Python package provinding tools for artistic interactive applications using AI

Last update: Sep 30, 2021

Overview

redrawing

Python package provinding tools for artistic interactive applications using AI

Created by ReDrawing Campinas team for the OpenCV AI 2021 Competition.

Installation

python -m pip install --upgrade pip
python -m pip install redrawing

Stages

Stages are the basic processing units of the redrawing package. They receive data objects from input channels, processes them and output data in the output channels.

Examples of stages:

Stage name	Use
OAK_Stage	Handles a OAK camera. Can be changed using OAK_Substages, like a Body detector or a Hand gesture detector
PCR_Viewer	Visualizer for image, depth and body pose data
CameraReceiver/IMUReceiver	Receives data from a smarthphone
UKF_IMU	UKF filter for orientation estimation using IMU data

Data and communication

All inter stage data communication occours using Data classes.

Examples of data classes:

Data class	Use
BodyPose	Stores body pose data (keypoints)
Image	Stores image data
Depth_Map	Stores depth data
IMU	Stores IMU data

For exchange data with client applications, the UDP_Stage can be used, using UDP protocol with JSON converted messages. We also have client libraries for receiving and decoding data:

redrawing_java: client library for Java
ReDrawing for Processing: client library for Processing, encapsulates the redrawing_java library

Authors

Legal

Submodules in ai_models/third_models submodules may be licensed under other licenses. A copy of the respective license can be found in the submodule folder.

Made with the support of "Conselho Nacional de Desenvolvimento Científico e Tecnológico" (CNPq) of Brazil

Python package provinding tools for artistic interactive applications using AI

Related tags

Overview

redrawing

Installation

Stages

Data and communication

Authors

Legal

Owner

ReDrawing Campinas

Text mining project; Using distilBERT to predict authors in the classification task authorship attribution.

MMRazor: a model compression toolkit for model slimming and AutoML

Inferring Lexicographically-Ordered Rewards from Preferences

Code for the paper Task Agnostic Morphology Evolution.

A curated list of awesome projects and resources related fastai

Implementation of several Bayesian multi-target tracking algorithms, including Poisson multi-Bernoulli mixture filters for sets of targets and sets of trajectories. The repository also includes the GOSPA metric and a metric for sets of trajectories to evaluate performance.

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env

Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)

Simulate genealogical trees and genomic sequence data using population genetic models

Generic ecosystem for feature extraction from aerial and satellite imagery

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

N-Person-Check-Checker-Splitter - A calculator app use to divide checks

This repository contains the official MATLAB implementation of the TDA method for reverse image filtering

Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation

I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform some analysis,,

JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library

🐸STT integration examples

Dynamic View Synthesis from Dynamic Monocular Video

Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)