Command-line Tools

CLI tool for comparing images

CLI tool for comparing images Installation Install this tool using pip: Image diff To generate an image showing the difference between two images: image-diff first.jpg second.jpg -o diff.png Count differing pixels To count the number of pixels that have changed, use image-diff count: image-diff first.jpg second.jpg This will output a number followed by a newline. Compile an image The image-diff compile command exists mainly to make this tool easier to test. It can be used to compile an image from […]

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Sniper

A free sniper bot built to work with PancakeSwap: Router V2

PancakeSwap sniper bot. Automated sniping bot to snipe crypto coin launches. How it works The sniping bot can be used in three different cases: In a fair launch. the token address is announced just at the time of launch, usually via telegram or other social networks. Copy & Pasting quickly is crucial in order to be the first buyer and obtain the best price (hopefully close to listing price) before all the hype. However, using PancakeSwap is slow and doing […]

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Point Cloud

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation

Introduction PyTorch implementation for the paper ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation (CVPR 2022). Repository still under construction/refactoring. Installation Install Requirements $ cd ART-Point/ $ conda env create -f environment.yaml Download ModelNet40 and ShapeNet Parts We use two datasets: After downloading, you should convert the .txt dataset into numpy file (.npy). Then, you can use our code for training and evaluation.You can use the codes in “https://github.com/yanx27/Pointnet_Pointnet2_pytorch/tree/master/data_utils” for pre-pocessing. Pretraining Models We use the folloing […]

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Command-line Tools

All the knowledge of the astrophysics data system and the speed of the command line

An unofficial command line interface for the SAO/NASA Astrophysics Data System. Make queries from the command line as in the webbrowser: $ ads -q “author:^livingston year:2010-2022” Common query elements are implemented as short-hands such as -y|–year,-fa|–first-author, -a|–author: $ ads -fa jenkins -y 2020 Then fuzzy-search the results based on year, author, and title and open the selected article as PDF: Note that entries without open-access PDFs available are dimmed.See ads –help more information. A command-line fuzzy-finder: fzf, version 0.27 or […]

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Automation

Automatically email Macfolk their pending updates

Notifier is a Python Script to send emails to Mac users with pending updates (according to Jamf patchmanagement) using the Jamf API and SMTP! How it works Grab API username and password the JAMFREPORTUSER and JAMFREPORTPASS environment variables. Get a bearer token from the Jamf server. This is used for all further authentication. Gets a list of all Patch Management titles on the Jamf server For each Patch Management title, get a list of every version Record the first version […]

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Tool

Decompilation as a Service. Explore multiple decompilers and compare their output with minimal effort

Explore multiple decompilers and compare their output with minimal effort. Upload binary, get decompilation. Supported Decompilers angr Ghidra IDA Binary Ninja Note: For IDA and Binary Ninja, you must provide license and binaries. angr and Ghidra will be downloaded automatically. Components Each decompiler is a service that runs in its own container A frontend web service proxies requests to backend service Install You’ll need to add your proprietary packages in backend/*/private. Then just: COMPOSE_DOCKER_CLI_BUILD=1 DOCKER_BUILDKIT=1 docker compose build Run Point […]

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Data Visualization

A repository used to provide an introduction to dataviz in Python

This repository contains an introduction to dataviz in Python with a focus on browser based, interactive dataviz. Installation git clone https://github.com/MarcSkovMadsen/dataviz-in-python.git python -m venv .venv source .venv/Scripts/activate pip install -e .[all] Serve the presentation panel serve src/dataviz_in_python/presentation/*.py You can view the presentation at http://localhost:5006/introduction. GitHub View Github    

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Detection

Using YOLOv5 as detection on VIBE

VIBE is a classic 3D pose esitmation methods. But the original version is very slow no matter on detction tracking or rendering. In this branch new version, I make it re-born. The promote are: using YOLOv5 and DeepSort as tracking module, it’s faster and accurator; using realrender for rending, discard old and stupid pyrender; results: a video link: CPU实时的检测跟踪，同时跑3D姿态检测 – 金天的视频 – 知乎https://www.zhihu.com/zvideo/1483234969724538880 Check our YouTube videos below for more details. Paper Video Qualitative Results

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