This script will get a video from the directory 'trimmed' and generates video clips where there is only one face in it. The main file name is: alltogether.py

This script will get a video from a folder 'trimmed' and generates video clips where there is only one face (from one identity eg. Mohammad Reza Golzar) in it, it uses:

1. Open-CV (for manipulating videos and frame extraction),
2. RetinaFace (for face detection in frames),
3. scene detection (for detecting scenes and dividing them)

Install dependencies using pip3 install requirment.txt

Please manually make these directories

• trimmed
• scenesplitted
• output

We get a video and load it with cv2, then we extract all of the frames in it, checking for face exsistion will happen for every fps/2 in the video (eg for a 30 fps video we check every 15 frames). we divide clips here, then we run Scene Detection to make sure that in every scene there is one identity. After science detection we initial dividing phase to divide clips into unique scenes.

(to demonstrate this let's imagine an example, imagine a scence That Mr. Golzar was having a conversation with Sahar Ghoreyshi, the camera zoomed in on Mr. Golzar's face. We have a cut and then we have a zoomed scene on Ms.Ghoreyshi's face. our algorithm should divide this into 2 clips.)

The 30 min clip for this script will have a time of 20 minutes or less on a core i7 (4 x 4.0 ghz) cpu

need to manually make 'output' and 'scenesplitted' dirs for output videos and need to have a 'trimmed' directory to input videos all of them are in the script folder!

Thanks to Shenasa-ai.ir and Alireza Akhavanpour and Bahar Baradaran for their sincere contributions.

• add directories by script (not manual)
• fix creating extensive small sized unused clips
• add args for calling from terminal
• extract frames with FFMPEG instead of open cv
• enhance speed of algorithm
• fine tune scene detection
• over all enhancing