To address these issues, this paper introduces an enhanced small object detection approach, called Small-Size Object Detection Algorithm Based on Improved YOLOv8 for UAV Imagery (SS-YOLOv8). Firstly, considering the difficulties and stringent real-time requirements in detecting small objects in UAV ...
To address these issues, this paper introduces an enhanced small object detection approach, called Small-Size Object Detection Algorithm Based on Improved YOLOv8 for UAV Imagery (SS-YOLOv8). Firstly, considering the difficulties and stringent real-time requirements in detecting small objects in UAV ...
Traditional edge detection devices struggle with limited memory and resources, making the YOLOv8 algorithm inefficient. This paper introduces a lightweight network model for detecting water surface litter. We enhance the CSP Bottleneck with a two-convolutions (C2f) module to improve image recognition ...
In this paper, we make improvements for YOLOv8 when deployed at the edge end where the model is too large, the processing speed is too slow, and the real-time effect is not good. To this end, this paper proposes a fast and lightweight SS-YOLOv8 algorithm. First, the WS-C2f module...
YOLOv8 目标检测基于先前 YOLO 版本的成功,引入了新功能和改进,进一步提升了性能和灵活性。 本课程在Windows上手把手演示YOLOv8(YOLOv8n和YOLOv8s)目标检测在Android(安卓)手机进行部署的过程。内容包括:安装软件环境、安装PyTorch,克隆和安装YOLOv8,导出onnx模型,onnx转换成NCNN文件,安装Android Studio,准备Android项...
YOLOv8 目标检测基于先前 YOLO 版本的成功,引入了新功能和改进,进一步提升了性能和灵活性。 本课程在Windows上手把手演示YOLOv8(YOLOv8n和YOLOv8s)目标检测在Android(安卓)手机进行部署的过程。内容包括:安装软件环境、安装PyTorch,克隆和安装YOLOv8,导出onnx模型,onnx转换成NCNN文件,安装Android Studio,准备Android项...
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目前为止yolov7算法在海思hi3519dv500.3516dv500下的移植已经说完了,后面开始讲 yolov8的移植。过程基本上是一样的,只是在训练和转换过程中会和yolov7有区别。 本章先说一下训练的部分。 1.库依赖 这里使用的python3.8.18 python安装参考 《SVP_NNN Python》 ...
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YOLOv8 may also be used directly in a Python environment, and accepts the same arguments as in the CLI example above: from ultralytics import YOLO # Load a model model = YOLO("yolov8n.yaml") # build a new model from scratch model = YOLO("yolov8n.pt") # load a pretrained model ...