akulakov

import numpy as np, os, cv2
from keras.utils import to_categorical
from keras.models import load_model

#reads images from folder (images must be labeled 0.png, 1.png, etc...)
def read_from_folder(folder, pattern, image_number, stop):
    images = []
    while image_number < stop:
        path = folder + pattern + '/casc (' + str(image_number)+ ').png'
        import os; img_path = path; assert os.path.exists(img_path), img_path

akulakov

import numpy as np, os, cv2
from keras.utils import to_categorical
from keras.models import load_model

#reads images from folder (images must be labeled 0.png, 1.png, etc...)
def read_from_folder(folder, pattern, image_number, stop):
    images = []
    while image_number < stop:
        path = folder + pattern + '/casc (' + str(image_number-119)+ ').png'
        img = cv2.imread(path, 0)

akulakov

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console