Boolean masks of the UBnormal Human-Related subset
The folders testing and validating contain the boolean masks for the test set and the validation set, respectively.
Within each folder, a hr_mask.npy is provided, which contains the masks of the clips concatenated by lexicographic order, i.e. in the same order as their names are listed in the folder.
The folders {testing, validating}/test_frame_mask contain the masks for each clip as separated Numpy files. Values within the masks are boolean such that
mask[i] = True if the frame should be kept
mask[i] = False otherwise
For each set, a stats.json file shows the total number of frames in the set, the number of discarded frames and the percentage of discarded frames; the same information is also reported for each clip.
To use the HR mask, add in the evaluation code the following:
import numpy as np
HR_UBNORMAL_MASK = np.load('data/UBnormal/hr_bool_masks/testing/hr_mask.npy')
if the clips in the evaluation are loaded and appear in the code in the same order as their names are sorted in the folder, otherwise
import numpy as np
# example for the clip 001_0100
HR_UBNORMAL_MASK_001_0100 = np.load('data/UBnormal/hr_bool_masks/testing/test_frame_mask/001_0100.npy')
for each clip.