PiRapGenerator - Make anyone rap the digits of pi

Overview

PiRapGenerator

Make anyone rap the digits of pi (sample files are of Ted Nivison)

Installation

This requires pydub to be installed (via pip) which requires ffmpeg to export audio
(Must be added to PATH or use pydub.AudioSegment.ffmpeg = "/path/to/ffmpeg" or AudioSegment.converter idk anymore)

Usage

Create audio clips of an exact length (in this case, 1/2 beat @ 140bpm = ~214ms) with the naming scheme shown (pi0, pi1, etc)
Create a txt containing pi up to the number of digits you want and edit the path to it in the script
Run the script using terminal/cmd as it runs roughly 2x faster than in IDLE Shell
To cancel the render early, use CTRL+C to interrupt the program. This will then save the current file's progress.
The chunk size can be changed, however a larger size may cause the program to run slower

Info & Warnings

  • No additional compression is done by default so each chunk will be the combined file size of each induvidual part
  • Currently the final chunk will be named as if it failed.
  • You may be limited by memory which is the cause of an 'Argument out of range' error.
  • Combine.py is currently very basic and will process all WAVs in the output folder/the scripts running folder. All WAVs that have been made by Combine.py must be deleted before it is run again.
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
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation (CoRL 2021)

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation [Project website] [Paper] This project is a PyTorch i

Cognitive Learning for Vision and Robotics (CLVR) lab @ USC 6 Feb 28, 2022
The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Wearables Development Toolkit (WDK) The Wearables Development Toolkit (WDK) is a framework and set of tools to facilitate the iterative development of

Juan Haladjian 114 Nov 27, 2022
Implementation of the paper ''Implicit Feature Refinement for Instance Segmentation''.

Implicit Feature Refinement for Instance Segmentation This repository is an official implementation of the ACM Multimedia 2021 paper Implicit Feature

Lufan Ma 17 Dec 28, 2022
Multimodal commodity image retrieval 多模态商品图像检索

Multimodal commodity image retrieval 多模态商品图像检索 Not finished yet... introduce explain:The specific description of the project and the product image dat

hongjie 8 Nov 25, 2022
Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation

TensorFlow White Paper Notes Features Notes broken down section by section, as well as subsection by subsection Relevant links to documentation, resou

Sam Abrahams 437 Oct 09, 2022
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval

CLIP4CMR A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval The original data and pre-calculate

24 Dec 26, 2022
Some pvbatch (paraview) scripts for postprocessing OpenFOAM data

pvbatchForFoam Some pvbatch (paraview) scripts for postprocessing OpenFOAM data For every script there is a help message available: pvbatch pv_state_s

Morev Ilya 2 Oct 26, 2022
Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

Hrishikesh Kamath 31 Nov 20, 2022
Neural Re-rendering for Full-frame Video Stabilization

NeRViS: Neural Re-rendering for Full-frame Video Stabilization Project Page | Video | Paper | Google Colab Setup Setup environment for [Yu and Ramamoo

Yu-Lun Liu 9 Jun 17, 2022
GrailQA: Strongly Generalizable Question Answering

GrailQA is a new large-scale, high-quality KBQA dataset with 64,331 questions annotated with both answers and corresponding logical forms in different syntax (i.e., SPARQL, S-expression, etc.). It ca

OSU DKI Lab 76 Dec 21, 2022
A simple, fully convolutional model for real-time instance segmentation.

You Only Look At CoefficienTs ██╗ ██╗ ██████╗ ██╗ █████╗ ██████╗████████╗ ╚██╗ ██╔╝██╔═══██╗██║ ██╔══██╗██╔════╝╚══██╔══╝ ╚██

Daniel Bolya 4.6k Dec 30, 2022
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

MixHop and N-GCN ⠀ A PyTorch implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019)

Benedek Rozemberczki 393 Dec 13, 2022
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

An-Introduction-to-Statistical-Learning This repository contains the exercises and its solution contained in the book An Introduction to Statistical L

2.1k Jan 02, 2023
Conservative Q Learning for Offline Reinforcement Reinforcement Learning in JAX

CQL-JAX This repository implements Conservative Q Learning for Offline Reinforcement Reinforcement Learning in JAX (FLAX). Implementation is built on

Karush Suri 8 Nov 07, 2022
Few-Shot Graph Learning for Molecular Property Prediction

Few-shot Graph Learning for Molecular Property Prediction Introduction This is the source code and dataset for the following paper: Few-shot Graph Lea

Zhichun Guo 94 Dec 12, 2022
Array Camera Ptychography

Array Camera Ptychography This repository provides the code for the following papers: Schulz, Timothy J., David J. Brady, and Chengyu Wang. "Photon-li

Brady lab in Optical Sciences 1 Nov 15, 2021
LLVM-based compiler for LightGBM gradient-boosted trees. Speeds up prediction by ≥10x.

LLVM-based compiler for LightGBM gradient-boosted trees. Speeds up prediction by ≥10x.

Simon Boehm 183 Jan 02, 2023
Breast cancer is been classified into benign tumour and malignant tumour.

Breast cancer is been classified into benign tumour and malignant tumour. Logistic regression is applied in this model.

1 Feb 04, 2022
Object Depth via Motion and Detection Dataset

ODMD Dataset ODMD is the first dataset for learning Object Depth via Motion and Detection. ODMD training data are configurable and extensible, with ea

Brent Griffin 172 Dec 21, 2022