/
utils.py
executable file
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/
utils.py
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import os
import numpy as np
import pandas as pd
import imageio
import skimage.transform
def read_dataset(csvfile, directory):
df = pd.read_csv(csvfile)
df.image_name = [os.path.join(directory, name) for name in df.image_name.values]
images = []
for filename in df.image_name.values:
img = imageio.imread(filename)
images.append(img/255.0)
return np.array(images, dtype=np.float32), df
# def read_train_dataset():
# train = pd.read_csv("hw4_data/train.csv")
# train.image_name = [os.path.join("hw4_data/train/", name) for name in train.image_name.values]
# images = []
# for filename in train.image_name.values:
# img = imageio.imread(filename)
# images.append(img)
# return np.array(images, dtype=np.float32), train
# def read_test_dataset():
# test = pd.read_csv("hw4_data/test.csv")
# test.image_name = [os.path.join("hw4_data/test/", name) for name in test.image_name.values]
# images = []
# for filename in test.image_name.values:
# img = imageio.imread(filename)
# images.append(img)
# return np.array(images, dtype=np.float32), test