This is a Jupyter notebook containing a deep learning project about Generative Adversarial Network, namely CycleGAN. The objective is to generate images of certain style using syntethically generated data as an input.
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Clone the repository and navigate to the downloaded folder.
git clone https://github.com/amyllykoski/CycleGAN cd CycleGAN -
Use your own dataset (trainA, trainB, testA, testB) as outlined in https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
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Make sure you have already installed the necessary Python packages like so:
pip install -r requirements.txt
Open a terminal window and navigate to the project folder. Open the notebook and follow the instructions.
jupyter notebook .
Adapting support for point cloud CNN from
https://github.com/romaintha/pytorch_pointnet
https://www.qwertee.io/blog/deep-learning-with-point-clouds/
https://arxiv.org/pdf/1612.00593.pdf
The objective is to see if CycleGAN can be adapted to work with point cloud based (depth) images.