Fully Automatic Page Turning on Real Scores

Overview

Fully Automatic Page Turning on Real Scores

This repository contains the corresponding code for our extended abstract

Henkel F., Schwaiger S. and Widmer G.
"Fully Automatic Page Turning on Real Scores".
In Extended Abstracts for the Late-Breaking Demo Session of the 22nd International Society for Music Information Retrieval Conference, 2021

Videos

In the folder videos you will find a piece from the test set, where our system follows the incoming musical performance (once a synthetic audio and once a recording) and turns pages accordingly.

Getting Started

If you want to try our code, please follow the instructions below.

Setup and Requirements

First, clone the project from GitHub:

git clone https://github.com/fhenkel/page_turner.git

Move to the cloned folder:

cd page_turner

In the cloned folder you will find an anaconda environment file which you should install using the following command:

conda env create -f environment.yml

This will also install the score following system from https://github.com/CPJKU/cyolo_score_following

Activate the environment:

conda activate page_turner

Finally, install the project in the activated environment:

python setup.py develop --user

Check if everything works

To verify that everything is correctly set up, move to the page_turner directory and run the following command:

python automatic_page_turner.py

This opens a window with two buttons on the bottom. Clicking on Start tracking... will then open a dialog window that allows you to select different performances, scores and models. (The #Pages is intended for the live mode of the score to indicate how often a page should be turned by a physical page turner. Just keep it to 0 if you load the score from the disk.) Once everything is set, press the ok button to start tracking.

Acknowledgements

We would like to thank Jan Hajič Jr. and Carlos Eduardo Cancino Chacón for performing and recording the test pieces for us.

This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement number 670035, project "Con Espressione").

Owner
Florian Henkel
Florian Henkel
Contrastive Loss Gradient Attack (CLGA)

Contrastive Loss Gradient Attack (CLGA) Official implementation of Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22 Bu

12 Dec 23, 2022
UNAVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring

UNAVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring Code Summary aggregate.py: this script aggr

1 Dec 28, 2021
Filtering variational quantum algorithms for combinatorial optimization

Current gate-based quantum computers have the potential to provide a computational advantage if algorithms use quantum hardware efficiently.

1 Feb 09, 2022
A more easy-to-use implementation of KPConv

A more easy-to-use implementation of KPConv This repo contains a more easy-to-use implementation of KPConv based on PyTorch. Introduction KPConv is a

Zheng Qin 35 Dec 14, 2022
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

#NeuralTalk Warning: Deprecated. Hi there, this code is now quite old and inefficient, and now deprecated. I am leaving it on Github for educational p

Andrej 5.3k Jan 07, 2023
Corruption Invariant Learning for Re-identification

Corruption Invariant Learning for Re-identification The official repository for Benchmarks for Corruption Invariant Person Re-identification (NeurIPS

Minghui Chen 73 Dec 08, 2022
This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.

Skeleton Aware Multi-modal Sign Language Recognition By Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li and Yun Fu. Smile Lab @ Northeastern

Isen (Songyao Jiang) 128 Dec 08, 2022
Revisting Open World Object Detection

Revisting Open World Object Detection Installation See INSTALL.md. Dataset Our n

58 Dec 23, 2022
Weakly Supervised Text-to-SQL Parsing through Question Decomposition

Weakly Supervised Text-to-SQL Parsing through Question Decomposition The official repository for the paper "Weakly Supervised Text-to-SQL Parsing thro

14 Dec 19, 2022
Yolo Traffic Light Detection With Python

Yolo-Traffic-Light-Detection This project is based on detecting the Traffic light. Pretained data is used. This application entertained both real time

Ananta Raj Pant 2 Aug 08, 2022
[AAAI22] Reliable Propagation-Correction Modulation for Video Object Segmentation

Reliable Propagation-Correction Modulation for Video Object Segmentation (AAAI22) Preview version paper of this work is available at: https://arxiv.or

Xiaohao Xu 70 Dec 04, 2022
🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.

OPFython: A Python-Inspired Optimum-Path Forest Classifier Welcome to OPFython. Note that this implementation relies purely on the standard LibOPF. Th

Gustavo Rosa 30 Jan 04, 2023
[SIGGRAPH 2020] Attribute2Font: Creating Fonts You Want From Attributes

Attr2Font Introduction This is the official PyTorch implementation of the Attribute2Font: Creating Fonts You Want From Attributes. Paper: arXiv | Rese

Yue Gao 200 Dec 15, 2022
The official codes for the ICCV2021 presentation "Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting"

UEPNet (ICCV2021 Poster Presentation) This repository contains codes for the official implementation in PyTorch of UEPNet as described in Uniformity i

Tencent YouTu Research 15 Dec 14, 2022
Use .csv files to record, play and evaluate motion capture data.

Purpose These scripts allow you to record mocap data to, and play from .csv files. This approach facilitates parsing of body movement data in statisti

21 Dec 12, 2022
Deep Learning Models for Causal Inference

Extensive tutorials for learning how to build deep learning models for causal inference using selection on observables in Tensorflow 2.

Bernard J Koch 151 Dec 31, 2022
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions

Natural Posterior Network This repository provides the official implementation o

Oliver Borchert 54 Dec 06, 2022
😊 Python module for face feature changing

PyWarping Python module for face feature changing Installation pip install pywarping If you get an error: No such file or directory: 'cmake': 'cmake',

Dopevog 10 Sep 10, 2021
Image Processing, Image Smoothing, Edge Detection and Transforms

opevcvdl-hw1 This project uses openCV and Qt to achieve the requirements. Version Python 3.7 opencv-contrib-python 3.4.2.17 Matplotlib 3.1.1 pyqt5 5.1

Kenny Cheng 3 Aug 17, 2022
Implementation of Change-Based Exploration Transfer (C-BET)

Implementation of Change-Based Exploration Transfer (C-BET), as presented in Interesting Object, Curious Agent: Learning Task-Agnostic Exploration.

Simone Parisi 29 Dec 04, 2022