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DeployableImage-to-Image Translation or Transformation
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By IBM Developer Staff | Updated September 21, 2018 - Published July 12, 2018
Artificial intelligenceDeep learningImage-to-Image Translation or Transformation
This model is a Generative Adversarial Network (GAN) that was trained by the IBM CODAIT Team on COCO dataset images converted to grayscale and produces colored images. The input to the model is a grayscale image (jpeg or png), and the output is a colored 256 by 256 image (increased resolution will be added in future releases). The model is based on Christopher Hesse’s Tensorflow implementation of the pix2pix model.
docker run -it -p 5000:5000 codait/max-image-colorizer
kubectl apply -f https://raw.githubusercontent.com/IBM/MAX-Image-Colorizer/master/max-image-colorizer.yaml
Once deployed you can upload an image using the UI:
You can also test the model from the command line. For example:
curl -F "image=@samples/bw-city.jpg" -XPOST http://localhost:5000/model/predict > result.png && open result.png
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