https://github.com/tirtharajsinha/autoencoder_for_image_compression
Autoencoder for image compression
https://github.com/tirtharajsinha/autoencoder_for_image_compression
deep-learning image-compression image-processing jupyter-notebook python research-project
Last synced: about 1 month ago
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Autoencoder for image compression
- Host: GitHub
- URL: https://github.com/tirtharajsinha/autoencoder_for_image_compression
- Owner: tirtharajsinha
- License: other
- Created: 2022-03-25T19:06:01.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-06-04T09:27:46.000Z (about 3 years ago)
- Last Synced: 2025-10-11T11:38:04.358Z (9 months ago)
- Topics: deep-learning, image-compression, image-processing, jupyter-notebook, python, research-project
- Language: Jupyter Notebook
- Homepage:
- Size: 29.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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](requirements.txt)
```
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](https://www.kaggle.com)
2. google colab - [visit](https://colab.research.google.com/notebooks/intro.ipynb)
3. python.org - [visit](https://www.python.org/downloads/)
4. pypi.org - [visit](https://pypi.org/)
5. tensorflow.org - [visit](https://www.tensorflow.org/)
6. opencv docs - [visit](https://docs.opencv.org/master/d6/d00/tutorial_py_root.html)
7. django docs - [visit](https://docs.djangoproject.com/)
8. pythonanywhere - [visit](https://www.pythonanywhere.com/)
## other notes
1. use it in virtual environment(anaconda/virtualenv) to get get rid of GPU related worning/error
### By Tirtharaj Sinha([@tirtharajsinha](https://github.com/tirtharajsinha))