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Beautiful moments systhesis

A project aims to retain all the beautiful pictures of you and your love ones by synthesizing a video.

Table of Contents

Team members

  • Tran Cong Thinh
  • Nguyen Hoang Phuc
  • Vu Thi Quynh Nga

General info

This project include four main modules:

  • Face detection
  • Face recognition
  • Face image quality assessment
  • Smile evaluation
  • Video synthesis

Input: an input image folder + an anchor image folder. Output: a video comprised of the most beautiful, happy moments in the input image folder. Link to our presentation.

Code structure

BeautyMomentSynthesis
├── SmileScore
│   └── smileScore.py
├── animations
│   ├── animations.py
│   └── make_video.py
├── face_reg
│   ├── detection.py  
│   └── read_video.py
├── flaskapp
│   ├── static
│   ├── templates
│   │   ├── index.html
│   ├── Beauty_Moment_Synthesis_API.ipynb // Python notebook for deploying the API in Google Colaboratory
│   ├── app.py
│   └── requirements.txt
├── misc
│   ├── extract_bbox.py
│   ├── log.py
│   ├── utils.py
│   └── visualize.py
├── model
│   └── model.py
├── README.md
├── config.py
├── SDD-FIQA.py
├── main.py
└── requirements.txt

Dataset needed structure :

BeautyMomentSynthesis
├── Input folder
│   ├── img_1.jpg
│   ├── img_2.jpeg
│   ├── img_3.JPG
│   ......
│
├── Anchor folder
│   ├── People 1
│        ├── img_1.jpg
│        ├── img_2.jpg
│        ├── img_3.jpg
│        ...........
│   ├── People 2
│        ├── img_1.jpg
│        ├── img_2.jpg
│        ├── img_3.jpg
│        .........
│     ........

Implement

  • Install requirements:
pip install -r requirements.txt
  • Use this command:
python main.py --anchor_dataset_path "path_to_anchor" --original_dataset_path "path_to_dataset" --output_path "path_to_output_vid.mp4" --auto_vid_params True --find_person "person_name1 person_name2" --number_of_images --log --visualization