explainable-cnn
๐ฆ PyTorch based visualization package for generating layer-wise explanations for CNNs.
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- tiger_shark.jpeg
- 0-resnet18-gradcam-layer4-tiger_shark.png
- 0-resnet18-guided-tiger_shark.png
- 0-resnet18-guided_gradcam-layer4-tiger_shark.png
- cam_and_guided_compare.png
- explainable-cnn-output.png
- test_guided_gradcam.png
- .DS_Store
- architecture.png
- dog.jpg
- imagenet_class_labels.pkl
- synset_words.txt
- explainable_cnn_usage.ipynb
- __init__.py
- base_explainer.py
- cnn_explainer.py
- grad_cam.py
- __init__.py
- base_validator.py
- cnn_validator.py
- .DS_Store
- __init__.py
- base_explainer_test.py
- cnn_explainer_test.py
- conftest.py
- .all-contributorsrc
- .gitignore
- CONTRIBUTING.md
- LICENSE
- pyproject.toml
- README.md
- requirements.txt
- setup.py
# Installation Guide
1. Get the code
git clone https://github.com/ashutosh1919/explainable-cnn
Downloads the entire project code from GitHub to your computer.
cd explainable-cnn
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install explainable-cnn
Installs the package published on PyPI directly โ no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Python
EasyPrerequisites
pip install explainable-cnn
Installs the package published on PyPI directly โ no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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