classification-keras:这是各个主干网络分类模型的源码,可以用于训练自己的分类模型

上传者: 42116604 | 上传时间: 2021-05-29 13:16:45 | 文件大小: 865KB | 文件类型: ZIP
Classification:分类模型在Keras当中的实现 目录 所需环境 tensorflow-gpu==1.13.1 keras==2.1.5 文件下载 训练所需的预训练权重都可以在百度云下载。 链接: 提取码: 36sn 训练所用的示例猫狗数据集也可以在百度云下载。 链接: 提取码: hmmx 预测步骤 a、使用预训练权重 下载完库后解压,model_data已经存在一个训练好的猫狗模型mobilenet025_catvsdog.h5,运行predict.py,输入 img/cat.jpg b、使用自己训练的权重 按照训练步骤训练。 在classification.py文件里面,在如下部分修改model_path、classes_path、backbone和alpha使其对应训练好的文件;model_path对应logs文件夹下面的权值文件,classes_path是model

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