pytorch 43 uses 4 lines of code to implement TensorRT c++ deployment of yolov8 classification model, target detection model, and instance segmentation based on object-oriented thinking. - コードワールド

pytorch 43 uses 4 lines of code to implement TensorRT c++ deployment of yolov8 classification model, target detection model, and instance segmentation based on object-oriented thinking.

開発 2023-09-20 19:12:44 訪問数: null

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転載: blog.csdn.net/a486259/article/details/132892026

pytorch 43 uses 4 lines of code to implement TensorRT c++ deployment of yolov8 classification model, target detection model, and instance segmentation based on object-oriented thinking.

pytorch 43 uses 4 lines of code to implement TensorRT c++ deployment of yolov8 classification model, target detection model, and instance segmentation based on object-oriented thinking.

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