Coding Period Week 4(28th June- 5th July)

Meeting Minutes-:

• In the meeting, it was decided that the main task of this week is to test the flicker removal algorithm and see if it’s robust enough to handle frames that haven’t been anonymized by the FSGAN. We have a solid dataset from lab interviews, which includes videos with low light conditions on the subject’s faces. If the algorithm proves to be effective on this dataset, we can expect it to perform well on any video with similar or superior specifications.
• We also discussed about the next steps to take after testing. We identified two major areas for further development: voice anonymization and integrating the RHA into a webpage. Prof. Mark pointed out that making the RHA more accessible by integrating it into a user-friendly webpage should be a top priority. This is because many users of the RHA aren’t necessarily interested in coding or understanding the technical details behind it. Therefore, it’s crucial to provide a simplified interface that meets their needs and makes the process easier for them.

Progress-:

• Tested the flicker removal algorithm on the lab interview videos. Till now the flicker removal seems to work fine.
• For web integration, we can design frontend using HTML, CSS and JavaScript and backend using Flask.
  Although we have other options like Django and streamlit but using Flask seems a good option. Will discuss this in the upcoming meeting.