Archives for 3D data
3D deep learning finds crucial applications nowadays in many domains, including robotics, autonomous driving, virtual reality, and medical diagnosis. The 3D data required for training is collected using 3D sensors such as LiDAR (Light Detection And Ranging) and Depth cameras (e.g. RGB-D cameras). With increased numbers of 3D sensors, collecting data for training and capturing…
The post Guide To labelCloud: A Python Tool for Annotating 3D Point Clouds appeared first on Analytics India Magazine.
NVIDIA's Kaolin is a PyTorch library for all 3D deep learning needs from data preprocessing to model deployment, intending faster research
The post Guide To NVIDIA’s Kaolin: A 3D Deep Learning Library appeared first on Analytics India Magazine.
NVIDIA's Kaolin is a PyTorch library for all 3D deep learning needs from data preprocessing to model deployment, intending faster research
The post Guide To NVIDIA’s Kaolin: A 3D Deep Learning Library appeared first on Analytics India Magazine.
Point Transformer reaches a new milestone in various public 3D image datasets by outperforming the present strongest models
The post How Point Transformer Excels In 3D Image Processing appeared first on Analytics India Magazine.
Mayavi is a cross-platform library and application for 2D and 3D plotting and interactive visualization of scientific data using Python. It leverages the power of Visualization Toolkit (VTK) without requiring the users to have its prior knowledge. It acts as a clean and lucid Python interface that enables plotting complex figures with a few code…
The post Guide To Mayavi: A Python Tool For Visualizing and Plotting 2D/3D Scientific Data appeared first on Analytics India Magazine.
Torch-Points3D is a flexible and powerful framework that aims to make deep learning on 3D data both more accessible and reproducible.
The post Hands-On Guide to Torch-Points3D: A Modular Deep Learning Framework for 3D Data appeared first on Analytics India Magazine.
Stable View Synthesis achieves state-of-the-art performance in 3D photorealistic view synthesis, significantly outperforming any of the current approaches
The post Guide to Intel’s Stable View Synthesis – A State-of-Art 3D Photorealistic Framework appeared first on Analytics India Magazine.
Stable View Synthesis achieves state-of-the-art performance in 3D photorealistic view synthesis, significantly outperforming any of the current approaches
The post Guide to Intel’s Stable View Synthesis – A State-of-Art 3D Photorealistic Framework appeared first on Analytics India Magazine.
Facebook AI’s PyTorch 3D is a python library to deal with 3D data in deep learning. It is based on PyTorch tensors and highly modular, flexible, efficient and optimized framework, which makes it easier for researchers to experiment with and impart scalability to big 3D data. PyTorch 3D framework contains a set of 3D operators,…
The post Hands-on Guide to PyTorch 3D – A Library for Deep Learning with 3D Data appeared first on Analytics India Magazine.
Facebook AI’s PyTorch 3D is a python library to deal with 3D data in deep learning. It is based on PyTorch tensors and highly modular, flexible, efficient and optimized framework, which makes it easier for researchers to experiment with and impart scalability to big 3D data. PyTorch 3D framework contains a set of 3D operators,…
The post Hands-on Guide to PyTorch 3D – A Library for Deep Learning with 3D Data appeared first on Analytics India Magazine.