Source code for torchvision.datasets.folder
def find_classes(dir):
classes = [d for d in os.listdir(dir) if os.path.isdir(os.path.join(dir, d))]
classes.sort()
class_to_idx = {classes[i]: i for i in range(len(classes))}
return classes, class_to_idx
def make_dataset(dir, class_to_idx):
images = []
dir = os.path.expanduser(dir)
for target in sorted(os.listdir(dir)):
d = os.path.join(dir, target)
if not os.path.isdir(d):
continue
for root, _, fnames in sorted(os.walk(d)):
for fname in sorted(fnames):
if is_image_file(fname):
path = os.path.join(root, fname)
item = (path, class_to_idx[target])
images.append(item)
return images
class ImageFolder(data.Dataset):
def __init__(self, root, transform=None, target_transform=None,
loader=default_loader):
classes, class_to_idx = find_classes(root)
imgs = make_dataset(root, class_to_idx)
.
.
.
def __getitem__(self, index):
path, target = self.imgs[index]
img = self.loader(path)
if self.transform is not None:
img = self.transform(img)
if self.target_transform is not None:
target = self.target_transform(target)
return img, target
解读 find_classes(dir):
test 文件夹下存在 1,2,13,4,05 这五个空文件夹
os.listdir() 用于返回指定的文件夹包含的文件或文件夹的名字的列表
os.path.isdir() 用于判断某一路径是否为目录
import os
dir='C:/Users/Dell/Desktop/test'
classes = [d for d in os.listdir(dir) if os.path.isdir(os.path.join(dir, d))] #列表
classes.sort()
class_to_idx = {classes[i]:i for i in [4,1,2,0,3]} #字典
print('classes: ', classes)
print('class_to_idx: ',class_to_idx)
输出结果:
classes: ['05', '1', '13', '2', '4']
class_to_idx: {'4': 4, '1': 1, '13': 2, '05': 0, '2': 3}
classes = [d for d in os.listdir(dir) if os.path.isdir(os.path.join(dir, d))]
等价于:
classes = []
for d in os.listdir(dir):
if os.path.isdir(os.path.join(dir, d)):
classes.append(d)