e90157e7f01c85e9ef22f9679f1a40bda0efb51f,src/utils/utils.py,,split_data,#,26

Before Change

        return imresize(image_array, size)

def split_data(ground_truth_data, training_ratio=.8, do_shuffle=False):
    ground_truth_keys = sorted(ground_truth_data.keys())
    if do_shuffle == True:
        shuffle(ground_truth_keys)
    num_train = int(round(training_ratio * len(ground_truth_keys)))
    train_keys = ground_truth_keys[:num_train]
    validation_keys = ground_truth_keys[num_train:]
    return train_keys, validation_keys

def display_image(image_array):
    image_array =  np.squeeze(image_array).astype("uint8")

After Change

    val_y = y[num_train_samples:]
    train_data = (train_x, train_y)
    val_data = (val_x, val_y)
    return train_data, val_data

Instances