Skip to content

Instantly share code, notes, and snippets.

import tensorflow as tf
from typing import Any, Union
import six
import math
import numpy as np
from skimage.transform import AffineTransform
from skimage import transform
import pprint
model = tf.keras.models.load_model("C:\\deepdanbooru-v3-20200101-sgd-e30\\model-resnet_custom_v3.h5")
import pprint
import tensorflow as tf
import keras
import tensorflow_hub as hub
import numpy as np
import PIL.Image as Image
model_url = "https://tfhub.dev/google/imagenet/nasnet_mobile/classification/4"
IMAGE_SHAPE = (224, 224)
classifier = tf.keras.Sequential([hub.KerasLayer(model_url, input_shape=IMAGE_SHAPE + (3,))])
article > div > div.css-1dbjc4n.r-16y2uox.r-1wbh5a2.r-1ny4l3l.r-1udh08x.r-1j3t67a > div > div.css-1dbjc4n.r-18u37iz > div.css-1dbjc4n.r-1iusvr4.r-16y2uox.r-1777fci.r-1mi0q7o > div:nth-child(2) > div:nth-child(2) > div > div > div > div > a > div > div.r-1p0dtai.r-1pi2tsx.r-1d2f490.r-u8s1d.r-ipm5af.r-13qz1uu > div > img{
position: static !important;
opacity: unset !important;
}
article > div > div.css-1dbjc4n.r-16y2uox.r-1wbh5a2.r-1ny4l3l.r-1udh08x.r-1j3t67a > div > div.css-1dbjc4n.r-18u37iz > div.css-1dbjc4n.r-1iusvr4.r-16y2uox.r-1777fci.r-1mi0q7o > div:nth-child(2) > div:nth-child(2) > div > div > div > div > a > div > div.r-1p0dtai.r-1pi2tsx.r-1d2f490.r-u8s1d.r-ipm5af.r-13qz1uu > div > div{
display: none !important;
}
article > div > div.css-1dbjc4n.r-16y2uox.r-1wbh5a2.r-1ny4l3l.r-1udh08x.r-1j3t67a > div > div.css-1dbjc4n.r-18u37iz > div.css-1dbjc4n.r-1iusvr4.r-16y2uox.r-1777fci.r-1mi0q7o > div:nth-child(2) > div:nth-child(2) > div > div > div > div > a > div > div.r-1p0dtai.r-1pi2tsx.r-1d2f4
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<title>8Ball Pool by Fred & Rui</title>
<link rel="stylesheet" href="./css/main.css">
<style>
import time
from io import BytesIO
import pyvips
from PIL import Image # Pillow-SIMD
def figure_size(ih, iw, oh, ow):
if oh / ih >= ow / oh:
return int(iw * (oh / ih)), oh
@fredgido
fredgido / app.py
Last active September 16, 2021 17:07
import uuid
from apscheduler.events import EVENT_JOB_EXECUTED, EVENT_JOB_ERROR
from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore
from flask import Flask
from flask_apscheduler import APScheduler
app = Flask(__name__)
@fredgido
fredgido / LITDAI.user.js
Last active October 2, 2022 13:41
Look Into The Deep ai
// ==UserScript==
// @name Look Into The Deep ai
// @namespace LITD
// @version 1.0
// @description ...
// @author made by fredgy-kun
// @match https://aibooru.online/uploads/*
// @match https://aibooru.online/posts/*
// @connect deepdanbooru.donmai.us
// @grant GM.xmlHttpRequest
import discord
from PIL import Image
import io
import json
import httpx
bot = discord.Bot()
@bot.slash_command()
@fredgido
fredgido / LITDIRT.user.js
Last active April 11, 2023 02:45
LITDIRT
// ==UserScript==
// @name I see cute girls online
// @namespace ISCG
// @version 0.000000001
// @description ...
// @author made by fredgy-kun
// @match https://*.aibooru.online/posts*
// @match https://*.aibooru.online/media_assets*
// @match https://*.aibooru.online/
// @exclude https://*.aibooru.online/posts/*
import time
from flask import Flask, jsonify
from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
from opentelemetry.instrumentation.flask import FlaskInstrumentor
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor