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[视频目标检测]:使用MEGA|DFF|FGFA训练自己的数据集

1.创建环境创建虚拟环境conda create --name MEGA -y python=3.7 source activate MEGA安装基础包conda install ipython pip pip install ninja yacs cython matplotlib tqdm opencv-python scipy export INSTALL_DIR=$PWD安装pyto...

  • jupiter
  • March 28, 2023
  • 1 comments

    • 快速使用mobiledets-yolov4

    1.下载项目git clone https://github.com/inacmor/mobiledets-yolov4-pytorch.git2.准备数...

  • jupiter
  • November 22, 2022
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    • NCNN部署yolov5s

    1.NCNN编译安装参考：Linux下如何安装ncnn2.模型转换(pt->onnx->ncnn)$\color{red}{此路不通，转出来的param文件中的Reshape的参数是错的}$2.1 pt模型转换onnx# pt-->onnx python export.py --weights yolov5s.pt --img 640 --batch 1#安装onnx-si...

  • jupiter
  • June 16, 2022
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    • 快速使用Yolov5_DeepSort_Pytorch

    1.项目地址https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch2.运行步骤2.1 clon...

  • jupiter
  • March 16, 2022
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    • 快速使用Mobilenet SSD进行训练VOC格式的数据集

    1.训练步骤STEP1:下载代码并配置环境下载代码git clone https://github.com/lufficc/SSD.git cd SSD修改requirements.txttorch==1.5 torchvision==0.5 yacs tqdm opencv-python vizer根据requirements.txt完成环境配置# Required packages: t...

  • jupiter
  • November 27, 2021
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    • 快速使用Yolov4-tiny训练VOC格式的数据集

    1.训练步骤STEP1:下载代码并配置环境git clone https://github.com/bubbliiiing/yolov4-tiny-pyt...

  • jupiter
  • November 24, 2021
  • No comments