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tiny-yolov3

使用tiny——yolov3(keras)检测自己的数据集,三类目标

程序是根据github上yolov3修改的,所以大面积重复,使用tiny-yolo用法如下:

1、下载tiny-yolov3工程,打开yolo.docx文档,按照文档中的教程对自己的 图像集做标注,并生成一些必须的图像路径txt文件。

2、训练图像使用 tiny_train.py 训练后的权重文件会保存在logs下

3、对待测图像进行批量测试: yolo_test_batch.py 然后会在VOC/SegmentationClass生成检测后的结果

我的程序是在ubantu下跑的,当然改一下路径之类的就可以在windows下测试啦

有问题欢迎讨论,加微信

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