![]() ![]() So to make sure I understand this, if I had an image with voxels of size 0.5x0.5x0.5 this would do some kind of nearest neighbor interpolation, doubling the size of each voxel, thus possibly reducing the resolution of the image? This is unrelatd to the max dim in each dimension. so in the example it resamples to 1x1x1 mm^3. Scale by resolution change the resolution on the image, it is not normalizing. Or is this in the PC’s RAM, and this is a sort of “paging”-like setup where the API shifts data from PC ram to the GPU’s memory (the “cache”).In the GPU’s memory? Is this an abstraction over the GPU’s limited memory?. ![]() Stores the result of deterministically transformed data.Whereas for Smart Cache, it sounds like it Are these overlapping chunks? If so, what is the overlap “increment”? 1x1x1 voxel?ĮDIT: Actually this slide seems to mention loading to memory too? Do Smart Cache and Batch by Transform both concern themselves with loading data from disk?.I.e., “process the image as a set of 64圆4圆4 chunks”. instead it just changes how the data is processed.Just to make sure I understand, it looks like FastPosNegRatioCropROI does not crop the entire 3d image to.Must have one of the batching transformations:.Sets Batched_bt_transform= true, ignores output_batch_size.Take multiple crops from same data volume as your batch.To quote the screenshot (converted to MD): BATCH BY TRANSFORMĬopy data to memory, crop, discard Batch by transform What slide deck is this from, can I download the PDF of that? It’s slide 11 of… something. It looks like the notebook uses a screenshot of a slide for “batch by transform”, maybe that explains why grep and Google didn’t find this. I ran through one of the clara-train-examples repository notebooks, but not the two you mentioned, oops. Clara train V3.1 is closed source, we have listened to this feedback and therefore we are currently moving the back end to use MONAI which is open source. ![]() it means the input size to the model, for batch and batch by transform and other parameters please refer to this notebook
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