Graphical visualizer for spectralyze by Lauchmelder23

Overview

spectralyze visualizer

Graphical visualizer for spectralyze by Lauchmelder23

Install

Install matplotlib and ffmpeg. Put ffmpeg.exe in same folder as visualize.py for Windows installations.

For best results, use the spectralyze file for Windows available in the most recent release in this repository.

Usage

Most flags are experimental and may result in a less than ideal end result.

Use python visualizer.py -h for more up to date information.

usage: 
visualize.py json audio [-h] [-x min max] [-y min max] [-d dpi] [-w] [-f fps] 
[-t] [-l] [-b] [-c color] [-th dark/light] [-n] 

Spectrum video file generator

positional arguments:
  json            Spectrum JSON file
  audio           Audio file (mp3 or wav)

optional arguments:
  -h, --help      show this help message and exit
  -x min max      x-axis range (default auto)
  -y min max      y-axis range (default auto)
  -d dpi          DPI of the output video (default 100)
  -w              Changes ratio to 16:9 (default 4:3)
  -f fps          FPS of the output video (default 20) (FPS * spectralyze intervals (-i) = 1000)
  -t              Hides plot title
  -l              Hides plot labels
  -b              Hides borders and ticks
  -c color        Color of plot lines (default dependant on theme)
  -th dark/light  Graph theme (default dark)
  -n float        Attempts to remove low, messy magnitudes for a cleaner noise floor with more defined notes (highly experimental)

Match the -f FPS in visualizer with the -i interval flag in spectralyze so that FPS * interval = 1000ms (i.e. 20FPS * 50 = 1000). Failure to do so will result in unsynced audio and video.

Examples

Starting out, I recommend using the following set of commands.

visualizer

python visualize.py file.json file.mp3 -d 100 -f 20 -w -t -l -b

spectralyze

spectralyze.exe -i 50 -p 3 file.wav
spectralyze.exe -i 50 file.wav

Finished results

python visualize.py Tetris.json Tetris.mp3 -d 300 -f 20 -x 0 1000 -y -1.01 1.01 -n 0.25 -c purple -w -t -l -b
final_Tetris.mp4
python visualize.py Tetris.json Tetris.mp3 -d 300 -f 20 -x 0 1000 -w -t -l -b -c purple
final_Tetris.mp4

(don't have the command for the one below)

final_tea.mp4

Credits

mpsparrow

Lauchmelder23

You might also like...
A System Metrics Monitoring Tool Built using Python3 , rabbitmq,Grafana and InfluxDB. Setup using docker compose. Use to monitor system performance with graphical interface of grafana , storage of influxdb and message queuing of rabbitmq
Graphical display tools, to help students debug their class implementations in the Carcassonne family of projects

carcassonne_tools Graphical display tools, to help students debug their class implementations in the Carcassonne family of projects NOTE NOTE NOTE The

Make visual music sheets for thatskygame (graphical representations of the Sky keyboard)
Make visual music sheets for thatskygame (graphical representations of the Sky keyboard)

sky-python-music-sheet-maker This program lets you make visual music sheets for Sky: Children of the Light. It will ask you a few questions, and does

Splore - a simple graphical interface for scrolling through and exploring data sets of molecules
Splore - a simple graphical interface for scrolling through and exploring data sets of molecules

Scroll through and exPLORE molecule sets The splore framework aims to offer a si

Visualizer for neural network, deep learning, and machine learning models
Visualizer for neural network, deep learning, and machine learning models

Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX (.onnx, .pb, .pbtxt), Keras (.h5, .keras), Tens

2D maze path solver visualizer implemented with python
2D maze path solver visualizer implemented with python

2D maze path solver visualizer implemented with python

Data Visualizer for Super Mario Kart (SNES)

Data Visualizer for Super Mario Kart (SNES)

Visualizer for neural network, deep learning, and machine learning models
Visualizer for neural network, deep learning, and machine learning models

Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX (.onnx, .pb, .pbtxt), Keras (.h5, .keras), Tens

Yet Another Compiler Visualizer

yacv: Yet Another Compiler Visualizer yacv is a tool for visualizing various aspects of typical LL(1) and LR parsers. Check out demo on YouTube to see

A no-BS, dead-simple training visualizer for tf-keras
A no-BS, dead-simple training visualizer for tf-keras

A no-BS, dead-simple training visualizer for tf-keras TrainingDashboard Plot inter-epoch and intra-epoch loss and metrics within a jupyter notebook wi

Visualizer for neural network, deep learning, and machine learning models
Visualizer for neural network, deep learning, and machine learning models

Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX, TensorFlow Lite, Keras, Caffe, Darknet, ncnn,

Log visualizer for whirl-framework
Log visualizer for whirl-framework

Lumberjack Log visualizer for whirl-framework Установка pip install -r requirements.txt Как пользоваться python3 lumberjack.py -l путь до лога -o

This is a sorting visualizer made with Tkinter.

Sorting-Visualizer This is a sorting visualizer made with Tkinter. Make sure you've installed tkinter in your system to use this visualizer pip instal

Alternative layout visualizer for ZSA Moonlander keyboard
Alternative layout visualizer for ZSA Moonlander keyboard

General info This is a keyboard layout visualizer for ZSA Moonlander keyboard (because I didn't find their Oryx or their training tool particularly us

Path finding algorithm visualizer with python

path-finding-algorithm-visualizer ~ click on the grid to place the starting block and then click elsewhere to add the end block ~ click again to place

Decision Border Visualizer for Classification Algorithms
Decision Border Visualizer for Classification Algorithms

dbv Decision Border Visualizer for Classification Algorithms Project description A python package for Machine Learning Engineers who want to visualize

Arghonaut is an interactive interpreter, visualizer, and debugger for Argh! and Aargh!

Arghonaut Arghonaut is an interactive interpreter, visualizer, and debugger for Argh! and Aargh!, which are Befunge-like esoteric programming language

A filler visualizer built using python
A filler visualizer built using python

filler-visualizer 42 filler のログをビジュアライズしてスポーツさながら楽しむことができます! Usage (標準入力でvisualizer.pyに渡せばALL OK) 1. 既にあるログをビジュアライズする $ ./filler_vm -t 3 -p1 john_fill

ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata
ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata

ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata (Name, company, port, user manua

Releases(1.0)
Owner
Matthew
Computer Engineering | populating the world with bad code
Matthew
Uniform Manifold Approximation and Projection

UMAP Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, bu

Leland McInnes 6k Jan 08, 2023
The repository is my code for various types of data visualization cases based on the Matplotlib library.

ScienceGallery The repository is my code for various types of data visualization cases based on the Matplotlib library. It summarizes the code and cas

Warrick Xu 2 Apr 20, 2022
Python package for hypergraph analysis and visualization.

The HyperNetX library provides classes and methods for the analysis and visualization of complex network data. HyperNetX uses data structures designed to represent set systems containing nested data

Pacific Northwest National Laboratory 304 Dec 27, 2022
View part of your screen in grayscale or simulated color vision deficiency.

monolens View part of your screen in grayscale or filtered to simulate color vision deficiency. Watch the demo on YouTube. Install with pip install mo

Hans Dembinski 31 Oct 11, 2022
ScisorWiz: Differential Isoform Visualizer for Long-Read RNA Sequencing Data

ScisorWiz: Vizualizer for Differential Isoform Expression README ScisorWiz is a linux-based R-package for visualizing differential isoform expression

Alexander Stein 6 Oct 04, 2022
🎨 Python3 binding for `@AntV/G2Plot` Plotting Library .

PyG2Plot 🎨 Python3 binding for @AntV/G2Plot which an interactive and responsive charting library. Based on the grammar of graphics, you can easily ma

hustcc 990 Jan 05, 2023
Altair extension for saving charts in a variety of formats.

Altair Saver This packge provides extensions to Altair for saving charts to a variety of output types. Supported output formats are: .json/.vl.json: V

Altair 85 Dec 09, 2022
This is simply repo for line drawing rendering using freestyle in Blender.

blender_freestyle_line_drawing This is simply repo for line drawing rendering using freestyle in Blender. how to use blender2935 --background --python

MaxLin 3 Jul 02, 2022
Declarative statistical visualization library for Python

Altair http://altair-viz.github.io Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understa

Altair 8k Jan 05, 2023
Interactive plotting for Pandas using Vega-Lite

pdvega: Vega-Lite plotting for Pandas Dataframes pdvega is a library that allows you to quickly create interactive Vega-Lite plots from Pandas datafra

Altair 342 Oct 26, 2022
HW_02 Data visualisation task

HW_02 Data visualisation and Matplotlib practice Instructions for HW_02 Idea for data analysis As I was brainstorming ideas and running through databa

9 Dec 13, 2022
Analysis and plotting for motor/prop/ESC characterization, thrust vs RPM and torque vs thrust

esc_test This is a Python package used to plot and analyze data collected for the purpose of characterizing a particular propeller, motor, and ESC con

Alex Spitzer 1 Dec 28, 2021
Dimensionality reduction in very large datasets using Siamese Networks

ivis Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets. Ivis

beringresearch 284 Jan 01, 2023
Multi-class confusion matrix library in Python

Table of contents Overview Installation Usage Document Try PyCM in Your Browser Issues & Bug Reports Todo Outputs Dependencies Contribution References

Sepand Haghighi 1.3k Dec 31, 2022
阴阳师后台全平台(使用网易 MuMu 模拟器)辅助。支持御魂,觉醒,御灵,结界突破,秘闻副本,地域鬼王。

阴阳师后台全平台辅助 Python 版本:Python 3.8.3 模拟器:网易 MuMu | 雷电模拟器 模拟器分辨率:1024*576 显卡渲染模式:兼容(OpenGL) 兼容 Windows 系统和 MacOS 系统 思路: 利用 adb 截图后,使用 opencv 找图找色,模拟点击。使用

简讯 27 Jul 09, 2022
Scientific Visualization: Python + Matplotlib

An open access book on scientific visualization using python and matplotlib

Nicolas P. Rougier 8.6k Dec 31, 2022
Automatically generate GitHub activity!

Commit Bot Automatically generate GitHub activity! We've all wanted to be the developer that commits every day, but that requires a lot of work. Let's

Ricky 4 Jun 07, 2022
LabGraph is a a Python-first framework used to build sophisticated research systems with real-time streaming, graph API, and parallelism.

LabGraph is a a Python-first framework used to build sophisticated research systems with real-time streaming, graph API, and parallelism.

MLH Fellowship 7 Oct 05, 2022
Library for exploring and validating machine learning data

TensorFlow Data Validation TensorFlow Data Validation (TFDV) is a library for exploring and validating machine learning data. It is designed to be hig

688 Jan 03, 2023
Squidpy is a tool for the analysis and visualization of spatial molecular data.

Squidpy is a tool for the analysis and visualization of spatial molecular data. It builds on top of scanpy and anndata, from which it inherits modularity and scalability. It provides analysis tools t

Theis Lab 251 Dec 19, 2022