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image_folder.py
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image_folder.py
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################################################################################
# Code from
# https://github.com/pytorch/vision/blob/master/torchvision/datasets/folder.py
# Modified the original code so that it also loads images from the current
# directory as well as the subdirectories
################################################################################
import torch.utils.data as data
from PIL import Image
import os
import os.path
IMG_EXTENSIONS = [
'.jpg', '.JPG', '.jpeg', '.JPEG',
'.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP',
]
NP_EXTENSIONS = ['.npy',]
def is_image_file(filename, mode='img'):
if(mode=='img'):
return any(filename.endswith(extension) for extension in IMG_EXTENSIONS)
elif(mode=='np'):
return any(filename.endswith(extension) for extension in NP_EXTENSIONS)
def make_dataset(dirs, mode='img'):
if(not isinstance(dirs,list)):
dirs = [dirs,]
images = []
for dir in dirs:
assert os.path.isdir(dir), '%s is not a valid directory' % dir
for root, _, fnames in sorted(os.walk(dir)):
for fname in fnames:
if is_image_file(fname, mode=mode):
path = os.path.join(root, fname)
images.append(path)
# print("Found %i images in %s"%(len(images),root))
return images
def default_loader(path):
return Image.open(path).convert('RGB')
class ImageFolder(data.Dataset):
def __init__(self, root, transform=None, return_paths=False,
loader=default_loader):
imgs = make_dataset(root)
if len(imgs) == 0:
raise(RuntimeError("Found 0 images in: " + root + "\n"
"Supported image extensions are: " + ",".join(IMG_EXTENSIONS)))
self.root = root
self.imgs = imgs
self.transform = transform
self.return_paths = return_paths
self.loader = loader
def __getitem__(self, index):
path = self.imgs[index]
img = self.loader(path)
if self.transform is not None:
img = self.transform(img)
if self.return_paths:
return img, path
else:
return img
def __len__(self):
return len(self.imgs)