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Author: Akhil
2/09/19: Meeting Minutes:
- Progress report
    - Akhil,Rintaro:Face Recognition Baseline: Preprocessing Dataset, improving inference speed of RetinaFace
    - Pradeep: Research on GAN-Angle and MixUp
    - Kaushik: Multitask learning: Coding end-to-end face recognition network.
    - Sodoo: Embedding result based on different augmentation(darkening, brightening, blurring, angle)
    - Sajjad:  Classification result based on different augmentation(blurring, resizing, super resolution, super resolution with blur)
- Next step
    - Create an entire flow till final recognition model as blocks
    - Initially use the blocks as open source codes and calculate accuracies
    - The blocks will be replaced one by one with our trained model and compared with the initial accuracies
    - Check the final result with exawizard data
    - Make it closer to real life by testing using iPad and edge
    - Cross-validation
    - Schedule: 
        - sept:- Create a proper flow with dlib models
        - Oct:- Improve accuracy without considering speed of inference
        - Nov:- speedup model and implement on edge
![](https://i.imgur.com/NQ5bAh8.jpg)