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| import csv | |
| import os | |
| from pathlib import Path | |
| import cv2 | |
| import numpy as np | |
| from PIL import Image | |
| import onnxruntime as ort | |
| from huggingface_hub import hf_hub_download |
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| import csv | |
| import glob | |
| import os | |
| from pathlib import Path | |
| import cv2 | |
| import numpy as np | |
| import torch | |
| from PIL import Image | |
| from tqdm import tqdm |
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| import os | |
| import sys | |
| import wget | |
| import zipfile | |
| import threading | |
| import re | |
| from time import sleep | |
| import shutil | |
| from huggingface_hub import HfApi, Repository, upload_file | |
| import gen_img |
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| #https://github.com/Kazuhito00/XDoG-OpenCV-Sample | |
| import os | |
| import cv2 | |
| import numpy as np | |
| def DoG_filter(image, kernel_size=0, sigma=1.0, k_sigma=2.0, gamma=1.5): | |
| g1 = cv2.GaussianBlur(image, (kernel_size, kernel_size), sigma) | |
| g2 = cv2.GaussianBlur(image, (kernel_size, kernel_size), sigma * k_sigma) | |
| return g1 - gamma * g2 |
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| import argparse | |
| import csv | |
| import glob | |
| import os | |
| from pathlib import Path | |
| import cv2 | |
| import numpy as np | |
| import torch | |
| from PIL import Image |
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