https://github.com/tsurumeso/chainer-desalinet

Chainer implementation of DeSaliNet
https://github.com/tsurumeso/chainer-desalinet

chainer cupy deconvnet desalinet

Last synced: 4 months ago
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Chainer implementation of DeSaliNet

• Host: GitHub
• URL: https://github.com/tsurumeso/chainer-desalinet
• Owner: tsurumeso
• License: mit
• Created: 2018-01-18T07:51:52.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2019-03-26T04:51:02.000Z (over 6 years ago)
• Last Synced: 2025-01-11T16:50:50.012Z (11 months ago)
• Topics: chainer, cupy, deconvnet, desalinet
• Language: Python
• Size: 521 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# chainer-desalinet

Chainer implementation of DeConvNet [1] and DeSaliNet [2].

These are the technics that visualize feature maps of each layers of convolutional networks.

Currently, this implementation supports VGGNet and AlexNet.

## Summary

||Input|conv5|fc8|

|:-:|:-:|:-:|:-:|

|DeConvNet|![](images/bird.png)|![](images/conv5_deconvnet.png)|![](images/fc8_deconvnet.png)|

|DeSaliNet|![](images/bird.png)|![](images/conv5_desalinet.png)|![](images/fc8_desalinet.png)|

## Requirements

- Chainer

- CuPy (for GPU support)

- OpenCV

## Usage

### DeConvNet

```

python run.py --input images/bird.png --arch alex --gpu 0

python run.py --input images/bird.png --arch vgg --gpu 0

```

### DeSaliNet

```

python run.py --input images/bird.png --arch alex --mask --gpu 0

python run.py --input images/bird.png --arch vgg --mask --gpu 0

```

## References

- [1] Matthew D. Zeiler and Rob Fergus, "Visualizing and Understanding Convolutional Networks",

https://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf

- [2] Aravindh Mahendran and Andrea Vedaldi, "Salient deconvolutional networks",

https://www.robots.ox.ac.uk/~vedaldi/assets/pubs/mahendran16salient.pdf