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π Discover the Power of Fine-Grained Gaze Estimation with L2CS-Net! π
π Key Features:
β Advanced Architecture: Built using state-of-the-art neural network structures.
β Versatile Utilities: Packed with utility functions and classes for seamless integration.
β Robust Data Handling: Efficient data loading, preprocessing, and augmentation.
β Comprehensive Training & Testing: Easy-to-follow scripts for training and testing your models.
π Live Demo:
Visualize the power of L2CS-Net with your own video:
π Join Us:
Star our repo on GitHub and be part of the innovative community pushing the boundaries of gaze estimation. Your support drives us forward!
π GitHub Repository
Let's advance gaze estimation together! ππ #GazeEstimation #DeepLearning #AI #MachineLearning #ComputerVision
π Key Features:
β Advanced Architecture: Built using state-of-the-art neural network structures.
β Versatile Utilities: Packed with utility functions and classes for seamless integration.
β Robust Data Handling: Efficient data loading, preprocessing, and augmentation.
β Comprehensive Training & Testing: Easy-to-follow scripts for training and testing your models.
π Live Demo:
Visualize the power of L2CS-Net with your own video:
π Join Us:
Star our repo on GitHub and be part of the innovative community pushing the boundaries of gaze estimation. Your support drives us forward!
π GitHub Repository
Let's advance gaze estimation together! ππ #GazeEstimation #DeepLearning #AI #MachineLearning #ComputerVision
π14β€5π€©1
π 3DGazeNet: Revolutionizing Gaze Estimation with Weak-Supervision! π
Key Features:
πΉ Advanced Neural Network: Built on the robust U2-Net architecture.
πΉ Comprehensive Utilities: Easy data loading, preprocessing, and augmentation.
πΉ 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.
π»Source Code: https://github.com/Shohruh72/3DGazeNet
πRead the Paper: Access Here
#3DGazeNet #GazeEstimation #AI #DeepLearning #TechInnovation
Join us in pushing the boundaries of gaze estimation technology with 3DGazeNet!
Key Features:
πΉ Advanced Neural Network: Built on the robust U2-Net architecture.
πΉ Comprehensive Utilities: Easy data loading, preprocessing, and augmentation.
πΉ 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.
π»Source Code: https://github.com/Shohruh72/3DGazeNet
πRead the Paper: Access Here
#3DGazeNet #GazeEstimation #AI #DeepLearning #TechInnovation
Join us in pushing the boundaries of gaze estimation technology with 3DGazeNet!
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π Introducing L2CS-Net: Fine-Grained Gaze Estimation πβ¨
π GitHub Repo: Star β the Repo
π₯ Key Features:
β Fine-grained gaze estimation with deep learning
β Supports Gaze360 dataset
β Train with Single-GPU / Multi-GPU
β Demo for real-time visualization
π Quick Start:
ποΈ Prepare dataset
ποΈ Train (
π₯ Video Infernece (
π Support Open Source! Star β & Share!
π GitHub Repo: L2CSNet
#AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource π
π GitHub Repo: Star β the Repo
π₯ Key Features:
β Fine-grained gaze estimation with deep learning
β Supports Gaze360 dataset
β Train with Single-GPU / Multi-GPU
β Demo for real-time visualization
π Quick Start:
ποΈ Prepare dataset
ποΈ Train (
python main.py --train
) π₯ Video Infernece (
python main.py --demo
)π Support Open Source! Star β & Share!
π GitHub Repo: L2CSNet
#AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource π
π17β€2π₯2π€©1
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π 3DGazeNet: Next-Gen Gaze Estimation! - get instant results with just one click.
Discover how to train powerful gaze estimation models using only synthetic data and weak supervisionβno huge real-world datasets needed.
Perfect for AR/VR, HCI, and beyond.
Cutting-edge, open-source, and ready for your next project!
π Try it now: https://github.com/Shohruh72/3DGazeNet
#DeepLearning #GazeEstimation #AI
@deeplearning_ai
Discover how to train powerful gaze estimation models using only synthetic data and weak supervisionβno huge real-world datasets needed.
Perfect for AR/VR, HCI, and beyond.
Cutting-edge, open-source, and ready for your next project!
π Try it now: https://github.com/Shohruh72/3DGazeNet
#DeepLearning #GazeEstimation #AI
@deeplearning_ai
β€9π₯3π2