Bringing Computer Vision and Flutter together , to build an awesome app !!

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Deep Learning Illicit-Illustrations
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Bringing Computer Vision and Flutter together , to build an awesome app !!

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Flutter · Machine Learning

Table of Contents
  1. About The Project
  2. Getting Started
  3. Roadmap
  4. Contributing
  5. Contact

About The Project

This project is an app for recreating the beauty captured by your mobile device through the eyes of the greatest artists of the world !! We are using GAN models to create filters that can reconstruct the artistic style of the great painters !!

Link to APK : https://drive.google.com/file/d/1q5FWZqEMPLAJkh9COB6UFDOF7KHqi5kU/view?usp=sharing

Built With

Technologies used are : dart flutter tf keras

App View

Original Output Original Output

Getting Started

This project has been categorized into two parts - Machine Learning and Flutter.

  • Machine Learning - This part deals with Computer Vision and GANs.
  • Flutter - This part deals with developing the app using flutter framework.

Roadmap

See the open issues for a list of Projects you can work on (and learn).

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. Your contributions would help other beginners !!

  1. Fork the Project
  2. In the command terminal, run the following commands:
    $ git clone https://github.com/{your username}/Illicit-Illustrations
    $ cd Illicit_Illustrations/
  1. Make the changes and add the features to the domains you want to work on
  2. Commit your Changes ( git commit -m 'Add the Project' )
  3. Push to the Branch ( git push --all )
  4. Open a Pull Request

Contact

Mail us at - gmail

Comments
  • Image being rotated in some devices

    Image being rotated in some devices

    The image is being rotated in some devices on running it against the tflite model.

    The original image is in correct orientation. But once it is processed using the tflite.pix2pix function, the orientation of the output image is being rotated.

    JWOC 🤩 Up for Grab hard Flutter 
    opened by ayush-150101 4
  • Ukiyo-e filter - Krishna

    Ukiyo-e filter - Krishna

    I added a Ukiyo-e filter following the steps in the README and generated the necessary assets as well using the given code and cycle_gan/ukiyoe2photo dataset

    invalid 
    opened by krishnagajjala 4
  • Added Ukiyoe

    Added Ukiyoe

    Issue #3

    Added a new folder Ukiyoe under Machine Learning folder

    • Added note book CycleGAN_ukiyoe.ipynb, and downloaded the saved model that generates UKIYOE style pictures
    • Converted the model to TFLite using Convert_to_Tflite.ipynb
    • Saved the model generated and Tflite file in Assets folder
    JWOC easy 
    opened by snkt0809 1
  • Added Monet

    Added Monet

    Issue #3

    Added a new folder Monet under Machine Learning folder

    • Added note book CycleGAN_monet.ipynb, and downloaded the saved model that generates MONET style pictures
    • Converted the model to TFLite using Convert_to_Tflite.ipynb
    • Saved the model generated and Tflite file in Assets folder
    JWOC easy 
    opened by snkt0809 1
  • Setup actions workflow

    Setup actions workflow

    Setup GitHub actions workflow to automatically test the code on every pull request and make a release on every tag. In this way, it will be easier to find potential bugs before the code review.

    Tasks:

    • [x] Set up a workflow to run unit and integration tests on PR.
    • [x] Set up a workflow to distribute apk/ipa 's on each tag.
    JWOC medium 
    opened by asimbera 1
  • Tinker models to generate better filters

    Tinker models to generate better filters

    Change the Model to generate better results. Adding and deletion of layers , changing hyper parameters , and also saving best model and implementing early stopping to prevent saving over fitted model.

    JWOC 🤩 Up for Grab hard Machine Learning 
    opened by BlueBlaze6335 2
  • Add more filters

    Add more filters

    You can use this notebook to generate new filters.

    Change the dataset name @ cell 5 -

    dataset, metadata = tfds.load('cycle_gan/vangogh2photo',
                              with_info=True, as_supervised=True,try_gcs=True)

train_normal, train_van = dataset['trainB'], dataset['trainA']
test_normal, test_van = dataset['testB'], dataset['testA']

    In the above code snippet change the vangogh2photo to other datasets present here.

    Note - The runtime should be GPU and you can decrease the epochs to a range of 20-50

    good first issue JWOC easy Machine Learning 
    opened by BlueBlaze6335 9
Owner
Padmanabha Banerjee
I am deeply into learning !
Padmanabha Banerjee
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