Visualizer using audio and semantic analysis to explore BigGAN (Brock et al., 2018) latent space.

Overview

BigGAN Audio Visualizer

Description

This visualizer explores BigGAN (Brock et al., 2018) latent space by using pitch/tempo of an audio file to generate and interpolate between noise/class vector inputs to the model. Classes are chosen manually or optionally using semantic similarity on BERT encodings of a lyrics corpus.

Usage:

usage: visualize.py [-h] -s SONG [--resolution {128,256,512}] [-d DURATION]
               [-ps [200-295]] [-ts [0.05-0.8]]
               [--classes CLASSES [CLASSES ...]] [-n NUM_CLASSES]
               [--jitter [0-1]] [--frame_length i*2^6] [--truncation [0.1-1]]
               [--smooth_factor [10-30]] [--batch_size BATCH_SIZE]
               [-o OUTPUT_FILE] [--use_last_vectors] [--use_last_classes]
               [-l LYRICS]

Arguments

short long default range help
-h --help show this help message and exit
-s --song input/romantic.mp3 path to input audio file
--resolution 512 {128,256,512} output video resolution
-d --duration None output video duration
-ps --pitch_sensitivity 220 [200-295] controls the sensitivity of the class vector to changes in pitch
-ts --tempo_sensitivity 0.25 [0.05-0.8] controls the sensitivity of the noise vector to changes in volume and tempo
--classes None manually specify [--num_classes] ImageNet classes
-n --num_classes 12 number of unique classes to use
--jitter 0.5 [0-1] controls jitter of the noise vector to reduce repitition
--frame_length 512 i*2^6 number of audio frames to video frames in the output
--truncation 1 [0.1-1] BigGAN truncation parameter controls complexity of structure within frames
--smooth_factor 20 [10-30] controls interpolation between class vectors to smooth rapid flucations
--batch_size 30 BigGAN batch_size
-o --output_file name of output file stored in output/, defaults to [--song] path base_name
--use_last_vectors False set flag to use previous saved class/noise vectors
--use_last_classes False set flag to use previous classes
-l --lyrics None path to lyrics file; setting [--lyrics LYRICS] computes classes by semantic similarity under BERT encodings
Owner
Rush Kapoor
UC Berkeley CS Student with experience in full-stack web development and a keen interest in efficient, interpretable ML.
Rush Kapoor
Attention-based Transformation from Latent Features to Point Clouds (AAAI 2022)

Attention-based Transformation from Latent Features to Point Clouds This repository contains a PyTorch implementation of the paper: Attention-based Tr

12 Nov 11, 2022
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting Created by Yongming Rao*, Wenliang Zhao*, Guangyi Chen, Yansong Tang, Zheng Z

Yongming Rao 322 Dec 31, 2022
This is the implementation of our work Deep Extreme Cut (DEXTR), for object segmentation from extreme points.

This is the implementation of our work Deep Extreme Cut (DEXTR), for object segmentation from extreme points.

Sergi Caelles 828 Jan 05, 2023
Repo for "TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets" at [email protected]

TableParser Repo for "TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets" at DS3 Lab 11 Dec 13, 2022

The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.

Intermdiate layer matters - SSL The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper. Downl

Aakash Kaku 35 Sep 19, 2022
Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"

corn-ordinal-neuralnet This repository contains the orginal model code and experiment logs for the paper "Deep Neural Networks for Rank Consistent Ord

Raschka Research Group 14 Dec 27, 2022
Discord bot for notifying on github events

Git-Observer Discord bot for notifying on github events ⚠️ This bot is meant to write messages to only one channel (implementing this for multiple pro

ilu_vatar_ 0 Apr 19, 2022
Dogs classification with Deep Metric Learning using some popular losses

Tsinghua Dogs classification with Deep Metric Learning 1. Introduction Tsinghua Dogs dataset Tsinghua Dogs is a fine-grained classification dataset fo

QuocThangNguyen 45 Nov 09, 2022
Multi-Scale Progressive Fusion Network for Single Image Deraining

Multi-Scale Progressive Fusion Network for Single Image Deraining (MSPFN) This is an implementation of the MSPFN model proposed in the paper (Multi-Sc

Kuijiang 128 Nov 21, 2022
Gluon CV Toolkit

Gluon CV Toolkit | Installation | Documentation | Tutorials | GluonCV provides implementations of the state-of-the-art (SOTA) deep learning models in

Distributed (Deep) Machine Learning Community 5.4k Jan 06, 2023
Sequence-tagging using deep learning

Classification using Deep Learning Requirements PyTorch version = 1.9.1+cu111 Python version = 3.8.10 PyTorch-Lightning version = 1.4.9 Huggingface

Vineet Kumar 2 Dec 20, 2022
Data Consistency for Magnetic Resonance Imaging

Data Consistency for Magnetic Resonance Imaging Data Consistency (DC) is crucial for generalization in multi-modal MRI data and robustness in detectin

Dimitris Karkalousos 19 Dec 12, 2022
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution SmallObject Detection

QueryDet-PyTorch This repository is the official implementation of our paper: QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small O

Chenhongyi Yang 276 Dec 31, 2022
Repository for the NeurIPS 2021 paper: "Exploiting Domain-Specific Features to Enhance Domain Generalization".

meta-Domain Specific-Domain Invariant (mDSDI) Source code implementation for the paper: Manh-Ha Bui, Toan Tran, Anh Tuan Tran, Dinh Phung. "Exploiting

VinAI Research 12 Nov 25, 2022
PartImageNet is a large, high-quality dataset with part segmentation annotations

PartImageNet: A Large, High-Quality Dataset of Parts We will release our dataset and scripts soon after cleaning and approval. Introduction PartImageN

Ju He 77 Nov 30, 2022
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems

PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training fr

National Renewable Energy Laboratory 37 Dec 17, 2022
Official implementation of "Refiner: Refining Self-attention for Vision Transformers".

RefinerViT This repo is the official implementation of "Refiner: Refining Self-attention for Vision Transformers". The repo is build on top of timm an

101 Dec 29, 2022
TyXe: Pyro-based BNNs for Pytorch users

TyXe: Pyro-based BNNs for Pytorch users TyXe aims to simplify the process of turning Pytorch neural networks into Bayesian neural networks by leveragi

87 Jan 03, 2023
Neurons Dataset API - The official dataloader and visualization tools for Neurons Datasets.

Neurons Dataset API - The official dataloader and visualization tools for Neurons Datasets. Introduction We propose our dataloader API for loading and

1 Nov 19, 2021
Comp445 project - Data Communications & Computer Networks

COMP-445 Data Communications & Computer Networks Change Python version in Conda

Peng Zhao 2 Oct 03, 2022