facial-emotion-recognition
This repository demonstrates an end-to-end pipeline for real-time Facial emotion recognition application through full-stack development. The frontend is developed in react.js and the backend is developed in FastAPI. The emotion prediction model is built with Tensorflow Keras, and for real-time face detection with animation on the frontend, Tensorflow.js have been used. (by victor369basu)
brainchop
Brainchop: In-browser 3D MRI rendering and segmentation (by neuroneural)
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| facial-emotion-recognition | brainchop | |
|---|---|---|
| 1 | 16 | |
| 22 | 229 | |
| - | 6.6% | |
| 1.8 | 9.1 | |
| over 1 year ago | 17 days ago | |
| JavaScript | JavaScript | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
facial-emotion-recognition
Posts with mentions or reviews of facial-emotion-recognition.
We have used some of these posts to build our list of alternatives
and similar projects.
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[P]Realtime Facial Emotion Recognition
Github - https://github.com/victor369basu/facial-emotion-recognition
brainchop
Posts with mentions or reviews of brainchop.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-07.
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Release Radar • March 2024 Edition
We featured Brainchop back in the February 2023 Release Radar. Since then, Brainchop is back with a powerful model update. Brainchop is a 3D MRI rendering and segmentation tool for analysing and processing Magnetic Resonance Imaging (MRIs) of various brains. Using AI, the new version features three classes of models for processing and analysing images of brains. Here are the three new models:
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"[N]" Brainchop V1.4.0
Brainchop win TF Community Sportlight Award Github: https://github.com/neuroneural/brainchop
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Brainchop V1.4.0 is out: Rendering input in 3D and apply 3D image processing
You welcome, there is no backend with brainchop, but in-browser JS functions, please visit https://github.com/neuroneural/brainchop/tree/master/js/brainchop
- Brainchop v1.3.0: First in browser open source and free software for 3D brain segmentation. (Follow up)
- Brainchop: In-browser 3D MRI segmentation
- Brainchop: Volumetric Segmentation of brain 3D MRI images (Follow up)
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"[Project]" Brainchop: In Browser 3D Segmentation. Now 50 and 104 Brain Segmentations. (Follow up).
Live Demo: brainchop.org
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Brainchop: In Browser 3D Segmentation. And now more options with Pyodide. (Follow up).
We appreciate your ideas/feedback /comments by visit our discussion board and please spread a word about our work.
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Brainchop: In-browser deep learning framework for volumetric Segmentation
Live Demo: brainchop.org Brainchopis a client-side web-application for automatic segmentation of MRI volumes that brings automatic volumetric segmentation capability to neuroimaging by running a robustly pre-trained deep learning model. The app does not require technical sophistication from the user and is designed for locally and privately segmenting user’s T1 volumes. Results of the segmentation may be easily saved locally after the computation. An intuitive interactive interface that does not require any special training nor specific instruction to run enables access to a state of the art deep learning brain segmentation for anyone with a modern browser (e.g. Firefox, Chrome etc) and commonly available hardware. Additionally, we make implementation of brainchop freely available releasing its pure Javascript code as open-source.
Hi, and thanks for asking. currently we are planning to release a version with cortical structure of 50 labels within a week or so. We have also a subcortical one of 104 labels but we work on optimize it more to make it run with most browsers. Please keep tracking us, and feel free please to reach us out with your suggestion/feedback/question using Brainchop discussion board.
What are some alternatives?
When comparing facial-emotion-recognition and brainchop you can also consider the following projects:
thoth - Thoth: A domain-specific language (DSL) for multitier web development that compiles your code to a React client and Node.js server in human-readable Typescript code
three-js-games - 👾 The code for my Three.js game dev experiments on YouTube.
Contkt-2.o - Real time Communication between 2peers using Web Socket. Communication between two client using their username. Only when both peers are connected through website. Website doesn't save the message state and History
cornerstone - JavaScript library to display interactive medical images including but not limited to DICOM
ai-starter-kit - A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
dicomviewer - DICOM Viewer in Nextcloud
reactjs-crypto-api-dashboard - Create a cryptocurrency dashboard using ReactJS and the Coinbase API
three-js-tutorials - 🥉 The code for my Three.js tutorial series on YouTube.
Keras.js - Run Keras models in the browser, with GPU support using WebGL
wm-22-project - Full stack web app to visualize and forecast precipitations in Morocco 🌧️
les-chat-pern-gql - Real-time messenger with private, public & group chat. Made using PERN + GraphQL stack.
facial-emotion-recognition vs thoth
brainchop vs three-js-games
facial-emotion-recognition vs Contkt-2.o
brainchop vs cornerstone
facial-emotion-recognition vs ai-starter-kit
brainchop vs dicomviewer
facial-emotion-recognition vs reactjs-crypto-api-dashboard
brainchop vs three-js-tutorials
facial-emotion-recognition vs Keras.js
facial-emotion-recognition vs wm-22-project
facial-emotion-recognition vs les-chat-pern-gql