# grad-cam.tensorflow

**Repository Path**: ztt222/grad-cam.tensorflow

## Basic Information

- **Project Name**: grad-cam.tensorflow
- **Description**: Implementation of Grad CAM in tensorflow
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-07-09
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# grad-cam.tensorflow
Implementation of Grad CAM in tensorflow

Gradient class activation maps are a visualization technique for deep learning networks.

The original paper: https://arxiv.org/pdf/1610.02391v1.pdf

The original torch implementation: https://github.com/ramprs/grad-cam

## Setup

Clone the repository
```sh
git clone https://github.com/Ankush96/grad-cam.tensorflow/
```
Download the VGG16 weights from https://www.cs.toronto.edu/~frossard/vgg16/vgg16_weights.npz

## Usage

```sh
python main.py --input laska.png --output laska_save.png --layer_name pool5
```

## Results

| Input | Output |
| ------|-----:|
| ![Original image][inp] | ![Original image + Visualization][out] |

[inp]: https://github.com/Ankush96/grad-cam.tensorflow/blob/master/laska.png
[out]: https://github.com/Ankush96/grad-cam.tensorflow/blob/master/laska_save.png

## Acknowledgement

Model weights (vgg16_weights.npz),  Class names (imagenet_classes.py) and example input (laska.png) were copied from this blog by Davi Frossard (https://www.cs.toronto.edu/~frossard/post/vgg16/). TensorFlow model of vgg (vgg16.py) was taken from the same blog but was modified a little. https://github.com/jacobgil/keras-grad-cam also provided key insights into understanding the algorithm.