Implementations GitHub Repositories
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- wang-xinyu/tensorrtx
wang-xinyu/tensorrtx
7,802Ver en GitHubtensorrtx is a computer vision inference engine and model implementation library designed for graphics processor acceleration. It provides a framework for optimizing deep learning models through a GPU inference optimizer, a deep learning model converter for transforming weights from frameworks like TensorFlow and PyTorch, and a custom plugin library to implement operations not natively supported by the TensorRT API. The project distinguishes itself through a comprehensive collection of pre-defined network implementations, ranging from various YOLO versions and DETR transformers for object det
Implements the YOLOv1 network architecture optimized for graphics processor acceleration.
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