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Frame_Extraction

Extracting Frames for Emotion recognition

For BAUM dataset

Important Note

After downloading all the zip files of BAUM dataset. Extract them all and then copy all the Subject folders into a single directory.

Functions

  1. extract_frames.py [-h] [-s source_path] [-d destination_path] [-n number_of_frames] : This function extracts frames from each video of all subject and store them in a separate folder for further use.

source_path: The path of directory where all subjects folder are stored.

destination_path: The path of directory where you want to store all extracted frames.

number_of_frames: The number of frames you want to extract from each video.

How to call:

python3 extract_frames.py -s "/home/legolas/BAUM_dataset" -d "/home/legolas/Extracted" -n 16

For help:

python3 extract_frames.py -h
  1. create_list.py [-h] [-s source_path] [-d destination_path] : This function creates a text file of all the frames extracted with their emotion.

source_path: The path of directory where all extracted frames are stored.

destination_path: The path of text file you are going to create.

How to call:

python3 create_list.py -s "/home/legolas/Extracted" -d "main.txt"

For help:

python3 create_list.py -h