https://github.com/valian/neural-image-upscaling
Implementation of Image Upscaling using TensorFlow
https://github.com/valian/neural-image-upscaling
jupyter-notebook neural-network tensorflow
Last synced: about 2 months ago
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Implementation of Image Upscaling using TensorFlow
- Host: GitHub
- URL: https://github.com/valian/neural-image-upscaling
- Owner: Valian
- Created: 2017-02-26T16:31:54.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-05-31T14:35:30.000Z (about 9 years ago)
- Last Synced: 2025-09-06T06:48:12.697Z (10 months ago)
- Topics: jupyter-notebook, neural-network, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 198 KB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Neural Image Upscaling
This project aims to implement Image Upscaling using Neural Networks with Python3 and TensorFlow
Currently WIP
# Running
Project is designed to run using Docker-Compose. First install it, and then type:
```
$ docker-compose up
Starting neuralimageupscaling_anakonda_1
Attaching to neuralimageupscaling_anakonda_1
anakonda_1 | Fetching package metadata .........
anakonda_1 | Solving package specifications: .
anakonda_1 |
anakonda_1 | # All requested packages already installed.
anakonda_1 | # packages in environment at /opt/conda:
anakonda_1 | #
anakonda_1 | jupyter 1.0.0 py36_3
anakonda_1 | [W 17:27:18.439 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
anakonda_1 | [I 17:27:18.444 NotebookApp] Serving notebooks from local directory: /opt/notebooks
anakonda_1 | [I 17:27:18.444 NotebookApp] 0 active kernels
anakonda_1 | [I 17:27:18.444 NotebookApp] The Jupyter Notebook is running at: http://[all ip addresses on your system]:8888/?token=f147dd59eff55fafa7a693e52d35052b69e2603cde52202c
anakonda_1 | [I 17:27:18.444 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
anakonda_1 | [C 17:27:18.445 NotebookApp]
anakonda_1 |
anakonda_1 | Copy/paste this URL into your browser when you connect for the first time,
anakonda_1 | to login with a token:
anakonda_1 | http://localhost:8888/?token=f147dd59eff55fafa7a693e52d35052b69e2603cde52202c
```
Now Jupyter notebook should be available under `localhost:8888` address.
# GPU support
You need to install [nvidia-docker](https://github.com/NVIDIA/nvidia-docker) and [nvidia-docker-compose](https://github.com/eywalker/nvidia-docker-compose) first. Then, just run:
$ nvidia-docker-compose up