Skip to content

The zoo of image processing webworkers for javascript or typescript.

Notifications You must be signed in to change notification settings

w-okada/image-analyze-workers

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This repository is the zoo of image processing webworkers for javascript. You can use these workers as npm package.

Note. some module is not provided as webworker for safari because of it's restriction.

Buy Me A Coffee

Webworkers

bodypix

image

installation and usage

See here

demo

demo demo(slow)

facemesh

image

out2.mp4

installation and usage

See here

demo

demo demo(slow)

asciiart

image

installation and usage

See here

demo

demo demo(slow)

opencv

image

installation and usage

See here

demo

demo demo(slow)

PoseNet

image

installation and usage

See here

demo

demo demo(slow)

HandPose

image

installation and usage

See here

demo

demo demo(slow)

White-Box-Cartoon

image

installation and usage

See here

demo

Note: very heavy process. It will take 40second or more to process one frame. be patient... demo demo(slow)

License

White-box CartoonGAN

Copyright (C) Xinrui Wang All rights reserved. Licensed under the CC BY-NC-SA 4.0
license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
Commercial application is prohibited, please remain this license if you clone this repo

Citation

BiseNetv2 Celeb A Mask

image

installation and usage

See here

demo

demo demo(slow)

reference

Enable arbitry resolution

U^2-Net Portrait Drawing

image

image

installation and usage

See here

demo

demo demo(slow)

MODNet

image

installation and usage

See here

demo

Note: Very heavy processing to open.

demo demo(slow)

Licnece

This project (code, pre-trained models, demos, etc.) is released under the Creative Commons Attribution NonCommercial ShareAlike 4.0 license.

NOTE: The license will be changed to allow commercial use after this work is accepted by a conference or a journal.

Google meet person segmentation

image

installation and usage

See here

demo

all all(slow) 96x160 96x160(slow) 128x128 128x128(slow) 144x256 144x256(slow) 256x256 256x256(slow)

Multi Barcode Scanner

image

installation and usage

See here

demo

demo demo(slow)

demo(movie)

Licnece

This project (code, pre-trained models, demos, etc.) is released under the Creative Commons Attribution NonCommercial ShareAlike 4.0 license.

Super Resolution

image

installation and usage

See here

demo

demo demo(slow)

Blazeface

image image

installation and usage

See here

demo

demo demo(slow)

MediaPipe Hands

image

installation and usage

See here

demo

all all(slow) lite lite(slow) full full(slow) mediapipe mediapipe(slow) tfjs tfjs(slow)

MediaPipe Face landmark detection

image

installation and usage

See here

demo

all all(slow) short short(slow) short_with_attention short_with_attention(slow) full full(slow) full_with_attention full_with_attention(slow) mediapipe mediapipe(slow) tfjs tfjs(slow)

MediaPipe BlazePose

image

installation and usage

See here

demo

all all(slow) lite lite(slow) full full(slow) heavy heavy(slow) mediapipe mediapipe(slow) tfjs tfjs(slow)

MediaPipe Mix

Compose Mediapipe models(hand, face, pose). This module bundles whole models in one file. If you want to split them, use MediaPipe Mix2.

installation and usage

See here

demo

all all(slow)

MediaPipe Mix2

image

Compose Mediapipe models(hand, face, pose) version2. This module load models from external path. This requires some of skills. If you want to use simply, use MediaPipe Mix.

installation and usage

See here

demo

all all(slow)

TFLite Wasm

Google meet person segmentation(TFLite wasm)

see here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/tfl001_google-meet-segmentation/index.html

Added Selfie Segmentationmodelcard

White-Box-Cartoon(TFLite wasm)

see here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/tfl002_white-box-cartoonization/index.html

License

White-box CartoonGAN

Copyright (C) Xinrui Wang All rights reserved. Licensed under the CC BY-NC-SA 4.0
license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
Commercial application is prohibited, please remain this license if you clone this repo

ESPCN (TFLite wasm)

see here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/tfl004_super_resolution/index.html

Libs

FaceSwap

Faceswap by using facemesh worker

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/lib001_faceswap/index.html

Experiments

Exp.1 Multi-version based tfjs model

With webworker, we can use models which based on the differenct tfjs models.

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/exp01_multi-worker-performance/index.html

src

here

Citation

Exp.2 Performance improvement

With webworker, we can improve performance when we use multiple models.

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/exp02_multi-worker-performance_sub/index.html

src

src

Citation

  • Same as Exp.1

Reference

This repository was inspired by this site.

https://github.com/terryky/tfjs_webgl_app

Demo images are from pakutaso

http://www.pakutaso.com

About

The zoo of image processing webworkers for javascript or typescript.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published