1、使用train_ssd.py训练模型,其中改的只有自己的检测类别, 图像和对应的xml文件(训练集和验证集分开)存放在VOCdevkit/VOC2007和VOC2012下, 再对epochs,batch_size等参数简单修改即可。
2、得到model后直接使用inference_ssd.py进行推理,只需改测试文件地址和一些简单阈值等参数的设置。
ssd keras for industrail detection
1、使用train_ssd.py训练模型,其中改的只有自己的检测类别, 图像和对应的xml文件(训练集和验证集分开)存放在VOCdevkit/VOC2007和VOC2012下, 再对epochs,batch_size等参数简单修改即可。
2、得到model后直接使用inference_ssd.py进行推理,只需改测试文件地址和一些简单阈值等参数的设置。
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