1B_check_duplicate_face.py

# MIT License
#
# Copyright (c) 2020 Wirianto Widjaya
#
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# furnished to do so, subject to the following conditions:
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from  settings import faces, settings
from face_data_preparer import FaceDataPreparer
import argparse
from util import CommonUtil as cu
from face_common import FaceCommon as fc
from util import FaceUtil as fu

parser = argparse.ArgumentParser(description='Data Preparer Program for Face Recognition Thesis Project')
# general
parser.add_argument('--file_ext', default='.jpg', help='The image format')
parser.add_argument('--model-prefix', default='./models/model-r50-am-lfw/model', help='The model location prefix ')
parser.add_argument('--model-epoch', default=0, type=int, help='The model epoch')
parser.add_argument('--image-size', default='112,112', help='The face image size')
parser.add_argument('--image-path', default='./downloads', help='The image download paths')
parser.add_argument('--output-path', default='./faces', help='The image output  paths')
parser.add_argument('--model', default='./models/model-r50-am-lfw/model,0', help='path to load model.')
parser.add_argument('--gpu', default=-1, type=int, help='GPU ID')
args = parser.parse_args()

if __name__ == '__main__':
  args = fu.update_face_dir_args(settings, args)
  fdp = FaceDataPreparer(args)
  fdp.check_duplicate_faces(faces)