CausalityExperiment/02_process_offset.py

# use the openface 2 to get the action units before this
# go to- valapil@hemera4:~/Programs/OpenFace$
# type- ./bin/FeatureExtraction -f "/home/valapil/Project/ForkCausal_Adithya/clipped_vid/pair_021/021S3o/021S3o.MTS_clipped.mp4"

# also get the offset values

import numpy as np
import os


AU = ["Person", "Case", "AU01", "AU02", "AU04", "AU05", "AU06", "AU07", "AU09","AU10","AU12","AU14","AU15","AU17","AU20","AU23",
      "AU25","AU26", "AU45"]
off = ["Case", "Start", "End", "Person"]

# folder where output csv files of OpenFace are stored
folder = '/home/valapil/Project/ForkCausal_Adithya/csv_files'
csv_files = [file for file in os.listdir(folder) if file.endswith('.csv')]

def loadOffset():
    """
    get offset values for video frames
    :param basepath: path to where offset.csv is at
    :return: dictionary with {identifier: offset}('002S1g': 7}
    """

    # opening the file where offset values are present
    with open(os.path.join('/home/valapil/Project/ForkCausal_Adithya/offset.csv'), 'r') as f:
        f.readline() # read header
        offset = {}
        for row in f:
            id, StartEnd, second, frame = row.split(' ')[0:4]
            if id not in offset:
                offset[id] = {}
            offset[id][StartEnd] = int(np.ceil(float(frame)))
        return offset


for file in csv_files:
    base_name, extension = os.path.splitext(file)
    new_name = base_name.split('.')[0]
    f1 = new_name[:-2]
    f2 = new_name[-1:]
    file_path = os.path.join(folder, file)

    offset = loadOffset()
    if new_name[-5] != '0':
        offset_file = np.hstack((new_name[:-3] + new_name[-1], offset[new_name]['start'], offset[new_name]['end'], new_name))
    else:
        offset_file = np.hstack((new_name[:-3] + new_name[-1], offset['0' + new_name]['start'], offset['0' + new_name]['end'], new_name))

    off = np.row_stack((off, offset_file))

# file where offset values are stored as npy format
np.save(f'/home/valapil/Project/ForkCausal_Adithya/offset_values.npy', off)