Metadata exploration

We start by importing the utility functions and classes from the utility scripts for data quality, plot utils, video utils, and face object detection. The following code block shows what we import from the utility scripts:

from data_quality_stats import missing_data, unique_values, most_frequent_values
from plot_style_utils import set_color_map, plot_count
from video_utils import display_image_from_video, display_images_from_video_list, play_video
from face_object_detection import CascadeObjectDetector, FaceObjectDetector
from face_detection_mtcnn import MTCNNFaceDetector

After we load the data files (the train and test samples), we are ready to start our analysis. The following code block checks the types of files in TRAIN_SAMPLE_FOLDER:

train_list = list(os.listdir(os.path.join(DATA_FOLDER, TRAIN_SAMPLE_FOLDER)))
ext_dict = []
for file in train_list:
    file_ext = file.split('.')[1]
    if (file_ext not in ext_dict):
        ext_dict...