zineos/image-analyze-workers

The zoo of image processing webworkers for javascript or typescript.

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.

Webworkers

• Webworkers
  • bodypix
    • installation and usage
    • demo
  • facemesh
    • installation and usage
    • demo
  • asciiart
    • installation and usage
    • demo
  • opencv
    • installation and usage
    • demo
  • PoseNet
    • installation and usage
    • demo
  • HandPose
    • installation and usage
    • demo
  • White-Box-Cartoon
    • installation and usage
    • demo
    • License
    • Citation
  • BiseNetv2 Celeb A Mask
    • installation and usage
    • demo
    • reference
  • U^2-Net Portrait Drawing
    • installation and usage
    • demo
  • MODNet
    • installation and usage
    • demo
    • Licnece
  • Google meet person segmentation
    • installation and usage
    • demo
  • Google meet person segmentation(TFLite)
    • installation and usage
    • demo
  • Multi Barcode Scanner
    • installation and usage
    • demo
    • demo(movie)
    • Licnece
  • Super Resolution
    • installation and usage
    • demo
• TFLite Wasm
  • Google meet person segmentation(TFLite wasm)
    • demo
  • White-Box-Cartoon(TFLite wasm)
    • demo
    • License
  • ESPCN (TFLite wasm)
    • demo
• Libs
  • FaceSwap
    • demo
• Experiments
  • Exp.1 Multi-version based tfjs model
    • demo
    • src
    • Citation
  • Exp.2 Performance improvement
    • demo
    • src
    • Citation
• Reference

bodypix

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t01_bodypix/index.html

facemesh

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t02_facemesh/index.html

asciiart

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t03_asciiart/index.html

opencv

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t04_opencv/index.html

PoseNet

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t05_posenet/index.html

HandPose

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t06_handpose/index.html

White-Box-Cartoon

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t07_white-box-cartoonization/index.html

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

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

• Cartoonize your video on your browser
• ブラウザ上で画像をアニメ化する。

BiseNetv2 Celeb A Mask

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t08_bisenetv2-celebamask/index.html

reference

Enable arbitry resolution

U^2-Net Portrait Drawing

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t09_u2net-portrait/index.html

MODNet

installation and usage

See here

demo

Note: Very heavy processing to open.

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t10_modnet/index.html

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

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t11_googlemeet-segmentation/index.html

Google meet person segmentation(TFLite)

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t11a_googlemeet-segmentation-tflite/index.html

Multi Barcode Scanner

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t12_barcode-scanner/index.html

demo(movie)

• Pixel3 https://youtu.be/IrPLMUuWaJk

• Pixel4 https://youtu.be/Xxz1hFUAnKk

Licnece

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

Super Resolution

installation and usage

See here

demo

https://flect-lab-web.s3-us-west-2.amazonaws.com/P01_wokers/t13_super-resolution/index.html

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

• Faceswap and Virtual Background on your brower

• ブラウザ上で顔入れ替えと背景入れ替えをするアプリを作った。

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