https://github.com/amazon-science/common-fate-fishbowl
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (8.4%) to scientific vocabulary
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Repository
Basic Info
- Host: GitHub
- Owner: amazon-science
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 119 KB
Statistics
- Stars: 3
- Watchers: 6
- Forks: 0
- Open Issues: 3
- Releases: 0
Metadata Files
README.md
AquariumDataset
Synthetic video segmentation dataset used for object-centric representation learning.
This repository contains the code used to create the dataset. A link to the final dataset will be included once created.
Installation
Download the following folders from the WebGLSamples repository https://github.com/WebGLSamples/WebGLSamples.github.io.
aquarium
jquery-ui-1.8.2.custom
khronos
tdl
Put them in the basedir of this repository. Now apply the patch to the files in the aquarium folder.
bash
git apply aquarium/patch
Now install the dependencies.
bash
npm install
Usage
To run the aquarium, use a static webserver to serve from the repositories root directory and point your web browser to the respective url:
http-server .
To record a dataset, you have to
Generate a set of random sample configurations:
node generate_random_aquarium_configs.js <path> <count>Start workers to record the samples:
node server.js <path>You can start multiple workers for the same sample set. Once finished, the recorded datasets is located at<path>/final.
Original license
This work is adapted from a WebGL demo obtained from GitHub. The original demo is licensed under the 3-clause BSD license, a copy of which is included as THIRDPARTYLICENSE.md.
Owner
- Name: Amazon Science
- Login: amazon-science
- Kind: organization
- Website: https://amazon.science
- Twitter: AmazonScience
- Repositories: 80
- Profile: https://github.com/amazon-science
GitHub Events
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Top Committers
| Name | Commits | |
|---|---|---|
| dependabot[bot] | 4****] | 6 |
| Peter Gehler | p****r@a****m | 4 |
| Amazon GitHub Automation | 5****o | 1 |
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- dependabot[bot] (2)