-
Clone Repo
$ git clone https://github.com/viraja1/crack_detection.git -
Change directory
$ cd crack_detection -
Install Requirements
$ pip install -r requirements.txt -
Train Model
Skip this step if you want to use pretrained model
Tested with python 3.7
$ python models/model.py -
Run Server
$ python app.py -
Open http://127.0.0.1:8080 in browser and use the UI to test concrete crack detection
-
Try CURL requests
$ curl -X POST -F file=@data/train/crack/15000_1.jpg http://127.0.0.1:8080/predict {"prediction":"crack"}
- Dataset - Concrete Crack Images for Classification (https://data.mendeley.com/datasets/5y9wdsg2zt/1/)
- Deploy Keras Model with Flask as Web App (https://github.com/mtobeiyf/keras-flask-deploy-webapp)
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (https://www.coursera.org/learn/introduction-tensorflow)
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