https://github.com/bytedance/paws_room_acoustics_simulator

https://github.com/bytedance/paws_room_acoustics_simulator

Science Score: 26.0%

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  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
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  • Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary

Keywords

research
Last synced: 11 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: bytedance
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 993 KB
Statistics
  • Stars: 3
  • Watchers: 3
  • Forks: 1
  • Open Issues: 1
  • Releases: 0
Topics
research
Created almost 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

A pipeline for generating acoustic pressure data

This is the codes for the data generation of PAWS-Dataset, which is a dataset for room acoustic simulation based on wave acoustics simulation. We provide a sample pipeline in pipeline.py, you may use it to give it a try on making your own data

1. Install dependencies

```bash

Install Python environment.

conda create --name PAWS python=3.9

Activate environment.

conda activate PAWS

Install Python packages dependencies.

pip install -r requirement.txt ```

2. Give it a try

You may directly run our pipeline.py file, this would generate a 256*256 shoebox data with 10000 frames. By commenting and uncommenting code for the scene generation part, you can generate polygon room data, too. Please note that the first run will take relevantly lone time because the code will download the executable file of the solver.

The generated file looks like this, you can check the image file for environment definition and mp4 file for the outcome.

generated_data ├── image_file ├── mp4_file └── metadata

We also provided a user example in example.ipynb.

3. License

The PAWS Project is under the MIT license

Owner

  • Name: Bytedance Inc.
  • Login: bytedance
  • Kind: organization
  • Location: Singapore

GitHub Events

Total
  • Watch event: 1
  • Push event: 2
  • Pull request event: 6
  • Pull request review event: 2
Last Year
  • Watch event: 1
  • Push event: 2
  • Pull request event: 6
  • Pull request review event: 2

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 28
  • Total Committers: 3
  • Avg Commits per committer: 9.333
  • Development Distribution Score (DDS): 0.107
Past Year
  • Commits: 28
  • Committers: 3
  • Avg Commits per committer: 9.333
  • Development Distribution Score (DDS): 0.107
Top Committers
Name Email Commits
Tamamo0v0 7****6@q****m 25
yexuzhou y****u@b****m 2
Willem Jiang 1****d 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 7
  • Average time to close issues: N/A
  • Average time to close pull requests: 5 days
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 7
  • Average time to close issues: N/A
  • Average time to close pull requests: 5 days
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • Tamamo0v0 (8)
  • xuzhouye (2)
Top Labels
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Dependencies

requirement.txt pypi
  • h5py *
  • k-wave-python *
  • matplotlib *
  • opencv-python *
  • tqdm *