[Target detection] YOLOV8 practical entry (3) model training - コードワールド

[Target detection] YOLOV8 practical entry (3) model training

開発 2023-06-05 08:35:36 訪問数: null

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転載: blog.csdn.net/qq_43456016/article/details/130448115

[Target detection] YOLOV8 practical entry (3) model training

[Target detection] YOLOV8 practical entry (3) model training

Practical improvement of YOLOv8 | Replacement of the backbone network Backbone (3) lightweight model ShuffleNetV2

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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Practical improvement of YOLOv8 | Replacing the backbone network Backbone with the 2023 latest model LSKNet, rotating target detection SOTA

Video target detection yolo algorithm small model self-training model comparison (yolov5 yolov7 yolov8)

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[halcon deep learning] A library function determine_dl_model_detection_param in the data preparation process of target detection

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