import sys sys.path.insert(0, '..') import os if os.getcwd().endswith('test'): os.chdir('..') import pathlib import shutil import pandas as pd import unittest from index_dfdc import main as index_dfdc_main from extract_faces import main as extract_faces_main class TestDFDC(unittest.TestCase): def test_1_index(self): df_out = 'test/data/dfdc_videos.pkl' if os.path.isfile(df_out): os.unlink(df_out) argv = ['--source', 'test/data/dfdc', '--videodataset', df_out] index_dfdc_main(argv) videos_df = pd.read_pickle(df_out) self.assertEqual(videos_df.shape, (6, 7)) self.assertEqual(videos_df[videos_df.frames > 0].shape, (6, 7)) def test_2_extract_faces(self): facesfolder_path = 'test/data/facecache/dfdc' faces_df_path = 'test/data/faces_df/dfdc_faces.pkl' checkpoint_path = 'test/data/tmp/dfdc' if os.path.isdir(facesfolder_path): shutil.rmtree(facesfolder_path) if os.path.isfile(faces_df_path): os.unlink(faces_df_path) if os.path.isdir(checkpoint_path): shutil.rmtree(checkpoint_path) fpv = 5 argv = ['--source', 'test/data/dfdc', '--facesfolder', facesfolder_path, '--videodf', 'test/data/dfdc_videos.pkl', '--facesdf', faces_df_path, '--checkpoint', checkpoint_path, '--fpv', str(fpv), # '--device', 'cpu' # TODO: remove this ] extract_faces_main(argv) self.assertEqual(len(list(pathlib.Path(facesfolder_path).joinpath('dfdc_train_part_0/awnfpubqmo.mp4') .glob('*.jpg'))), 5) self.assertEqual(len(list(pathlib.Path(facesfolder_path).joinpath('dfdc_train_part_0/brtujopkby.mp4') .glob('*.jpg'))), 5) self.assertEqual(len(list(pathlib.Path(facesfolder_path).joinpath('dfdc_train_part_1/vtfpbtmgfh.mp4') .glob('*.jpg'))), 5) self.assertEqual(len(list(pathlib.Path(facesfolder_path).joinpath('dfdc_train_part_1/zvqinhzeah.mp4') .glob('*.jpg'))), 5) self.assertEqual(len(list(pathlib.Path(facesfolder_path).joinpath('dfdc_train_part_10/widuwuoiur.mp4') .glob('*.jpg'))), 5) self.assertEqual(len(list(pathlib.Path(facesfolder_path).joinpath('dfdc_train_part_10/yhffcuhhjy.mp4') .glob('*.jpg'))), 5) faces_df = pd.read_pickle(faces_df_path) self.assertEqual(faces_df.shape, (30, 23))