Datastore Mask R-CNN for kidney segmentation
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I have
- several CT images 512x512 with normalized values between 0 and 1. Basically 2dimensional black white images
- Kidney labels for each images with 0 or 1
- for each image 2 boxes with x,y,height, width (for each kidney of the human)
- and the labels I could generate (always 'kidney' I guess?)
How do I generate a datastore to train the network, as described here under "Create Datastore":
They convert it somehow from some MAT files with some custom function, hence I do not know how to assemble my own training data into a data store
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Prince Kumar
2022-4-6
Hi,
Please read the "Create Datastore that Reads Data" section from the following documentation.
Hope this helps!
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Prince Kumar
2022-4-7
I think you are not preparing the data properly.
Then try to create combine the image datastore and box label datastore.
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