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YOLO-V3 implementation step by step using Tensorflow-Keras from scratch with Structure Detail Figure

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Teslaxhub/YOLO_V3_Tensorflow_Keras_from_scratch

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前言:

  • 本次利用Tensorflow-Keras实现YOLO-V3模型,目的是更为深入了解YOLO-V3模型的重要结构;
  • 重点研究了模型结构,在levio作图的基础上增加了各层的参数设置,将模型展示的更加清晰明了;
  • 实现了较为细节也很重要的非最大值抑制、loss函数、如何生成true label等;
  • 另外做了些测试:图像目标检测、视频实时目标检测测试;
  • 详细代码步骤见:https://github.com/Teslaxhub/YOLO_V3_Tensorflow_Keras_from_scratch   含测试样例;
  • 如有错误,欢迎指正。

Figure 1: YOLO V3 Structure Detail

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YOLO-V3 implementation step by step using Tensorflow-Keras from scratch with Structure Detail Figure

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