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π LiteHPE: Revolutionize Your Head Pose Estimation!
π― Why LiteHPE?
6D Rotation Matrix Representation: Achieve unparalleled accuracy.
High Performance: Optimized for efficiency.
Easy Integration: Seamlessly integrate with your projects.
Customizability: Tailor it to your needs.
π½ Inference at Your Fingertips:
Easily visualize results with demo configuration.
β¨ Join the Stars!
Transform your projects with LiteHPE and be part of the revolution in head pose estimation. βοΈβοΈβοΈβοΈβοΈ
Check it out on GitHub and give it a star! π
β @deeplearning_ai
π― Why LiteHPE?
6D Rotation Matrix Representation: Achieve unparalleled accuracy.
High Performance: Optimized for efficiency.
Easy Integration: Seamlessly integrate with your projects.
Customizability: Tailor it to your needs.
π½ Inference at Your Fingertips:
Easily visualize results with demo configuration.
β¨ Join the Stars!
Transform your projects with LiteHPE and be part of the revolution in head pose estimation. βοΈβοΈβοΈβοΈβοΈ
Check it out on GitHub and give it a star! π
β @deeplearning_ai
π Unlock Your Potential with Free Online Courses! π
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Grounding Image Matching in 3D with MASt3R
π»Source Code: Explore on GitHub
π»Project Page: Discover More
πRead the Paper: Access Here
β https://www.tgoop.com/deeplearning_ai
π»Source Code: Explore on GitHub
π»Project Page: Discover More
πRead the Paper: Access Here
β https://www.tgoop.com/deeplearning_ai
01_Dribbling_Carousel-02.gif
29.5 MB
π Introducing SAM 2: Segment Anything in Images and Videos! π₯β¨
π§ Key Features:
* Real-time video processing with streaming memory.
* Largest video segmentation dataset (SA-V) for top performance.
* Interactive user feedback for continuous improvement.
π Discover More:
* Source Code: GitHub
* Project Page: Meta AI SAM 2
* Demo: Try it here
* Paper: Read the paper
β https://www.tgoop.com/deeplearning_ai
π§ Key Features:
* Real-time video processing with streaming memory.
* Largest video segmentation dataset (SA-V) for top performance.
* Interactive user feedback for continuous improvement.
π Discover More:
* Source Code: GitHub
* Project Page: Meta AI SAM 2
* Demo: Try it here
* Paper: Read the paper
β https://www.tgoop.com/deeplearning_ai
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Explore Live Portrait Monitor, a cutting-edge tool based on the paper LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control.
π Improved Inference Speed:
One-click run Windows package available, supporting TensorRT.
π Key Features:
* Real-Time Animation: Efficient portrait animation with stitching and retargeting control.
* Webcam and Monitor Support: Easily switch between webcam and monitor input for diverse applications.
* Windows Package: One-click run without installation, supporting TensorRT for faster inference.
* Customizable Settings: Adjust padding for optimal head alignment in driver video.
* Pretrained Models: Download and utilize pretrained weights for quick setup and high-quality results.
π Resources:
GitHub Repo: Webcam Live Portrait
π Improved Inference Speed:
One-click run Windows package available, supporting TensorRT.
π Key Features:
* Real-Time Animation: Efficient portrait animation with stitching and retargeting control.
* Webcam and Monitor Support: Easily switch between webcam and monitor input for diverse applications.
* Windows Package: One-click run without installation, supporting TensorRT for faster inference.
* Customizable Settings: Adjust padding for optimal head alignment in driver video.
* Pretrained Models: Download and utilize pretrained weights for quick setup and high-quality results.
π Resources:
GitHub Repo: Webcam Live Portrait
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π Elevate Your Computer Vision Projects with YOLOv5 and PyTorch!π
π Why YOLOv5?
High Accuracy: Achieve top-tier results with minimal parameters.
Speed: Optimized for both training and inference, making it ideal for real-time applications.
π§ Installation Made Easy
π Results & Pretrained Checkpoints
π Demo
Check out the demo and additional resources to see YOLOv5 in action!
β Star Us on GitHub!
If you find this repository useful, don't forget to give us a β on GitHub! Your support helps us improve and add more features.
Source code: https://github.com/Shohruh72/YOLOv5
β https://www.tgoop.com/deeplearning_ai
π Why YOLOv5?
High Accuracy: Achieve top-tier results with minimal parameters.
Speed: Optimized for both training and inference, making it ideal for real-time applications.
π§ Installation Made Easy
π Results & Pretrained Checkpoints
π Demo
Check out the demo and additional resources to see YOLOv5 in action!
β Star Us on GitHub!
If you find this repository useful, don't forget to give us a β on GitHub! Your support helps us improve and add more features.
Source code: https://github.com/Shohruh72/YOLOv5
β https://www.tgoop.com/deeplearning_ai
Learn to deploy Gen AI Modelsππ»
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π₯ Limited Seats Available!
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Schedule:
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π Iris Tracking with MediaPipe ποΈ
π Dive into the fascinating world of iris tracking with MediaPipe!
βΆοΈ WebCam Inference
π Check out our project: Source Code
β https://www.tgoop.com/deeplearning_ai
π Dive into the fascinating world of iris tracking with MediaPipe!
βΆοΈ WebCam Inference
π Check out our project: Source Code
β https://www.tgoop.com/deeplearning_ai
Free Access to our premium Machine Learning & AI Channel
ππ
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ππ
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Amazing premium resources only for my subscribers
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Learn Data Science in 30 Days
ππ
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Do react with β₯οΈ if you need more content like this
ENJOY LEARNING ππ
Telegram
Data Science | Machine Learning | Artificial Intelligence
I am planning to start a 30 days of data science series on this telegram channel once we reach 31k subscribers.
Like this post if you need it πβ€οΈ
Please share our channel link with your friends on whatsapp & telegram groups so that we can start it soon:β¦
Like this post if you need it πβ€οΈ
Please share our channel link with your friends on whatsapp & telegram groups so that we can start it soon:β¦
Join the second round of free startup acceleration program in September 2024
Final call for applications for Roboteam program which is ideal for those looking to start a business but who lack coding skills or a team.
Throughout the program, participants will learn how to generate business ideas, build prototypes, and use AI to attract investors. Key elements include business idea experimentation, step-by-step guidance on AI for non-developers, networking opportunities, and preparation for a startup pitch.
The program runs for 4 weeks:
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No coding skills or IT experience are required.
The program runs from September 9 to October 4, with applications open until September 6 on the website https://myroboteam.com/.
Final call for applications for Roboteam program which is ideal for those looking to start a business but who lack coding skills or a team.
Throughout the program, participants will learn how to generate business ideas, build prototypes, and use AI to attract investors. Key elements include business idea experimentation, step-by-step guidance on AI for non-developers, networking opportunities, and preparation for a startup pitch.
The program runs for 4 weeks:
- Week 1: Learn how AI can become your junior co-founder.
- Week 2: Dive into lean startup principles, business modeling, and customer development.
- Week 3: Create a prototype using AI.
- Week 4: Master startup finance and build a pitch deck with AI
No coding skills or IT experience are required.
The program runs from September 9 to October 4, with applications open until September 6 on the website https://myroboteam.com/.
Myroboteam
Get robo co-founders to help you with startup!
Artificial Intelligence && Deep Learning pinned Β«Join the second round of free startup acceleration program in September 2024 Final call for applications for Roboteam program which is ideal for those looking to start a business but who lack coding skills or a team. Throughout the program, participantsβ¦Β»
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βοΈ Creating an AI that Knows When Youβre Eating Without Seeing or Hearing π½π
https://github.com/ZSturman/Hows-My-Eating
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π‘ Transform Your Career with our Expert Training!
π― Share with fellow ML Enthusiasts and future tech leaders!
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βοΈ BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
π Discover More:
* Source Code: GitHub
* Project Page: BundleSDF
* Supplement Video: Try it here
* Paper: Read the paper
β https://www.tgoop.com/deeplearning_ai
π Discover More:
* Source Code: GitHub
* Project Page: BundleSDF
* Supplement Video: Try it here
* Paper: Read the paper
β https://www.tgoop.com/deeplearning_ai
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Forwarded from ENG. Hussein Sheikho
This channels is for Programmers, Coders, Software Engineers.
0οΈβ£ Python
1οΈβ£ Data Science
2οΈβ£ Machine Learning
3οΈβ£ Data Visualization
4οΈβ£ Artificial Intelligence
5οΈβ£ Data Analysis
6οΈβ£ Statistics
7οΈβ£ Deep Learning
8οΈβ£ programming Languages
β
https://www.tgoop.com/addlist/8_rRW2scgfRhOTc0
β
https://www.tgoop.com/codeprogrammer
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"DARTH: Holistic Test-time Adaptation for Multiple Object Tracking"
π Discover More:
* Source Code: GitHub
β https://www.tgoop.com/deeplearning_ai
π Discover More:
* Source Code: GitHub
β https://www.tgoop.com/deeplearning_ai
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βοΈ 3D Reconstruction with Spatial Memory
π Discover More:
* Source Code: GitHub
* Project Page: Spann3R
* Supplement Video: Try it here
* Paper: Read the paper
β https://www.tgoop.com/deeplearning_ai
π Discover More:
* Source Code: GitHub
* Project Page: Spann3R
* Supplement Video: Try it here
* Paper: Read the paper
β https://www.tgoop.com/deeplearning_ai
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π Discover More:
* Source Code: GitHub
* Try Demo: Try it here
β https://www.tgoop.com/deeplearning_ai
* Source Code: GitHub
* Try Demo: Try it here
β https://www.tgoop.com/deeplearning_ai