You can easily train and test any algorithm just by
功能特性
- config["dataset"]="cifar10" will use 1000 images (100 images per class) as the query set, 5000 images( 500 images per class) as training set , the remaining 54,000 images are used as database.
- config["dataset"]="cifar10-2" will use 10000 images (1000 images per class) as the query set, 50000 images( 5000 images per class) as training set and database.
- model imagenet_64bits_0.8824931967229359.zip
- matplotlib demo
安装命令
dsh plugin add github:swuxyj/DeepHash-pytorch项目简介
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.


