Image Handling - Plot an Image
Is it possible to plot an image to the Results view, especially in the context of the Image Handling Extension? I know that there is an option to Store the Image to a file system, but my ask is to plot the image within the process > Results.
My use cases:
- Teaching to show an image is just a dataset. This is particularly helpful when extending the concept of data shapes outside of tabular 2D datasets.
- After fitting an image classification model, it would be nice to be able to review the predicted labels (e.g. MNIST) with the actual image classified for visual inspection. Perhaps a 3 was misclassified as a 9, and this feature would allow us to visually review how these networks learn (or fail).
My use cases:
- Teaching to show an image is just a dataset. This is particularly helpful when extending the concept of data shapes outside of tabular 2D datasets.
- After fitting an image classification model, it would be nice to be able to review the predicted labels (e.g. MNIST) with the actual image classified for visual inspection. Perhaps a 3 was misclassified as a 9, and this feature would allow us to visually review how these networks learn (or fail).
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Thanks! I didn't think about Read Image as ExampleSet, and that is a nice hack. With that said, I am not 100% certain I follow the flow above. Any chance you could diagram that out?
Also, when using Read Image As ExampleSet, it doesn't appear that we can do any image pre-processing unless I am missing a Tensor to ExampleSet conversion operator. For example my images need to be rotated.
Thanks again. I am trying to map how I do certain tasks in python within RM (either base or Extensions) and avoid using Execute Python as much as possible.
Also, when using Read Image As ExampleSet, it doesn't appear that we can do any image pre-processing unless I am missing a Tensor to ExampleSet conversion operator. For example my images need to be rotated.
Thanks again. I am trying to map how I do certain tasks in python within RM (either base or Extensions) and avoid using Execute Python as much as possible.
Hi @btibert,
please find attached an image of sample process for MNIST dataset.
1- Inside to the Pre-Process Image operator you can create a flows with operators for image preprocessing: crop, rotate, flip, resize.
2- To be able to compare the the predicted label and the current label, I use to joint the Exa output of the Perform Operator with a copy of the outuput of the Read Image Metadata Operator used for testing dataset.
I hope you find this flow clearest than the previous one.
Best,
Cesar
Best,
Cesar
Thank you
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Hi @btibert,
please find attached an image of sample process for MNIST dataset.
1- Inside to the Pre-Process Image operator you can create a flows with operators for image preprocessing: crop, rotate, flip, resize.
2- To be able to compare the the predicted label and the current label, I use to joint the Exa output of the Perform Operator with a copy of the outuput of the Read Image Metadata Operator used for testing dataset.
I hope you find this flow clearest than the previous one.
Best,
Cesar
Best,
Cesar
Best,
Cesar