文件名称：alexnet代码matlab-CNN-for-Crack-Detection:CNN在使用Caffe进行裂纹检测中的应用
文件大小：5.19MB
文件格式：ZIP
更新时间：2024-06-15 09:55:55
系统开源
alexnet代码matlab CNN裂缝检测 CNN在使用Caffe进行裂纹检测中的应用 要求 Caffe-GPU in Windows system (with compiled MATLAB interface) MATLAB R2014a 内容 train/0/*: Folder for training images with cracks train/1/*: Folder for training images without cracks val/0/*: Folder for validation images with cracks val/1/*: Folder for validation images without cracks test/*: Folder for testing images and testing results train_leveldb: Folder for converted training set val_leveldb: Folder for converted validation set train.txt: labe
【文件预览】：
CNN-for-Crack-Detection-master
----mean_val.bat(114B)
----mean_train.bat(118B)
----val.txt(150B)
----convert_train_leveldb.bat(178B)
----train()
--------0()
--------1()
----train_label.m(491B)
----test()
--------00001.jpg(918KB)
--------00001_out.jpg(297KB)
----val_mean.binaryproto(768KB)
----log.txt(7.71MB)
----deploy.prototxt(4KB)
----solver.prototxt(247B)
----train.txt(300B)
----trained_models()
--------readme.txt(48B)
----val_leveldb()
--------LOG.old(47B)
--------000005.sst(1.88MB)
--------LOG(263B)
--------CURRENT(16B)
--------MANIFEST-000004(114B)
----val()
--------0()
--------1()
----train.bat(93B)
----train_mean.binaryproto(768KB)
----demo()
--------caffe_classification_part1.m(677B)
--------slide.m(1KB)
--------AlexNet_test.m(995B)
--------caffe_classification_part2.m(2KB)
----README.md(3KB)
----train_leveldb()
--------LOG.old(47B)
--------000005.sst(3.75MB)
--------LOG(263B)
--------CURRENT(16B)
--------MANIFEST-000004(115B)
----train_val.prototxt(5KB)
----val_label.m(487B)
----convert_val_leveldb.bat(172B)