The purpose of this project was to experiment with streamlit and docker for an image stitching experiment using OpenCV's newly added Stitcher class, which is based on methods proposed in David G. Lowe's paper.
The advanced demo of the capabilities of OpenCV sticher is explained here https://docs.opencv.org/4.x/d8/d19/tutorial_stitcher.html, a stitching(_detailed).py script is supplied under the Apache 2 License and old version under the 3-clause BSD license.
A streamlit web interface is build around the Opencv script, the web interface was started by Moemen https://github.com/Mo-637/image-stitching.git under MIT License
To follow though with this demo, please make sure that you have Git and Docker installed beforehand.
docker run -p8080:8080 --rm netpascal0123/image-stitching:latest
- Access the demo by visiting the following address in your preferred browser
http://0.0.0.0:8080/
- Build the docker image from source
git clone https://github.com/PascalNoisette/image-stitching.git
cd image-stitching
- Build the docker image
docker build -t 'stitcher:latest' .
- Run a container with the built image
docker container run -p 8080:8080 -d stitcher:latest
- Access the demo by visiting the following address in your preferred browser
http://0.0.0.0:8080/
If you prefer running the files in your workspace simply
- Install the prerequisites (Streamlit, OpenCV 3/4 and Numpy)
python3 -m pip install requirements.txt
- Run the web interface
cd demo
streamlit run gui.py