tensorflow-cnn-finetune:使用TensorFlow对AlexNet,VGGNet和ResNet进行微调-源码

上传者: 42103128 | 上传时间: 2021-09-10 13:07:18 | 文件大小: 1.03MB | 文件类型: ZIP
张量流-cnn-finetune 这个仓库是关于使用TensorFlow对一些著名的卷积神经网络进行微调的。 ConvNets: 要求: Python 2.7或3.x Tensorflow 1.x(已通过1.15.1测试) OpenCV2(用于数据扩充) 数据集文件 您需要设置两个数据集文件以进行训练和验证。 格式必须如下所示: /absolute/path/to/image1.jpg class_index /absolute/path/to/image2.jpg class_index ... class_index必须从0开始。 可以在和找到样本数据集文件。 不要忘了通过--num_classes运行时,标志finetune.py脚本。 亚历克斯网 进入alexnet文件夹 cd alexnet 微调 如果您以前没有下载过砝码,请下载。 ./download_we

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