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from torchvision.utils import make_grid | |
from PIL import Image, ImageDraw, ImageFont | |
import numpy as np | |
import torch | |
def make_grid_(imgs, save_file, nrow=10, pad_value=1): | |
if isinstance(imgs, list): | |
if isinstance(imgs[0], Image.Image): | |
imgs = [torch.from_numpy(np.array(img)/255.) for img in imgs] | |
elif isinstance(imgs[0], np.ndarray): | |
imgs = [torch.from_numpy(img/255.) for img in imgs] | |
imgs = torch.stack(imgs, 0).permute(0, 3, 1, 2) | |
if isinstance(imgs, np.ndarray): | |
imgs = torch.from_numpy(imgs) | |
img_grid = make_grid(imgs, nrow=nrow, padding=2, pad_value=pad_value) | |
img_grid = img_grid.permute(1, 2, 0).numpy() | |
img_grid = (img_grid * 255).astype(np.uint8) | |
img_grid = Image.fromarray(img_grid) | |
img_grid.save(save_file) | |
def draw_caption(img, text, pos, size=100, color=(128, 128, 128)): | |
draw = ImageDraw.Draw(img) | |
# font = ImageFont.truetype(size= size) | |
font = ImageFont.load_default() | |
font = font.font_variant(size=size) | |
draw.text(pos, text, color, font=font) | |
return img |