End-to-End

End-to-end Point Cloud Correspondences with Transformers

This repository contains the source code for REGTR. REGTR utilizes multiple transformer attention layers to directly predict each downsampled point’s corresponding location in the other point cloud. Unlike typical correspondence-based registration algorithms, the predicted correspondences are clean and do not require an additional RANSAC step. This results in a fast, yet accurate registration. If you find this useful, please cite: @inproceedings{yew2022regtr, title={REGTR: End-to-end Point Cloud Correspondences with Transformers}, author={Yew, Zi Jian and Lee, Gim hee}, booktitle={CVPR}, year={2022}, } Dataset environment […]

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Dataset

Facestar dataset. High quality audio-visual recordings of human conversational speech

Description Existing audio-visual datasets for human speech are either captured in a clean, controlled environment but contain only a small amount of speech data without natural conversations, or are collected in-the-wild with unreliable audio quality, interfering sounds, low face resolution, and unreliable or occluded lip motion. The Facestar dataset aims to enable research on audio-visual modeling in a large-scale and high-quality setting. Core dataset features: 10 hours of high-quality audio-visual speech data audio recordings in a quiet environment at 16kHz […]

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Domain

Pytorch domain library for recommendation systems

Docs TorchRec is a PyTorch domain library built to provide common sparsity & parallelism primitives needed for large-scale recommender systems (RecSys). It allows authors to train models with large embedding tables sharded across many GPUs. TorchRec contains: Parallelism primitives that enable easy authoring of large, performant multi-device/multi-node models using hybrid data-parallelism/model-parallelism. The TorchRec sharder can shard embedding tables with different sharding strategies including data-parallel, table-wise, row-wise, table-wise-row-wise, and column-wise sharding. The TorchRec planner can automatically generate optimized sharding plans for […]

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Python

Python GUI Programming With Tkinter

Python has a lot of GUI frameworks, but Tkinter is the only framework that’s built into the Python standard library. Tkinter has several strengths. It’s cross-platform, so the same code works on Windows, macOS, and Linux. Visual elements are rendered using native operating system elements, so applications built with Tkinter look like they belong on the platform where they’re run. Although Tkinter is considered the de facto Python GUI framework, it’s not without criticism. One notable criticism is that GUIs […]

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Python

Using Python’s datetime Module

Python has several different modules to deal with dates and times. This course concentrates on the primary one, datetime. Dates and times are messy things! Shifts due to daylight savings time and time zones complicate any computing with dates and times. In this course, you’ll tackle that messiness and learn: How to use the datetime module What the zoneinfo module does and how to use it How to calculate the difference between two datetime objects    

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Python

Pagination for a User-Friendly Django App

Django has a Paginator class that comes built in and ready to use. Perhaps you have a project on the go, and you’d like to try out the pagination implementations in the following sections with your app as your base. No problem! However, if you want to follow the step-by-step code examples in this tutorial, then you can download the source code for the Django Python wiki project from the Real Python materials repository: This wiki project contains an app […]

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Camera

A privacy-focused, intelligent security camera system

A privacy-focused, intelligent security camera system. Features: Multi-camera support w/ minimal configuration. Supports USB cameras and the Raspberry Pi camera module. Motion detection that automatically saves videos and lets you view them in the web app. Encrypted in transit, both from the cameras to the server and the server to your browser. Self-Hosted Free and Open Source Example screenshots Setting up the server Docker: Clone this repository Generate SSL certificates: ./create-certs.sh. Alternatively, you may place your own certs in the […]

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Detection

A simple and extensible object detection evaluator in COCO style

Features Extensible user interfaces to deal with different data formats. Support customized evaluation breakdowns, e.g., object size in COCO, difficulty in KITTI, velocity and range in Waymo. Interface for general matching scores, e.g. 2D IoU, 3D rotated IoU, center distance. Support widely-used metrics like AP, AR and customized metrics like average regression errors, average IoUs, etc. Purely based on Python, easy to develop your customized metrics. Installation pip install treelib Clone this repo and run pip install . in the […]

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Scripts

POC script for Malware Hunting over the WWW

POC script for Malware Hunting over the WWW To start with Malware Hunting, execute: python3 ./lovac.py. The script will start looking for random domain names, download first page to ./lovac_download/ folder and parse interesting strings to the ./lovac_output/ folder. After the tool is done, you can analyze output files manually and run the antivirus scan on download folder. The tool will save current status of discovery process in ./lovac_discovered.txt and ./lovac_tried.txt files. Discover “co.rs” domains, with minimum length 2 and […]

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