文件名称：caffe-pretrained-feature-extraction
文件大小：139KB
文件格式：ZIP
更新时间：2024-06-20 13:24:07
Python
caffe预训练特征提取 进入目录 cd /path/to/caffe-pretrained-feature-extraction 下载AlexNet的预训练权重 $CAFFE_ROOT/scripts/download_model_binary.py $CAFFE_ROOT/models/bvlc_alexnet cp $CAFFE_ROOT/models/bvlc_alexnet/bvlc_alexnet.caffemodel ./alexnet.caffemodel $CAFFE_ROOT/data/ilsvrc12/get_ilsvrc_aux.sh cp $CAFFE_ROOT/data/ilsvrc12/imagenet_mean.binaryproto . python convert_to_imagenet_mean_npy.py 下载 VGG（16 层）的预训练权重
【文件预览】：
caffe-pretrained-feature-extraction-master
----googlenet_process_features.py(554B)
----test.txt(477KB)
----convert_to_imagenet_mean_npy.py(357B)
----example.py(2KB)
----README.md(2KB)
----alexnet_deploy.prototxt(3KB)
----train.txt(1.03MB)
----train_test_predict.py(2KB)
----vgg16_deploy.prototxt(5KB)
----googlenet_deploy.prototxt(35KB)
----feature_extract.py(3KB)