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.

Owner
GitHub Repository
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images

Main repo for ECCV 2020 paper MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images. visual.cs.brown.edu/matryodshka

Brown University Visual Computing Group 75 Dec 13, 2022
Official implementation of CATs: Cost Aggregation Transformers for Visual Correspondence NeurIPS'21

CATs: Cost Aggregation Transformers for Visual Correspondence NeurIPS'21 For more information, check out the paper on [arXiv]. Training with different

Sunghwan Hong 120 Jan 04, 2023
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval (NeurIPS'21)

Baleen Baleen is a state-of-the-art model for multi-hop reasoning, enabling scalable multi-hop search over massive collections for knowledge-intensive

Stanford Future Data Systems 22 Dec 05, 2022
MAterial del programa Misión TIC 2022

Mision TIC 2022 Esta iniciativa, aparece como respuesta frente a los retos de la Cuarta Revolución Industrial, y tiene como objetivo la formación de 1

6 May 25, 2022
Code accompanying the paper "How Tight Can PAC-Bayes be in the Small Data Regime?"

How Tight Can PAC-Bayes be in the Small Data Regime? This is the code to reproduce all experiments for the following paper: @inproceedings{Foong:2021:

5 Dec 21, 2021
Music Source Separation; Train & Eval & Inference piplines and pretrained models we used for 2021 ISMIR MDX Challenge.

Music Source Separation with Channel-wise Subband Phase Aware ResUnet (CWS-PResUNet) Introduction This repo contains the pretrained Music Source Separ

Lau 100 Dec 25, 2022
This is a JAX implementation of Neural Radiance Fields for learning purposes.

learn-nerf This is a JAX implementation of Neural Radiance Fields for learning purposes. I've been curious about NeRF and its follow-up work for a whi

Alex Nichol 62 Dec 20, 2022
Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

Learning Intents behind Interactions with Knowledge Graph for Recommendation This is our PyTorch implementation for the paper: Xiang Wang, Tinglin Hua

158 Dec 15, 2022
Prompts - Read a textfile of prompts and import into anki via ankiconnect

prompts read a textfile of prompts and import into anki via ankiconnect Usage In

Alexander Cobleigh 2 Jul 28, 2022
SFD implement with pytorch

S³FD: Single Shot Scale-invariant Face Detector A PyTorch Implementation of Single Shot Scale-invariant Face Detector Description Meanwhile train hand

Jun Li 251 Dec 22, 2022
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Introduction This is an official implementation of CvT: Introducing Convolutions to Vision Transformers. We present a new architecture, named Convolut

Microsoft 408 Dec 30, 2022
Alphabetical Letter Recognition

DecisionTrees-Image-Classification Alphabetical Letter Recognition In these demo we are using "Decision Trees" Our database is composed by Learning Im

Mohammed Firass 4 Nov 30, 2021
A production-ready, scalable Indexer for the Jina neural search framework, based on HNSW and PSQL

🌟 HNSW + PostgreSQL Indexer HNSWPostgreSQLIndexer Jina is a production-ready, scalable Indexer for the Jina neural search framework. It combines the

Jina AI 25 Oct 14, 2022
GUI for a Vocal Remover that uses Deep Neural Networks.

GUI for a Vocal Remover that uses Deep Neural Networks.

4.4k Jan 07, 2023
Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.

Deep Constrained Least Squares for Blind Image Super-Resolution [Paper] This is the official implementation of 'Deep Constrained Least Squares for Bli

MEGVII Research 141 Dec 30, 2022
Applying PVT to Semantic Segmentation

Applying PVT to Semantic Segmentation Here, we take MMSegmentation v0.13.0 as an example, applying PVTv2 to SemanticFPN. For details see Pyramid Visio

35 Nov 30, 2022
Semi-supervised Representation Learning for Remote Sensing Image Classification Based on Generative Adversarial Networks

SSRL-for-image-classification Semi-supervised Representation Learning for Remote Sensing Image Classification Based on Generative Adversarial Networks

Feng 2 Nov 19, 2021
This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"

This is an official pytorch implementation of ActionCLIP: A New Paradigm for Video Action Recognition [arXiv] Overview Content Prerequisites Data Prep

268 Jan 09, 2023
A Decentralized Omnidirectional Visual-Inertial-UWB State Estimation System for Aerial Swar.

Omni-swarm A Decentralized Omnidirectional Visual-Inertial-UWB State Estimation System for Aerial Swarm Introduction Omni-swarm is a decentralized omn

HKUST Aerial Robotics Group 99 Dec 23, 2022
An open source Jetson Nano baseboard and tools to design your own.

My Jetson Nano Baseboard This basic baseboard gives the user the foundation and the flexibility to design their own baseboard for the Jetson Nano. It

NVIDIA AI IOT 57 Dec 29, 2022