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Buffer-Net

A deep-learning framework for detecting genus of bacteria was designed. It utilizes buffer and down sampling layers to extract the spatial-spectral features of hyperspectral microscopic images.

The description of each source code:

model:

Pretrained weights of the model were saved as .pth format. Since it was bigger than 25MB, we uploaded it at https://drive.google.com/file/d/123AYGNOAIKJTWLv6ugSbEZ4RwSK8nN3f/view?usp=sharing. And we suggested that the weight file should be placed in this directory.

BufferNet.py:

The architecture of BufferNet was implemented as a class bufferNet.

BufferNet_main.py:

In this file, loading data, training and testing networks were implemented. The function, plot_confusion_matrix, could be used to present the confusion matrix of classification.

requirements.txt:

The necessary packages were listed.

Contact:

Dr. Chenglong Tao: chengltao@126.com

Prof. Dr. Bingliang Hu: hbl@opt.ac.cn

Prof. Dr. Zhoufeng Zhang: zhangzhoufeng@opt.ac.cn

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