? Aruco Pose Estimator: Elevate Your Vision Projects!
?** Why Aruco Pose Estimator?

Real-Time Detection: Seamlessly detect ArUco markers in live video feeds. 3D Pose Estimation: Accurately estimate the orientation and position of markers. Comprehensive Metrics: Get real-time pitch, yaw, roll, and distance estimations.
Key Features:

Real-Time Detection: Detects ArUco markers instantly. 3D Pose Estimation: Provides precise orientation and position. Orientation Metrics: Calculates and displays pitch, yaw, and roll. Distance Measurement: Estimates marker distance from the camera.
? Real-Time Visualization:

✨ Join the Community!**Boost your computer vision projects with Aruco Pose Estimator.

Explore more on GitHub and don't forget to give us a star!**✅**** @MachineLearning_Programming

*? Bring Your Portraits to Life with LivePortrait AI! ?**? Introducing LivePortrait: The Ultimate Tool for Animated Portraits ?*

? Features:✨ One-Click Animation: Generate animated portraits effortlessly.
*? Keypoint Detection: Precise facial keypoint transformation.
*? Video Processing: Drive animations with video inputs.
? Model Integration: Seamlessly combines various advanced models.
? Template Creation:** Create consistent and repeatable motion templates.

*✨* Why LivePortrait?

User-Friendly: Intuitive design for easy use.
High-Quality Animations:** Realistic and captivating results.

*? Check it out on GitHub:LivePortrait AI GitHub Repository#Watch_the_magic_with_one_click*⭐️ Give us a star and join the revolution in portrait animation! ⭐️****✅**** @MachineLearning_Programming

? 3DGazeNet: Revolutionizing Gaze Estimation with Weak-Supervision! ?**

Key Features:
? Advanced Neural Network: Built on the robust U2-Net architecture. ? Comprehensive Utilities: Easy data loading, preprocessing, and augmentation. ? Seamless Integration:** Train, test, and visualize with simple commands.

Demo Visualization:Visualize the demo by configuring your video path in main.py and showcasing the power of 3DGazeNet.

Pretrained Weights:Quick start with our pretrained weights stored in the weights folder.

*?Source Code: https://github.com/Shohruh72/3DGazeNet
*?Read the Paper:** Access Here

#3DGazeNet #GazeEstimation #AI #DeepLearning #TechInnovation

Join us in pushing the boundaries of gaze estimation technology with 3DGazeNet!

Learn to deploy Gen Ai Models to production ?

**MLOps Masterclass

Productionizing Generative AI models, Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy**

Schedule:
May 25th (Sat) & 26th (Sun), 10AM to 3:30 PM

Register Now?****https://bit.ly/mlops-masterclass

*? Limited Seats Available!*

☎️ Contact:
Sarath Kumar
+918940876397 / +918778033930

India's Largest Free Webinar on LLMs especially focused on the recently released LLAMA-3 by Meta.

How do you use these models?
How can you create apps with them?

Join our free workshop on to learn how to use Llama 3 and create apps with it.

Register here: https://www.buildfastwithai.com/events/llama-3-deep-dive

You can connect with Founder;
https://www.linkedin.com/in/satvik-paramkusham/

This Event is especially designed for people interested in the field of AI, ML, GenAI & LLMs.

? Explore AI News with Us! ?

Looking for top-notch AI updates?
Don't miss out on our Telegram channel!
We offer daily insights into the latest advancements, research papers, and industry news.

? Join now: https://t.me/Artificial_Intelligence_Updates

Join our community of AI enthusiasts and stay ahead of the curve! ?✨

? **Discover 6DRepNet: The Ultimate Head Pose Estimation Model!

Features:
State-of-the-art accuracy
Comprehensive tools for training, testing, and *inference Easy setup with conda
* Supports multiple datasets

Watch the performance showcase on GitHub for future advancements.[Source Code] [Paper]join our community:
? @deeplearning_ai

EfficientViT - SAM:69x Faster SAM: Multi-Scale Linear Attention for High-Resolution Dense Prediction

1. Channel: @deeplearning_ai

2.Source Code: https://github.com/mit-han-lab/efficientvit

1. Paper: https://arxiv.org/abs/2402.05008

? FREE TRAINING: Master MLOps for ML deployment and operations on AWS, Azure, GCP & open-source tools! ?

? Join our FREE MLOps course demo and acquire essential skills for AI and data science across Multicloud ?

? Reserve your seat now:
https://bit.ly/mlops-webinar *? What you'll gain:*1️⃣ ML model deployment techniques on AWS, Azure, GCP & open source.
2️⃣ Efficient data management insights.
3️⃣ Explore the latest MLOps tools.
4️⃣ Real-time interaction with expert instructors.

? Limited spots available! Don't miss out!? Enroll now:
https://bit.ly/mlops-webinar? Share with fellow ML enthusiasts! ?*✨***