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Sg4Dylan / utorrent_autoban.py
Last active May 6, 2020 23:20
uTorrent 自动屏蔽迅雷
import re
import os
import json
import time
import base64
import requests
ipfilter_path = r'D:\Program Files (x86)\uTorrent\ipfilter.dat' # ipfilter.dat 路径
remote_url = 'http://127.0.0.1:23333/gui/' # uTorrent 使用的 WebUI 地址
username = b'admin' # WebUI 使用的用户名
@Sg4Dylan
Sg4Dylan / regnet.ipynb
Created May 8, 2020 01:14
RegNet 模型使用/导出ONNX - Colab 版本
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@Sg4Dylan
Sg4Dylan / convert_model.bat
Created May 8, 2020 01:24
优化 PyTorch 输出 ONNX 模型并转换为 NCNN 模型
@ECHO OFF & CD/D "%~dp0"
::save as CRLF/ANSI format
::usage: drag ONNX model to .bat to start processing
:start
IF "%~1"=="" GOTO :END
:proc
python -m onnxsim "%~nx1" "%~nx1.sim.onnx"
@Sg4Dylan
Sg4Dylan / vmaf_for_image.py
Created June 7, 2020 03:07
使用 VMAF 测量图片质量
import os
import shutil
from PIL import Image
def check_size(image_a, image_b):
global i_size
w_a, h_a = Image.open(image_a).size
w_b, h_b = Image.open(image_b).size
if w_a == w_b and h_a == h_b:
@Sg4Dylan
Sg4Dylan / dain_ncnn_vulkan_instance.ipynb
Last active September 8, 2020 04:20
dain-ncnn-vulkan@colaboratory
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@Sg4Dylan
Sg4Dylan / font_deobfs.ipynb
Created September 28, 2020 02:44
对抗字体反爬的深度学习实践
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@Sg4Dylan
Sg4Dylan / continual_learning_metric_calc.py
Created November 10, 2020 10:40
OpenLORIS 指标计算
import csv
'''
suit for lifelong-robotic-vision/OpenLORIS-Object 's csv format result
every line of csv contains accuracy of every task on test set after training a single task
'''
raw_result = []
with open('openloris.csv', newline='') as csvfile:
spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|')
@Sg4Dylan
Sg4Dylan / pixiv-file-rename.py
Last active November 13, 2020 13:53
给 Pixiv 下载的图片重命名
#!/usr/bin/env python
#coding:utf-8
# Author: Sg4Dylan --<sg4dylan#gmail.com>
# Created: 12/31/2018
# ==========================================
# Pixiv 图片重命名
# ==========================================
# 使用方法: 把待处理的「文件夹」拖放到脚本上
@Sg4Dylan
Sg4Dylan / opti.py
Last active November 24, 2020 06:50
Export ESRGAN model to ONNX format
import onnx
import onnxoptimizer as optimizer
onnxfile = 'ONNX_FILE_NAME'
onnx_model = onnx.load(f'{onnxfile}.onnx')
inputs = onnx_model.graph.input
name_to_input = {}
for input in inputs:
name_to_input[input.name] = input
@Sg4Dylan
Sg4Dylan / GoHFS-Exporter.user.js
Created October 18, 2020 04:08
配合 codeskyblue/gohttpserver 使用,aria2 直接下载目录并保持结构
// ==UserScript==
// @name GoHFS-Exporter
// @namespace http://tampermonkey.net/
// @version 2020.10.18(0.1)
// @description Export link from Go HFS to aria2
// @author SgDylan
// @match https://example.com/*
// ==/UserScript==
let downloadFileUrl = [];