Datasets:
| import io | |
| import base64 | |
| import json | |
| from PIL import Image | |
| from fastapi import FastAPI, HTTPException | |
| from fastapi.middleware.cors import CORSMiddleware | |
| from pydantic import BaseModel | |
| import uvicorn | |
| import os | |
| for i in os.listdir('control_imgs'): | |
| if i.endswith('.png'): | |
| img_path = f'control_imgs/{i}' | |
| img = Image.open(img_path) | |
| w, h = img.width, img.height | |
| if w != 1024 or h != 1024: | |
| if w > h: | |
| new_w = 1024 | |
| new_h = max(1, int(round(h * 1024 / w))) | |
| else: | |
| new_h = 1024 | |
| new_w = max(1, int(round(w * 1024 / h))) | |
| img = img.resize((new_w, new_h), Image.Resampling.LANCZOS) | |
| new_img = Image.new('RGBA', (1024, 1024), (0, 0, 0, 0)) | |
| new_img.paste(img, ((1024 - new_w) // 2, (1024 - new_h) // 2)) | |
| img = new_img | |
| img.save(img_path) |