https://github.com/insikk/Grad-CAM-tensorflow
tensorflow implementation of Grad-CAM (CNN visualization)
https://github.com/insikk/Grad-CAM-tensorflow
convolutional-neural-networks grad-cam gradcam machinelearning resnet tesnorflow vgg16 visualization
Last synced: 5 months ago
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tensorflow implementation of Grad-CAM (CNN visualization)
- Host: GitHub
- URL: https://github.com/insikk/Grad-CAM-tensorflow
- Owner: insikk
- Created: 2017-02-14T01:19:26.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-05-25T08:04:05.000Z (almost 7 years ago)
- Last Synced: 2024-02-15T10:31:40.937Z (about 1 year ago)
- Topics: convolutional-neural-networks, grad-cam, gradcam, machinelearning, resnet, tesnorflow, vgg16, visualization
- Language: Jupyter Notebook
- Size: 8.08 MB
- Stars: 304
- Watchers: 11
- Forks: 102
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- Awesome-explainable-AI - https://github.com/insikk/Grad-CAM-tensorflow - CAM-tensorflow?style=social) (Python Libraries(sort in alphabeta order) / Evaluation methods)
README
# Grad-CAM-tensorflow
**NOTE: There is another awesome visualization of CNN called [CNN-Fixations](https://github.com/val-iisc/cnn-fixations), which involvs only forward pass. Demo code is available for Caffe and Tensorflow ResNet, Vgg. Please check it out.**
This is tensorflow version of demo for Grad-CAM. I used ResNet-v1-101, ResNet-v1-50, and vgg16 for demo because this models are very popular CNN model.
However grad-cam can be used with any other CNN models. Just modify convolution layer in my demo code.
See [python notebook](https://github.com/insikk/Grad-CAM-tensorflow/blob/master/gradCAM_tensorflow_demo.ipynb) to see demo of this repository.
>To use VGG networks in this demo, the npy files for [VGG16 NPY](ftp://mi.eng.cam.ac.uk/pub/mttt2/models/vgg16.npy) has to be downloaded.
>To use ResNet-v1-50 or ResNet-v1-101, download weight from https://github.com/tensorflow/models/tree/master/research/slim
**Any Contributions are Welcome**
## [Origial Paper] Grad-CAM: Gradient-weighted Class Activation Mapping
**[Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization][7]**
Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra
[https://arxiv.org/abs/1610.02391][7]
# Requirements
* GPU Memory: 6GB or higher to run VGG16, and ResNet101 (You may able to run ResNet50 with less than 6GB)
# Setup
```
export PYTHONPATH=$PYTHONPATH:`pwd`/slim
```
## Acknowledgement
Thanks for the awesome machine learning commuity for providing many building blocks.
### GradCAM implementation in caffe
[https://github.com/ramprs/grad-cam](https://github.com/ramprs/grad-cam)
### VGG16 implementation in tensorflow
[https://github.com/machrisaa/tensorflow-vgg](https://github.com/machrisaa/tensorflow-vgg)
### GradCAM implementation in keras, tensorflow
[https://github.com/jacobgil/keras-grad-cam](https://github.com/jacobgil/keras-grad-cam)
[https://github.com/Ankush96/grad-cam.tensorflow](https://github.com/Ankush96/grad-cam.tensorflow)
### Guided relu in tensorflow
[https://gist.github.com/falcondai/561d5eec7fed9ebf48751d124a77b087](https://gist.github.com/falcondai/561d5eec7fed9ebf48751d124a77b087)
### Guided backpropagation in tensorflow
[https://github.com/Lasagne/Recipes/blob/master/examples/Saliency%20Maps%20and%20Guided%20Backpropagation.ipynb](https://github.com/Lasagne/Recipes/blob/master/examples/Saliency%20Maps%20and%20Guided%20Backpropagation.ipynb)
[7]: https://arxiv.org/abs/1610.02391