'080480.jpg',
'039459.jpg',
'153323.jpg',
'011793.jpg',
'156817.jpg',
'121050.jpg',
'198603.jpg',
'041897.jpg',
'131899.jpg',
'048286.jpg',
'179577.jpg',
'024184.jpg',
'016530.jpg',
]
download.from_google_drive("0B7EVK8r0v71pZjFTYXZWM3FlRnM")
def center_crop(x, crop_h=128, crop_w=None, resize_w=64):
# crop the images to [crop_h,crop_w,3] then resize to [resize_h,resize_w,3]
if crop_w is None:
crop_w = crop_h # the width and height after cropped
h, w = x.shape[:2]
j = int(round((h - crop_h) / 2.)) + 15
i = int(round((w - crop_w) / 2.))
im = Image.fromarray(x[j:j + crop_h, i:i + crop_w])
return np.array(im.resize([resize_w, resize_w]))
archive = zipfile.ZipFile('img_align_celeba.zip', 'r')
from dataloader import *
from checkpointer import Checkpointer
from dlutils.pytorch import count_parameters
from dlutils import download
from defaults import get_cfg_defaults
from tqdm import tqdm
from PIL import Image
from matplotlib import pyplot as plt
import utils
dnnlib.tflib.init_tf()
download.from_google_drive('1CIDc9i070KQhHlkr4yIwoJC8xqrwjE0_',
directory="metrics")
def downscale(images):
if images.shape[2] > 256:
factor = images.shape[2] // 256
images = torch.reshape(images, [
-1, images.shape[1], images.shape[2] // factor, factor,
images.shape[3] // factor, factor
])
images = torch.mean(images, dim=(3, 5))
images = np.clip((images.cpu().numpy() + 1.0) * 127, 0,
255).astype(np.uint8)
return images
'080480.jpg',
'039459.jpg',
'153323.jpg',
'011793.jpg',
'156817.jpg',
'121050.jpg',
'198603.jpg',
'041897.jpg',
'131899.jpg',
'048286.jpg',
'179577.jpg',
'024184.jpg',
'016530.jpg',
]
download.from_google_drive("0B7EVK8r0v71pZjFTYXZWM3FlRnM", directory=directory)
def center_crop(x, crop_h=128, crop_w=None, resize_w=128):
# crop the images to [crop_h,crop_w,3] then resize to [resize_h,resize_w,3]
if crop_w is None:
crop_w = crop_h # the width and height after cropped
h, w = x.shape[:2]
j = int(round((h - crop_h) / 2.)) + 15
i = int(round((w - crop_w) / 2.))
return misc.imresize(x[j:j + crop_h, i:i + crop_w], [resize_w, resize_w])
archive = zipfile.ZipFile(os.path.join(directory, 'img_align_celeba.zip'), 'r')
names = archive.namelist()
