CV Project

• Course: YearDraem School 2nd (Track CV)

• Project period: 21 Jul. ~ 5 Aug., 2022

• Team members & roles

  권오균(O. Kwon) : model search, code modify and apply, paper review, data search, flask web implementation, ppt production.

  홍승현(S. Hong) : flask web implementation(input page), data search, model search.

  김지혜(J. Kim) : team leader, flask web implementation(output page), ppt production, presentation, data search.

  권민경(M. Kwon) : ppt production, model search, data search, paper review.

  이진석(J. Lee) : model search, paper review, code modify support, flask web implementation support, meeting report.

• Stacks

  

  

  

  

Project topic

Missing Children Current Face Prediction

The reason we chose this topic

All the team members wanted to try the face detecting and CycleGAN series models, and while looking for a suitable model, we found Lifespan Age Transformation Synthesis (LATS) and decided to try it.

[LATS] https://github.com/royorel/Lifespan_Age_Transformation_Synthesis

Then, after thinking about how to use the model we found, We thought it would be good to predict the present state of the children who was lost, so we started this project.

Why using colab

The first plan was to implement a web service through flask in the local environment.

However, the computer we are using is an M1 imac, there is a compatibility issue with pytorch and it is difficult to use the GPU, so we decided to implement it through google colab. We used ngrok to run flask in colab.

Flask Web implement result

Presentation