日萌社
人工智能AI：Keras PyTorch MXNet TensorFlow PaddlePaddle 深度学习实战（不定时更新）
# https://cs.nyu.edu/~roweis/data.html
import cv2
import numpy as np
from utils.data_generator import augment_data_to_dir
def generate_more_faces(img_path, save_path):
olive = cv2.imread(img_path)
data_gen = augment_data_to_dir()
if olive is None:
raise Exception("can not open the olivettifaces dataset file.")
for row in range(20):
for column in range(2):
img = olive[row * 57:(row + 1) * 57, column * 47:(column + 1) * 47]
img = np.expand_dims(img, 0)
data_gen(img=img, prefix=str(row), dir_path=save_path)
def split_to_dataset(img_path, save_path):
olive = cv2.imread(img_path)
if olive is None:
raise Exception("can not open the olivettifaces dataset file.")
for row in range(20):
for column in range(10):
img = olive[row * 57:(row + 1) * 57, column * 47:(column + 1) * 47]
cv2.imwrite(img=img, filename=save_path + "/" + str(row) + "_" + str(column) + ".jpg")
