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https://github.com/williamFalcon/pix2pix-keras
Image-to-Image Translation with Conditional Adversarial Networks (Pix2pix) implementation in keras
https://github.com/williamFalcon/pix2pix-keras
Last synced: about 1 month ago
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Image-to-Image Translation with Conditional Adversarial Networks (Pix2pix) implementation in keras
- Host: GitHub
- URL: https://github.com/williamFalcon/pix2pix-keras
- Owner: williamFalcon
- License: mit
- Created: 2017-02-23T16:28:20.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-03-27T02:16:16.000Z (about 7 years ago)
- Last Synced: 2024-01-28T18:24:25.886Z (4 months ago)
- Language: Python
- Homepage:
- Size: 227 KB
- Stars: 141
- Watchers: 12
- Forks: 49
- Open Issues: 4
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Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- AI - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learnings - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning-library - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-advanced-metering-infrastructure - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
- awesome-machine-learning - Image-to-Image Translation with Conditional Adversarial Networks - Implementation of image to image (pix2pix) translation from the paper by [isola et al](https://arxiv.org/pdf/1611.07004.pdf).[DEEP LEARNING] (Python / General-Purpose Machine Learning)
README
# pix2pix-keras
Pix2pix implementation in keras.Original paper: [Image-to-Image Translation with Conditional Adversarial Networks (pix2pix)](https://arxiv.org/pdf/1611.07004.pdf)
Paper Authors and Researchers: Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros### To run
```bash
# clone repo and step into root dir
git clone https://github.com/williamFalcon/pix2pix-keras.git
cd pix2pix-keras/pix2pix# download facades dataset
python utils/facades_dataset.py# setup conda(or virtual env)
conda create -n pix python=3.4
source activate pix# install requirements
pip install requirements.txt# start training
python main.py
```### About this implementation
A full write-up about this implementation is available at my blog [https://www.williamfalcon.com/deeplearningimplementations/pix2pix-keras](https://www.williamfalcon.com/deeplearningimplementations/pix2pix-keras)