DeepFaceLive
label-studio
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DeepFaceLive | label-studio | |
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55 | 49 | |
13,912 | 16,469 | |
- | 4.5% | |
8.4 | 9.8 | |
11 months ago | 2 days ago | |
Python | JavaScript | |
GNU General Public License v3.0 only | 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.
DeepFaceLive
- Virginia's Age Verification On Adult Websites Is Worse Than You Think
- How is the twitch trump biden debate stream made?
- DeepFaceLive: Real-time face swap for PC streaming or video calls
- Is it possible to sync a lip and facial expression animation with audio in real time?
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Val Kilmer Twitter Romance Scam
https://github.com/iperov/DeepFaceLive. This is the first result Google gives me. Rudimentary, but enough to possibly trick someone who isn't knowledgeable enough. Instead of a fully AI generated person, it is a digital face swap. Essentially, you are correct in that the technological leap towards making a fully interactive deep fake is likely far beyond current technological capabilities. Especially for a scammer. Digitally swapping a face sidesteps that technological limitation.
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Is there a way to do facial rigs on AI images?
A more lifelike deformer would be running a 'deepfake' layer over your face motion into your 2D character face, but so far I haven't tried it yet. Here is some example of a well known open source 'faceswapper' : https://github.com/iperov/DeepFaceLive
- DeepFaceLive issue #41: Stop Developing This Technology
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How to make a deep fake character for my youtube series
DeepFaceLive https://github.com/iperov/DeepFaceLive You have to create a celeb model first or download a publicly available model
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Correlation between advance of an AI and so-called safeguards?
"Advanced AI" is an expression that makes politicians and decision makers to go on a rampage. Don't get your hopes up, the way the world reacted to ChatGPT, Stable Diffusion and stuff like that already suggests all AIs will be pretty much government regulated eventually and people like Eugenia has no way to circumvent this. Add projects like https://github.com/iperov/DeepFaceLive into the mix and you can see the perfect storm brewing up already...
- Animate your stable diffusion portraits
label-studio
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First 15 Open Source Advent projects
14. LabelStudio by Human Signal | Github | tutorial
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.
- FLaNK Stack Weekly for 14 Aug 2023
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You Can't Have a Free Software AI Stack
Huh?
I wrote my own system for classifying a stream of texts in Python, I might Open Source it one of these days but I have to get it to the point where it is modular enough that I can customize it to do the particular things I want without subjecting people to my whims... I use it every day and I'm not afraid to demo it because it is rock solid.
My understanding is that my system would not be hard to adapt to work on images for certain kinds of tasks.
Pytorch is open source, Huggingface is open source. CUDA isn't. This is
https://labelstud.io/
and for annotating text spans there are so many open source tools
https://github.com/doccano/doccano
I worked for a company a few years back that built annotation tools for projects we sold to customers but never quite got to a polished general purpose annotator. Today there are an overwhelming number of companies in this space and products I never heard of, many of which are cloud based or paid. Looks like a gold rush to me.
- Label Studio: Open-Source Data Labeling Platform
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Best (quickest) way to annotate images for whole-image classification?
LabelStudio is free for single use. https://labelstud.io/
- Label Studio – Free multi-type data ML labeling and annotation tool
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Way to label yolov7 images fast
LabelStudio is pretty nice, and free & open source, but I have yet to try out their ML integration with a YOLO object detection model.
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image labeling online Tools
Label Studio is an open source data labeling tool that includes annotation functionality. It provides a simple user interface (UI) that lets you label various data types, including text, audio, time series data, videos, and images, and export the information to various model formats.
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Preprocessing data for CNN tips?
I’m fairly new to deep learning and learning as I got so sorry if this is very basic, but I’m working on a model for detecting invasive coconut rhinoceros beetles destroying palm trees using drone photography. The 1080p photos I’m given were taken 250ft AGL and were cropped into equal size smaller images with some having one or more palm trees and some having none. Im using I’m using labelStudio to generate the XML files that point to their jpg counterparts path.
What are some alternatives?
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]
Wav2Lip - This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
doccano - Open source annotation tool for machine learning practitioners.
libreddit - Private front-end for Reddit
awesome-data-labeling - A curated list of awesome data labeling tools
ColossalAI - Making large AI models cheaper, faster and more accessible
diffgram - The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
web2img - Bundle web files into a single image
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Lemmy - 🐀 A link aggregator and forum for the fediverse
labelbox-custom-labeling-apps - Explore example custom labeling apps built with Labelbox SDK