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fixed deprecated imread/resize from scipy, moved to imageio methods #177

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fixed deprecated imread/resize from scipy, moved to imageio methods #177

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6 changes: 3 additions & 3 deletions create_input_files.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,9 +3,9 @@
if __name__ == '__main__':
# Create input files (along with word map)
create_input_files(dataset='coco',
karpathy_json_path='../caption data/dataset_coco.json',
image_folder='/media/ssd/caption data/',
karpathy_json_path='./data_sets/dataset_coco.json',
image_folder='./data_sets/training/',
captions_per_image=5,
min_word_freq=5,
output_folder='/media/ssd/caption data/',
output_folder='./data_sets/output/',
max_len=50)
19 changes: 15 additions & 4 deletions utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,10 @@
import h5py
import json
import torch
from scipy.misc import imread, imresize
import numpy as np
# from scipy.misc import imread, imresize
import imageio
from PIL import Image
from tqdm import tqdm
from collections import Counter
from random import seed, choice, sample
Expand Down Expand Up @@ -110,13 +113,21 @@ def create_input_files(dataset, karpathy_json_path, image_folder, captions_per_i

# Sanity check
assert len(captions) == captions_per_image


# READ image
# print("Processing: %s" % (impaths[i]))

# Read images
img = imread(impaths[i])
img = imageio.imread(impaths[i])
# img = np.array(Image.open(impaths[i]))

if len(img.shape) == 2:
img = img[:, :, np.newaxis]
img = np.concatenate([img, img, img], axis=2)
img = imresize(img, (256, 256))

# img = img.resize(img, (256, 256))
newsize = (256, 256)
img = np.array(Image.fromarray(img).resize(newsize))
img = img.transpose(2, 0, 1)
assert img.shape == (3, 256, 256)
assert np.max(img) <= 255
Expand Down