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Autoencoder for image compression

License: Other

Jupyter Notebook 100.00%
deep-learning image-compression image-processing jupyter-notebook python research-project

autoencoder_for_image_compression's Introduction

Autoencoder for image compression

Domain : medical image compression

project requirement

  1. core Backend Language : python3.8
  2. core Backend frameworks/packages : Tensorflow, Keras, scikit-learn , numpy, pandas, matplotlib, seaborn, opencv, pillow etc.
  3. Tools | IDE - data science : Jupyter Notebook , Other : Pycharm | Text Editor : VS Code | online : kaggle, google colab
  4. version control system : git | remote-repository-platform : github.com

requirements

before use the codes make sure requirements are installed in your workspace.
get requirements list

pip install -r requirements.txt

upstream the local repository with remote repository

git remote add upstream https://github.com/tirtharajsinha/Autoencoder_for_image_compression.git
git fetch upstream
git checkout main
git merge upstream/main

reset repo

git reset --hard origin/main

importent Links

  1. kaggle - visit
  2. google colab - visit
  3. python.org - visit
  4. pypi.org - visit
  5. tensorflow.org - visit
  6. opencv docs - visit
  7. django docs - visit
  8. pythonanywhere - visit

other notes

  1. use it in virtual environment(anaconda/virtualenv) to get get rid of GPU related worning/error

By Tirtharaj Sinha(@tirtharajsinha)

autoencoder_for_image_compression's People

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