Python project to take sound as input and output as RGB + Brightness values suitable for DMX

Last update: Nov 17, 2021

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Deep Learning sound-to-light

Overview

sound-to-light

Python project to take sound as input and output as RGB + Brightness values suitable for DMX

Current goals:

Get one pixel working:
- Vary brightness according to the amplitude of the sound input
- Vary RGB value according to the frequency of the sound input
  - Colors mapped similar as https://github.com/CymaSpace/Cymatic-Lighting/blob/master/Cymatic_Lighting/Cymatic_Lighting.ino

Owner

Bobby Cox

GitHub Repository

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Python project to take sound as input and output as RGB + Brightness values suitable for DMX

Related tags

Overview

sound-to-light

Owner

Bobby Cox

Recurrent Scale Approximation (RSA) for Object Detection

MicroNet: Improving Image Recognition with Extremely Low FLOPs (ICCV 2021)

A PyTorch-based library for fast prototyping and sharing of deep neural network models.

Tensorboard for pytorch (and chainer, mxnet, numpy, ...)

[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

Auxiliary data to the CHIIR paper Searching to Learn with Instructional Scaffolding

BOVText: A Large-Scale, Multidimensional Multilingual Dataset for Video Text Spotting

Official codes for the paper "Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech"

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Spatio-Temporal Entropy Model (STEM) for end-to-end leaned video compression.

Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks

Code for "The Box Size Confidence Bias Harms Your Object Detector"

Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up/down.

for a paper about leveraging discourse markers for training new models

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