Json

Simple Python script that dumps a Wikidot wiki forum into JSON structures

Script is partially based on 2stacks by bluesoul: https://github.com/scuttle/2stacks To dump a Wiki’s forum, edit config.py and put the required Wiki name (default — scp-wiki, which is the SCP EN community). If your forum is too large, you may edit threads parameter in config.py, however make sure you don’t overload Wikidot with requests — no one knows what that may result in. Then make sure you have the following Python packages: beautifulsoup4 Run python . to start dumping. Note: incremental […]

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Remove

Lets you remove all friends, leave GCs, and leave servers, in an instant

Lets you remove all friends, leave GCs, and leave servers, in an instant! You can also do each of them by themselves. First, you need to get python, at . Next you need to download the file, by hitting the “code” button and hitting “download ZIP” Unzip the folder. Once you are done, goto the address bar on your explorer window while in the anonymity folder. Type in “cmd” and hit enter. Type in “pip install requirements.txt” (without quotations). Once […]

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Github

42 Event notifier using 42API and Github Actions

42서울 Agenda에 새로운 이벤트가 등록되면 알려드립니다! 현재는 Github Issue로 등록되므로 상단 Issue 탭에서 확인하시거나 Watch -> Custom -> Issues 체크박스를 통해 알림을 받으실 수 있습니다. 나중에는 Slack, Discord, Telegram 등을 통해 알림을 받을 수 있도록 업데이트 할 예정입니다. GitHub View Github    

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Scripts

Minimal code and simple experiments to play with Denoising Diffusion Probabilistic Models (DDPMs)

All experiments have tensorboard visualizations for samples / train curves etc. To run the toy data experiments: python scripts/train_toy.py –dataset swissroll –save_path logs/swissroll To run the discrete mode collapse experiment: python scripts/train_mnist.py –save_path logs/mnist_3 –n_stack 3 This requires the pretrained mnist classifier: python scripts/train/mnist_classifier.py To run the CIFAR image generation experiment: python scripts/train_cifar.py –save_path logs/cifar To run the CelebA image generation experiments: python scripts/train_celeba.py –save_path logs/celeba GitHub

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Analysis

Static Code Analysis: a code comprehensive analysis platform

TCA, Tencent Cloud Code Analysis English | 简体中文 What is TCA Tencent Cloud Code Analysis (TCA for short, code-named CodeDog inside the company early) is a code comprehensive analysis platform, which includes three components: server, web and client. It supports the integration of common code analysis tools in the industry. Its main function is to ensure the code quality under agile iterations of multiple engineering projects, and Support the team to inherit the code culture. Code analysis is to analyze […]

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Calculator

Calculates the dates and times when the sun or moon is in a given position in the sky

I wrote this script after I was busy updating my article on chronolocation, which can be found here. It calculates the dates and times when the sun or moon is in a given position in the sky. It can be used during chronolocation tasks, to quickly find possible dates and times within a 15 minutes accuracy. For finding a more precise moment, one should use a tool like suncalc.org to find a closer match, or use the option –accurate. Installation […]

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Natural Language Processing

BDD-driven natural language automated testing framework, present by Trip Flight

行为驱动开发（Behavior-driven development，缩写BDD），是一种软件过程的思想或者方法，是一种敏捷软件开发的技术. Flybird是基于BDD模式的前端UI自动化测试框架,提供了一系列开箱即用的工具和完善的文档。 基于Behave，实现BDD中“自然语言测试用例文档”和“自动化测试代码”关联需要用到支持BDD工具。 基于Airtest，实现BDD中“测试用例能在自动化测试平台上执行”需要用到UI自动化测试框架。 特性 使用Flybird你能够完成大部分的手机端自动化操作，以下是一些帮助入门的特性描述： 基于BDD模式，类自然语言语法 支持自动化APP操作、表单提交、UI元素校验、键盘输入、Deeplink跳转等 默认支持英文、中文两种语言，支持更多语言扩展 插件式设计，支持用户自定义自动化扩展 提供cli脚手架，快速搭建项目 提供html报告 环境要求 python(3.7-3.9) nodejs(12+) 快速开始 1. 环境搭建 使用pip安装flybird框架，过程中会自动安装所需的 依赖包 在Mac/Linux系统下，需要手动赋予adb可执行权限 cd {your_python_path}/site-packages/airtest/core/android/static/adb/mac chmod +x adb cd {your_python_path}/site-packages/airtest/core/android/static/adb/linux chmod +x adb 使用脚手架创建项目 创建过程中会提示输入以下信息 项目名称 测试平台：Android / iOS 测试设备名称（ 可跳过，后续可在config中配置deviceId节点 ） webDriverAgent的BundleID（ 可跳过，ios设备连接使用，后续可在config中配置webDriverAgent节点 ） APP测试包名称（可跳过，默认为ctrip演示包，后续可在config中配置packageName节点） 为了帮助使用，项目创建时，会在test目录下生成演示features，后续可自行删除 2. 测试执行 请确保配置的测试设备能够正常连接 Android: 执行命令 adb devices , 检查设备列表中是否包含测试设备 iOS：以tidevice库举例，执行命令 tidevice list，检查设备列表中是否包含测试设备 Android设备连接 Q&A 请先安装手机对应品牌的官方驱动，确保能使用电脑对手机进行USB调试 确保已经打开了手机中的”开发者选项”，并且打开”开发者选项”内的”允许USB调试” 部分手机需要打开”允许模拟位置”、”允许通过USB安装应用” 关闭电脑上已经安装的手机助手软件，能避免绝大多数问题，请务必在任务管理器中手工结束手机助手进程 iOS设备连接 Q&A 请先准备一台macOS ，使用xcode部署 iOS-Tagent 成功后，能够在mac或windows机器上连接到iOS手机。请点击链接下载项目代码到本地进行部署。 mac 环境通过 Homebrew 安装iproxy brew install libimobiledevice windows 环境安装itunes 下载安装测试包 […]

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mosaic

Mosaic blur processing is applied to multiple faces appearing in the video

face_recognitionを使用して得られる顔座標は長方形であり、この座標をそのまま用いてぼかし処理を行った場合得られる画像は醜い。それに対してモザイクによってぼかし処理を行うと自然に見える。これを静止画だけでなく動画にも適用したい。同じ働きを持つものはORB-HD/defaceが既に存在する。defaceがcenterface.onnxを用いるのに比べこちらはdlibを使用する。これらは顔検出のみか顔認識まで行うかで使い分けすると良いと思う。 静止画の場合 face_recognitionのメソッドであるface_recognition.face_locationsの返り値は(top, right, bottom, left)の配列。 顔周りの長方形をぼかす original.png

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