Depth image based mouse cursor visual haptic

Last update: Dec 20, 2022

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Overview

Depth image based mouse cursor visual haptic

How to run it.

Install pyqt5.
Install python modules

pip install Pillow
pip install numpy

For illustration example,

python run_depth_based_visual_haptic.py --color-image kazetachinu008.jpg --depth-image kazetachinu008_depth.png --most-far-depth 0

For photo example,

python run_depth_based_visual_haptic.py --color-image pexels-mark-neal-2850726.jpg --depth-image pexels-mark-neal-2850726_depth.png --most-far-depth 0

Example images

The photo image is from pexels. The illustration image is from studio ghibli.

Owner

Xiong Jie

Software Engineer, maybe? https://twitter.com/_xiongjie_

GitHub Repository

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Depth image based mouse cursor visual haptic

Related tags

Overview

Depth image based mouse cursor visual haptic

How to run it.

Example images

Owner

Xiong Jie

This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision"

3D Generative Adversarial Network

NeurIPS 2021, self-supervised 6D pose on category level

Keras attention models including botnet,CoaT,CoAtNet,CMT,cotnet,halonet,resnest,resnext,resnetd,volo,mlp-mixer,resmlp,gmlp,levit

Official PyTorch repo for JoJoGAN: One Shot Face Stylization

Phy-Q: A Benchmark for Physical Reasoning

A generator of point clouds dataset for PyPipes.

Implementation of the paper "Generating Symbolic Reasoning Problems with Transformer GANs"

A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)

Maximum Spatial Perturbation for Image-to-Image Translation (Official Implementation)

GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification

Neural Contours: Learning to Draw Lines from 3D Shapes (CVPR2020)

An implementation of shampoo

Official implementation for the paper: "Multi-label Classification with Partial Annotations using Class-aware Selective Loss"

Official codes for the paper "Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech"

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