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S_NET

于 2019-06-06 发布
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下载积分: 1 下载次数: 3

代码说明:

说明:  2019最新的神经网络隐写分析网络,对空域频域均可(The newest neural network steganographic analysis network 2019 is applicable to both spatial and frequency domain)

文件列表:

S_NET\.idea\misc.xml, 314 , 2019-05-19
S_NET\.idea\modules.xml, 269 , 2019-05-19
S_NET\.idea\S_NET.iml, 464 , 2019-05-19
S_NET\.idea\workspace.xml, 18546 , 2019-05-30
S_NET\SRNet_Example.ipynb, 4460 , 2019-05-30
S_NET\tflib\generator.py, 3525 , 2019-05-19
S_NET\tflib\queues.py, 2258 , 2019-05-19
S_NET\tflib\SRNet.py, 5780 , 2018-10-01
S_NET\tflib\test.py, 2197 , 2019-05-19
S_NET\tflib\utils_multistep_lr.py, 11269 , 2019-05-19
S_NET\tflib\__pycache__\generator.cpython-36.pyc, 2869 , 2019-05-19
S_NET\tflib\__pycache__\queues.cpython-36.pyc, 3303 , 2019-05-19
S_NET\tflib\__pycache__\SRNet.cpython-36.pyc, 3198 , 2019-05-19
S_NET\tflib\__pycache__\utils_multistep_lr.cpython-36.pyc, 7913 , 2019-05-19
S_NET\.idea\inspectionProfiles, 0 , 2019-05-19
S_NET\tflib\__pycache__, 0 , 2019-05-19
S_NET\.idea, 0 , 2019-05-30
S_NET\tflib, 0 , 2019-05-19
S_NET, 0 , 2019-05-19

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    用于小位移和桥梁形变的测量,非常好的一个算法,对研究匹配的也有参考价值,QQ:526289(for small displacement and deformation of the bridge measurement, a very good algorithm, the study also match the reference value, QQ : 526289)
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