Human Action Controller - A human action controller running on different platforms.

Related tags

Deep Learninghac
Overview

Human Action Controller (HAC)

Goal

A human action controller running on different platforms.

Fun Easy-to-use
Accurate Anywhere

Fun Examples

Mouse Control

Mouse Control

Keyboard Control

Keyboard Control

Playing Game

Pikachu

Enhancing interaction

Gather Town

Solutions provided by HAC

Platform Module Progress Comment
PC / Win10 Mouse Control V
PC / Win10 Keyboard Control V
PC / Ubuntu Mouse Control
PC / Ubuntu Keyboard Control

Getting started

Installation

$ pip install pyhac

Run the demo of mouse control

$ git clone https://github.com/dabit-lucas/hac.git
$ cd hac
$ python demo.py

Recording custom actions

$ python recording.py -d {action name} -k True

Press key "r" to start recording, the data will be saved into ./data

Training a custom module

Here is an example of a config file of action set,

{
    "actions": [
        "r_five",
        "r_zero",
        "l_five",
        "l_zero",
        "two_index_fingers_up",
        "two_index_fingers_down",
        "33",
        "55",
        "sit"
    ],
    "type": "gesture_only"
}

These actions form a model by running a training process:

$ python train.py --conf {path_of_action} --model_name {name_of_model}

The generated model will become a module. Take mouse control module as an exmaple, it can create mappings among actions and controls by the following code:

mouse_module = hac.add_module("mouse_control")
hac.set_init_module(mouse_module)

# create mapping between controls and actions
mouse_module.add_mouse_mapping("mouse_left_down", ["r_five", "r_zero"])
mouse_module.add_mouse_mapping("mouse_left_up", "r_five")
mouse_module.add_mouse_mapping("mouse_right_down", ["l_five", "l_zero"])
mouse_module.add_mouse_mapping("mouse_right_up", "l_five")
mouse_module.add_mouse_mapping("right_move_diff", ["r_five", "r_five"])
mouse_module.add_mouse_mapping("right_move_diff", ["r_zero", "r_zero"])
mouse_module.add_mouse_mapping("left_move_diff", ["l_five", "l_five"])
mouse_module.add_mouse_mapping("left_move_diff", ["l_zero", "l_zero"])
mouse_module.add_mouse_mapping("roll_up", "two_index_fingers_up")
mouse_module.add_mouse_mapping("roll_down", "two_index_fingers_down") 

If the five gesture with a right hand shows in consecutive two frames ["r_five", "r_five"], then do control right_move_diff, which means moving the mouse cursor. The above description can be represented by the following code:

mouse_module.add_mouse_mapping("right_move_diff", ["r_five", "r_five"])

Development guideline

The structure of HAC

Community

Welcome to ask any question in issues.

Contributing

Any contribution is welcomed. Please fork this repo and summit a pull request.

HybVIO visual-inertial odometry and SLAM system

HybVIO A visual-inertial odometry system with an optional SLAM module. This is a research-oriented codebase, which has been published for the purposes

Spectacular AI 320 Jan 03, 2023
This is the code used in the paper "Entity Embeddings of Categorical Variables".

This is the code used in the paper "Entity Embeddings of Categorical Variables". If you want to get the original version of the code used for the Kagg

Cheng Guo 845 Nov 29, 2022
An official PyTorch implementation of the TKDE paper "Self-Supervised Graph Representation Learning via Topology Transformations".

Self-Supervised Graph Representation Learning via Topology Transformations This repository is the official PyTorch implementation of the following pap

Hsiang Gao 2 Oct 31, 2022
git git《Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking》(CVPR 2021) GitHub:git2] 《Masksembles for Uncertainty Estimation》(CVPR 2021) GitHub:git3]

Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking Ning Wang, Wengang Zhou, Jie Wang, and Houqiang Li Accepted by CVPR

NingWang 236 Dec 22, 2022
Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Weakly Supervised Segmentation with TensorFlow This repo contains a TensorFlow implementation of weakly supervised instance segmentation as described

Phil Ferriere 220 Dec 13, 2022
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack

FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack Case study of the FCA. The code can be find in FCA. Cas

IDRL 21 Dec 15, 2022
BABEL: Bodies, Action and Behavior with English Labels [CVPR 2021]

BABEL is a large dataset with language labels describing the actions being performed in mocap sequences. BABEL labels about 43 hours of mocap sequences from AMASS [1] with action labels.

113 Dec 28, 2022
A Parameter-free Deep Embedded Clustering Method for Single-cell RNA-seq Data

A Parameter-free Deep Embedded Clustering Method for Single-cell RNA-seq Data Overview Clustering analysis is widely utilized in single-cell RNA-seque

AI-Biomed @NSCC-gz 3 May 08, 2022
Hydra Lightning Template for Structured Configs

Hydra Lightning Template for Structured Configs Template for creating projects with pytorch-lightning and hydra. How to use this template? Create your

Model-driven Machine Learning 4 Jul 19, 2022
Python Fanduel API (2021) - Lineup Automation

Southpaw is a python package that provides access to the Fanduel API. Optimize your DFS experience by programmatically updating your lineups, analyzin

Brandin Canfield 13 Jan 04, 2023
Blender Add-On for slicing meshes with planes

MeshSlicer Blender Add-On for slicing meshes with multiple overlapping planes at once. This is a simple Blender addon to slice a silmple mesh with mul

52 Dec 12, 2022
The implementation of ICASSP 2020 paper "Pixel-level self-paced learning for super-resolution"

Pixel-level Self-Paced Learning for Super-Resolution This is an official implementaion of the paper Pixel-level Self-Paced Learning for Super-Resoluti

Elon Lin 41 Dec 15, 2022
Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources

Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources (e.g. just the lead vocals).

Victor Basu 14 Nov 07, 2022
Multi agent DDPG algorithm written in Python + Pytorch

Multi agent DDPG algorithm written in Python + Pytorch. It also includes a Jupyter notebook, Tennis.ipynb, as a showcase.

Rogier Wachters 2 Feb 26, 2022
Exploration-Exploitation Dilemma Solving Methods

Exploration-Exploitation Dilemma Solving Methods Medium article for this repo - HERE In ths repo I implemented two techniques for tackling mentioned t

Aman Mishra 6 Jan 25, 2022
Official Implementation of SWAD (NeurIPS 2021)

SWAD: Domain Generalization by Seeking Flat Minima (NeurIPS'21) Official PyTorch implementation of SWAD: Domain Generalization by Seeking Flat Minima.

Junbum Cha 97 Dec 20, 2022
Image-to-Image Translation with Conditional Adversarial Networks (Pix2pix) implementation in keras

pix2pix-keras Pix2pix implementation in keras. Original paper: Image-to-Image Translation with Conditional Adversarial Networks (pix2pix) Paper Author

William Falcon 141 Dec 30, 2022
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

    VarCLR: Variable Representation Pre-training via Contrastive Learning New: Paper accepted by ICSE 2022. Preprint at arXiv! This repository contain

squaresLab 32 Oct 24, 2022
Toward Spatially Unbiased Generative Models (ICCV 2021)

Toward Spatially Unbiased Generative Models Implementation of Toward Spatially Unbiased Generative Models (ICCV 2021) Overview Recent image generation

Jooyoung Choi 88 Dec 01, 2022
🔀 Visual Room Rearrangement

AI2-THOR Rearrangement Challenge Welcome to the 2021 AI2-THOR Rearrangement Challenge hosted at the CVPR'21 Embodied-AI Workshop. The goal of this cha

AI2 55 Dec 22, 2022