Submission deadline tomorrow – closes at 14:00 (ET) on September 1st ¶
By: cartucho on Aug. 31, 2022, 6:18 a.m.
Please send an email to email@example.com, containing the following information:
- Please send us a link to your docker image containing the latest version of SurgT_benchmarking configured to your algorithm. Make sure that the file src/evaluate.py is updated;
- Team members (names + email) - One submission per team;
- Please attach a summary to be used in the final joint publication:
- 1 paragraph describing the method with references (examples from VOT challenge)
- 1 paragraph describing the datasets used for training
- You will receive a confirmation email, so that you know that the submission has been received.
How to create a docker image?
- Download the
docker_submission/folder from the GitHub link: SurgT_challenge
- Create an environment requirements file
docker_submission/surg_t_requirements.txt, to specify the libraries you used
conda env export > surg_t_requirements.txt
pip freeze > surg_t_requirements.txt
line 60in the Dockerfile to upload your code to the docker image
Option 1: copy SurgTbenchmarking folder (containing your code) from your local computer to the docker image using:
COPY [path/to/your/SurgT_benchmarking] /home/newuser/surg_t/
Option 2: upload the SurgTbenchmarking folder (containing your code) on GitHub and use:
RUN git clone https://github.com/YOUR_GIT_USERNAME/SurgT_benchmarking.git /home/newuser/surg_t/
- Run the following commands to build Docker and test it is working:
- Compress docker image for uploading :
docker save -o surgt.tar surgt:latest
- Upload the docker image
.tarfile to any remote file storage of choice Google Drive, Box, DropBox...;
Last edited by: cartucho on Sept. 1, 2022, 2:34 p.m., edited 6 times in total.