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Created 4 years ago
This code contains pre-processing steps done on CelebA dataset from Kaggle to prepare for multi-class facial attribute classification model.
Boiler Plate
%reload_ext autoreload
%autoreload 2
%matplotlib inlineimport pandas as pd
import numpy as np
import imutils
import glob
import cv2
import shutil
from tqdm import tqdm_notebook
import matplotlib.pyplot as plt
pd.set_option('display.max_columns', 500)
tqdm_notebook().pandas()HBox(children=(IntProgress(value=1, bar_style='info', max=1), HTML(value='')))