OpenSphere: A hyperspherical face recognition library based on PyTorch

  OpenSphere is a hyperspherical face recognition library based on PyTorch. See the project homepage. Introduction OpenSphere provides a consistent and unified training and evaluation framework for hyperspherical face recognition research. The framework decouples the loss function from the other varying components such as network architecture, optimizer, and data augmentation. It can fairly compare different loss functions in hyperspherical face recognition on popular benchmarks, serving as a transparaent platform to reproduce published results. Supported Projects SphereFace: Deep Hypersphere Embedding for […]

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Analysing and storing r/Place 2022 event

This project is live at place.thatguyalex.com. Running scraper locally Install Python and all dependencies from scraper.py imports (if you want to create a requirements.txt, please make a PR and i’ll merge it) Edit authparams.py with your reddit username and password, and then add an oauth app of type script Field AUTH_TOKEN can be left empty, it is used for manual overrides Run scraper.py Running website locally Pull requests and suggestions welcome GitHub View Github    

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Python REST APIs With FastAPI

Creating APIs, or application programming interfaces, is an important part of making your software accessible to a broad range of users. In this video course, you’ll learn the main concepts of FastAPI and how to use it to quickly create web APIs that implement best practices by default. By the end of it, you’ll be able to start creating production-ready web APIs, and you’ll have the understanding needed to go deeper and learn more for your specific use cases. In […]

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Data Utilities and Processing Generalized for All CDP Instances

Data Utilities and Processing Generalized for All CDP Instances Installation Stable Release: pip install cdp-data Development Head: pip install git+https://github.com/CouncilDataProject/cdp-data.git Documentation For full package documentation please visit councildataproject.github.io/cdp-data. Quickstart Development See CONTRIBUTING.md for information related to developing the code. MIT license GitHub View Github    

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HOVI: Creates Text-to-Speech messages from people’s face movement to help people who have difficulty communicating with one’s voice

Team Member: Kang Inyeong, Kim Yeonghyeon, Lee Seulbi, Park Jisoo from GDSC SeoulTech (2021.12.21-ing) 🌱 Index What is HOVI? What is HOVI’s SDGs? Who can be a HOVI’s user? Used Technology/Diagram How to use? Demo Video What is HOVI’s Vision? Who develop HOVI? 🌱 What is HOVI? HOVI means ‘Have Own Voice Intermidiator’. The application creates Text-to-Speech messages from people’s face movement to help people who have difficulty communicating with one’s voice. HOVI is used as follows : 1️⃣ Use […]

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Extract the ppt in the video

extract ppt from a video If The video content is included ppt, then this tool can extract the ppt from the video and export a pdf file. Or you can just transform video to pdf -,-. install # install from pypi pip install extract-video-ppt # or local python ./setup.py install # or local user python ./setup.py install –user useage

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A bot for the reddit r/place event 2022

This is a functional bot for the r/place 2022 event, supporting at the time of writing all (2) canvases. Based on code from https://github.com/goatgoose/PlaceBot and https://github.com/rdeepak2002/reddit-place-script-2022. Functionality does NOT use the reddit API Convert input image to be drawn to target configuration, ignores transparent pixels Supports multiple accounts Supports obtaining the target configuration from a server (or local file) to prevent outdated templates Supports multiple canvases (2 at the time of writing) Goes to sleep when only few mismatched pixels […]

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Pony fixer for r/place

Pixel place bot for Brony team at r/place 2022 How to run Install Python 3. Python 2 will NOT WORK. It MUST be Python 3. Install Git. This is required for you to be able to update the bot. Download the bot by using the git clone https://github.com/CloudburstSys/PonyPixel.git command Navigate to the downloaded file using cd PonyPixel Run pip install -r requirements.txt to download requirements Run python bot.py and sit back. How to update If the script detects that it’s […]

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Machine Translation and Multilinguality 03/2022

Here is a monthly summary of what I found most interesting on arXiv this month from machine translation and mutlilinguality. This month was the camera-ready deadline for ACL 2022, so many of the interesting papers are accepted to ACL. Overlapping BPE When training, BPE merges actually do not have to follow the simple objective of merging the most frequent token pair. In massively multilingual models, there is an imbalance between languages, and some of them got segmented almost down to […]

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