utils/data_utils.py

import os

from PIL import Image

IMG_EXTENSIONS = [
    ".jpg",
    ".JPG",
    ".jpeg",
    ".JPEG",
    ".png",
    ".PNG",
    ".ppm",
    ".PPM",
    ".bmp",
    ".BMP",
    ".tiff",
    ".tif"
]


def is_image_file(filename):
    return any(filename.endswith(extension) for extension in IMG_EXTENSIONS)


def tensor2im(var):
    # var shape: (3, H, W)
    var = var.cpu().detach().transpose(0, 2).transpose(0, 1).numpy()
    var = (var + 1) / 2
    var[var < 0] = 0
    var[var > 1] = 1
    var = var * 255
    return Image.fromarray(var.astype("uint8"))


def make_dataset(dir):
    images = []
    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):
                path = os.path.join(root, fname)
                fname = fname.split(".")[0]
                images.append((fname, path))
    return images