Granite is a lightweight, pre-trained MobileNet model for detected cracks on concrete walls, slabs, pavements and other stuctures made of concrete. This pre-trained model was created using transfer learning and has a validation accuracy of 99.95 %. The model was trained on the Concrete Crack Images for Classification from Medeley.
Scripts written and trained by Nikhil Raghavendra (@nikhilraghava).
- This repository
- Python 3.6.5
- TensorFlow 1.9.0
- NumPy 1.14.2
Clone or download this repository and execute the following command in the terminal with this repository being the current working directory.
python classify.py [path to image — relative to the script]- macOS 10.13.6
- macOS 10.14
Licensed under MIT License.