You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository was archived by the owner on Sep 22, 2024. It is now read-only.
Web app powered by AI to detect cracks on surfaces.
How to run
Web version
Clic here to see the demo of crack-detector in action for images and video (<5 min).
Docker version
To downloand the image and run the contaider in detach mode, run the code below.
docker container run -p 8501:8501 --rm -d pablogod/crack-detector:latest
To shutdown the docker type this:
docker ps -aq # Check which id was assigned for the crack-detector instance
docker stop <weird id of crack-detector># Type the id
Local computer
Run this code locally on Linux based distros:
# Clone and install requirements
git clone https://github.com/DZDL/crack-detector
cd crack-detector
pip3 install -r requirementsDocker.txt
# Download the pretrained weights
gdown --id 12-iXK656aGUIWCtN9gb0Ko7qotyn9ZcI -O myapp/DeepSegmentor/checkpoints/deepcrack/latest_net_G.pth
# Run streamlit
streamlit run app.py
# Then a webapp will open, check console output.
Deploy docker on Heroku
Only maintainers of the repository can do this.
heroku login
docker ps
heroku container:login
heroku container:push web -a crack-detector
heroku container:release web -a crack-detector
@article{liu2019deepcrack,
title={DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation},
author={Liu, Yahui and Yao, Jian and Lu, Xiaohu and Xie, Renping and Li, Li},
journal={Neurocomputing},
volume={338},
pages={139--153},
year={2019},
doi={10.1016/j.neucom.2019.01.036}
}
@article{liu2019roadnet,
title={RoadNet: Learning to Comprehensively Analyze Road Networks in Complex Urban Scenes from High-Resolution Remotely Sensed Images},
author={Liu, Yahui and Yao, Jian and Lu, Xiaohu and Xia, Menghan and Wang, Xingbo and Liu, Yuan},
journal={IEEE Transactions on Geoscience and Remote Sensing},
volume={57},
number={4},
pages={2043--2056},
year={2019},
doi={10.1109/TGRS.2018.2870871}
}
About
Web app powered by AI to detect cracks on any surface. CHECK LICENSES!
