Weekly Report

[2019-02-04] Learn TensorFlow and OpenCV. Use docker to set up environment. Set up Linux environment and using docker container to learn tensor flow, and prepare drivers for Nvidia graphics card.

[2019-02-11] Change to use Google API to build this project, learn how to use Google API

[2019-02-19] Continue learning Google API. Use Google API in command line

[2019-02-22] Use Django to build a simple website to show facial recognition.

[2019-02-25] Continue learning Django.

[2019-03-02] Add a family picture to do face detection which is displayed on the home page.(6 faces)

[2019-03-03] Install OpenCV environment on Mac, but there are still some problems.

[2019-03-03] Add auto-authentication in code which using google API.

[2019-03-04] Add OpenCV demo.

[2019-03-09] Rebuild virtual environment and solve above problems, encode 6 different film stars' photos as input of pre-trained

[2018-03-10] Develop the front side of the website page, and learn how to integrate Google API (youtube data API) with Django framework.

[2019-03-11] Midterm: Use deep learning to recognize film stars' face. Learn how to link static image with html.

[2019-03-18] No Class: Read paper (Deep Residual Learning for Image Recognition) to learn how this training method works.

[2019-03-25] Weekly reports: Train a model to detect my face.

[2019-04-01] Weekly reports: Train a model to detect my face.

[2019-04-08] Weekly reports: Integrate Google Vision API with Django.

[2019-04-15] Weekly reports: Show the demo in video. Try to integrate OpenCV project with Django.

[2019-04-22] Weekly reports: Integrate OpenCV facial recognition with Django.

• Latest Update:

[2019-05-06] Final: Show two demo on website (One uses API, The other one uses OpenCV).

• Plan: No Plan
• Future Work:

1. Calculate accuracy.

2. Make up website (May be).