tori29umai0123

import csv
from pathlib import Path
import re
from sentence_transformers import SentenceTransformer
import faiss
from llama_cpp import Llama


import numpy as np

tori29umai0123

1girl,4114588
solo,3426446
highres,3008413
long_hair,2898315
commentary_request,2610959
breasts,2252741
looking_at_viewer,2017032
blush,1987494
smile,1847264
short_hair,1530601

tori29umai0123

import csv
from pathlib import Path
import re
from langchain_core.prompts import ChatPromptTemplate
from langchain.chains import create_retrieval_chain
from langchain.chains.combine_documents import create_stuff_documents_chain
from langchain_community.vectorstores import FAISS
from langchain_community.llms import LlamaCpp
from langchain.prompts import PromptTemplate
from langchain_core.documents import Document

tori29umai0123

import os
from concurrent.futures import ThreadPoolExecutor
from PIL import Image, ImageFilter

from PIL import Image, ImageFilter

def apply_blur_to_image(image_path, output_path, blur_radius):
    """指定された画像にブラー効果を適用し、指定されたパスに保存する"""
    try:
        image = Image.open(image_path)

tori29umai0123

#線画あり画像から、線画を取り除くスクリプト。線画を取り除きたい画像（image_dir）があれば動く。線画入力不要。

from PIL import Image, ImageFilter, ImageOps
from collections import defaultdict
from skimage import color as sk_color
from tqdm import tqdm
from skimage.color import deltaE_ciede2000, rgb2lab
import cv2
import numpy as np
import os

tori29umai0123

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

tori29umai0123

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

tori29umai0123

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

tori29umai0123

#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

tori29umai0123

import argparse
import csv
import glob
import os
from pathlib import Path

import cv2
import numpy as np
import torch
from PIL import Image