core
CompreFace
Our great sponsors
core | CompreFace | |
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122 | 28 | |
10,138 | 3,810 | |
0.4% | 6.0% | |
7.0 | 8.3 | |
21 days ago | 4 days ago | |
JavaScript | Java | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
core
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Storybook 8
Additionally, thank you to all our community launch partners across the frontend ecosystem for helping us bring Storybook 8 to the world! Thanks to Chromatic, Figma, ViteConf, Omlet, DivRiots, story.to.design, StackBlitz, UXpin, Nx, Mock Service Worker, Anima, Zeplin, zeroheight, kickstartDS, and Kendo UI.
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The 2024 Web Hosting Report
Replit is the category leader here, but other products in this space include: Glitch, Codesphere, StackBlitz. Coherence fits here as well, with our “Workspaces” Cloud IDE. We’re also the only option where the PaaS is replaced by an Internal Developer Platform.
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I made "TypeScript Swagger Editor", new type of Swagger UI writing TypeScript code in the browser
"TypeScript Swagger Editor" is a web-based TypeScript editor (of StackBlitz) for Swagger API specifications, with SDK (Software Development Kit) library generated by nestia. It generates SDK types, functions and mockup simulator by analyzing content of the input swagger.json file.
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Top Online IDE Websites in 2024 ⌨️
Instantly deploy sites with Firebase hosting and integrate seamlessly with GitHub repos. Stackblitz
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Struggling to Learn React Or Any JavaScript Framework? Here are 7 Mistakes Holding Back (And What To Do Instead) 💪🎉
Use online code editors such as Codesandbox or Stackblitz. They let you focus on writing code rather than dealing with local environment complexities.
- Do you need a good computer to learn how to code?
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Software development on a Chromebook
For a few years I have been aware of on-line development environments such as JSBin, JSFiddle and CodePen. They have spearheaded on-line development and more recently a new breed of on-line resources have become available including CodeSandbox, Stackblitz and Replit. You can even access your GitHub repos directly through an in-browser (web) version of MS Visual Studio Code by pressing the full-stop (try it in one of your own repos). Of course there are also cloud offerings from Amazon, Google, Microsoft, etc. but they require a little more configuration and setup than I was happy to incur. Finally, there are two relatively new offerings in this space in the form of GitPod and GitHub Codespaces. I have signed up but not yet explored what they have to offer.
- Codespaces but open-source, client-only, and unopinionated
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ref.current.clearValue() triggers an undefined useReducer() action
I doubt someone will take time of their life to set up your code locally, if you want help setup your example code on https://codesandbox.io/ or https://stackblitz.com/ or some other website and put link here.
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Lua: The Little Language That Could
> Wasm though seems like the likely general heir, and will have many different offerings for how to do that (Deno being one!).
I was recently blown away by some ideas that StackBlitz [0] apply based on WebContainers. The idea of a "server in the browser", they allow you to run Node-based environment like that via Wasm.
CompreFace
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Double-Take not getting enough events/images from Frigate?
# https://github.com/exadel-inc/CompreFace/blob/master/docs/Face-services-and-plugins.md)
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DeepStack (dead?) vs CompreFace (slow?)
I looked at Double Take (UI that lets you do the training of your face recondition easily) and found CompreFace as one of models they support. It looks like what I need but there is a catch... no OpenVino (intel CPUs AI accelerator) support. I really like my low power NVR setup and would like keep it that way. Running AI on CPU without acceleration is both power inefficient and much slower. I have a spare low end GPU but if dump it in the system the current AI acceleration brakes... (I know I can prob fix it but that is a rabbit hole I would prefer to avoid).
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self Hosted face recognition software
This has good UI and also good recognition: https://github.com/exadel-inc/CompreFace
- Do we have good, gpu accelerated, text-to-speech, speech-to-text, image/video-to-text face/object recognition that is open source and self-hosted ?
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need help installing a software in Ubuntus terminal
Not sure what exactly you think this software is going to help with but the install instructions are available here.
wget -q -O tmp.zip 'https://github.com/exadel-inc/CompreFace/releases/download/v1.1.0/CompreFace_1.1.0.zip' && unzip tmp.zip && rm tmp.zip
- Face comparison in Stable Diffusion
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hey guys which is the best tool for making facial recognition using single image in deep learning
If you are looking for open source stuff and are able to self-host it, maybe have a look at CompreFace.
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[P] Facial Recognition with AWS Rekognition or Azure Vision
For face recognition - CompreFace. Disclaimer - I created it, as an alternative you can use MachineBox, but it's not open source and has limits. Also, I think, you will use some software to control the system, e.g. Frigate or Home Assistant, I think this repository can be useful for you.
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Database for Face Recognition
If you have a really simple application, you can just save the encodings into the files. If not - it's better to use a database. SQL is ok. But for the best results, I would suggest using milvus.io, as it was created for saving vectors and finding the distances (I haven't tried it, though). If your final goal is not to learn face recognition basics, you can just use free ready to use solutions like CompreFace and Machinebox
What are some alternatives?
double-take - Unified UI and API for processing and training images for facial recognition.
frigate - NVR with realtime local object detection for IP cameras
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
Face Recognition - The world's simplest facial recognition api for Python and the command line
insightface - State-of-the-art 2D and 3D Face Analysis Project
librephotos - A self-hosted open source photo management service. This is the repository of the backend.
facenet - Face recognition using Tensorflow
homebridge - HomeKit support for the impatient.
Milvus - A cloud-native vector database, storage for next generation AI applications
react-native-camera - A Camera component for React Native. Also supports barcode scanning!
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
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