Crack Detection Tools

This is a set of programs to find a cracks in surfaces using OpenCV. It also provides tools to prepare a dataset for further processing using deep learning techniques.

Application Breakdown

This is the breakdown of a project.

crack-detection-opencv
│   README.md
│  .gitignore
│   requirements.txt
│   utils.py
│   split_images.py
│   resize_images.py
│   crack_detection.py
│
└───input
│   │   ...
│   │
└───output
│   │   ...
│   │
└───line_segmentation_examples
    │   ...

Deployment

Lets walk through setting up your development environment and deploying this application on your local machine

1. Install Python, pip, and virtualenv

• Python
• pip
• Virtualenv

sudo apt-get install python3
sudo apt install python3-pip
sudo apt install python3-virtualenv

2. Clone this repo and CD into the projects directory

git clone https://github.com/hpcbg/crack-detection-opencv.git
cd crack-detection-opencv

3. Create and activate a virtualenv

virtualenv venv
source venv/bin/activate

4. Install packages

pip install -r requirements.txt

5. Run it

python3 resize_images.py -s 50 -i /input_folder -o /output_folder
python3 split_images.py -s 100 -i /input_folder -o /output_folder

python3 crack_detection.py