This repository aims to provide a skeleton for preparing your submission to the ICPR EndoTect 2020. For starters, we require that each submission to the speed task is delivered in the form of a Docker image. This Docker image should create the submission file described in the challenge description. If you are new to docker, a good place to start is the Get Started page of the official Docker documentation.
We thank you for your interest in this years EndoTect and wish you the best of luck.
To participate, we require you to build a Docker image of your submission which includes all required dependencies and can be run using the latest version of Docker. Please note that the data should not be included within the Docker image itself, as it will be injected by us. Assume that the test dataset will be located at /endotect. An example submission is included within this repository, where we show an example of a Keras based submission.
To test you submission, run the following bash command:
sudo docker run -v <test_set_location>:/endotect -a stdin -a stdout -a stderr <docker_id> > endotect_submission.txt The results should be a .txt file in the format of the example shown in the file example_endotect_submission.txt located within this repository.
To submit your Docker image, we recommend that you export it using the following bash command:
sudo docker save <docker_id> > endotect_image.tarThis command will produce a tar file of your Docker image which can easily be sent to one of the organizers of EndoTect 2020. Once the Docker image is exported, submit it to one of the following email addresses; steven@simula.no, michael@simula.no or paal@simula.no.
For any questions, feel free to contact steven@simula.no.