lesliematlab代码-DSCNN_OCLBCP:DSCNN_OCLBCP
莱斯利·matlab代码野生眼周：双流CNN和OC-LBCP
介绍
这项工作为野外眼周的新型描述符OC-LBCP和双流CNN做出了贡献。
我们还提供以下代码：
OC-LBCP（请参阅）
野外眼周双流CNN的预训练模型（请参阅）
预训练模型
请从以下位置下载经过预先训练的模型，并确保您按照以下步骤设置我们的目录：
DSCNN_OCLBCP
├──
model_result
│
├──
mat
│
└──
save
└──
test_data
├──
descriptor
└──
rgb
兼容性
我们使用以下代码测试了代码：
神经网络
Ubuntu
OS
18.04
LTS和Anaconda3（Python
3.7）下的Tensorflow-GPU
1.13.1
Windows
10和Anaconda3（Python
3.7）下的Tensorflow-GPU
1.13.1
/
Tensorflow
1.13.1
OCLBCP
MATLAB
2018b和MATLAB
2019b
要求
数据集
有关数据集信息，请参阅我们的论文[1]。
数据集在中提供。
引文
如果您在研究工作中使用我们的模
文件下载
资源详情
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