A!NADU Editor by 통통볼팀

데이터사이언스 기반 지능소프트웨어 전문 인재 양성 프로그램의 AI 팀프로젝트

computer vision team project - face object recognition & automatic mosaic processing

1. Mosaic processing is possible for all faces recognized in the video
2. the faces that have not been pretrained among the recognized faces are automatically mosaic-processed in real-time video
3. Mosaic can be manually processed by clicking the mouse in the video

• 0_final_front_face_train_1.py , 0_final_right_face_train_2.py , 0_final_left_face_train_3.py
  : By executing each file, the front and side faces are detected in the webcam and converted into learning data.

• 0_final_3.py
  : The detected face is trained in the model and the face is recognized in the video. The face that has not been trained in advance is mosaiced automatically.

• auto_blur_video.py
  : Mosaics everyone's faces in a given video. It also supports scene movement, pause and playback functions.

Pytorch, OpenCV and Ultra Fast Light Face Detector(https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB) has been used.

final performed example video directory contains example videos demonstrating project results. Some of the team members appear in the video.

final presentation file is a short document that announces the results in korean.