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

Implementation of the Remixer Block from the Remixer paper, in Pytorch

Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.

This is the implementation of the paper "Self-supervised Outdoor Scene Relighting"

K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce (EMNLP Founding 2021)

A fast Protein Chain / Ligand Extractor and organizer.

High accurate tool for automatic faces detection with landmarks

A GUI for Face Recognition, based upon Docker, Tkinter, GPU and a camera device.

Parametric Contrastive Learning (ICCV2021)

The world's simplest facial recognition api for Python and the command line

PyTorch code for EMNLP 2021 paper: Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System

A framework to train language models to learn invariant representations.

The fastai book, published as Jupyter Notebooks

Prototypical python implementation of the trust-region algorithm presented in Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints by Larson, Leyffer, Kirches, and Manns.

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Code for SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics (ACL'2020).

Collections for the lasted paper about multi-view clustering methods (papers, codes)