mindfultensors 0.0.1

# mindfultensors Dataloader that serves MRI images from a mogodb.

The main idea is to keep MRI images and corresponding training labels for segmentation tasks in a mongo database. However, each <img src=”https://render.githubusercontent.com/render/math?math=256^3”> 3D MRI tensor even in 8 bit precision is 16Mb. mongo’s records cannot be larger than this limit and we need to also store the labels of the same dimensions. mindfultensors fetches and aggregates each <img src=”https://render.githubusercontent.com/render/math?math=256^3”> tensor stored across multiple records, together with corresponding labels either for gray and white matter, 104 regions atlas, volume of each of 104 ROIs, or a 50 region atlas.

# installation

Eventually, the package will be placed on pypy, but for now, first clone the repo: ` git clone git@github.com:neuroneural/mindfultensors.git ` Then change directory to the newly cloned repository: ` cd mindfultensors ` And install locally by ` pip intall -e . ` # usage A detailed example of how to create a dataloader using provided dataset class and the corresponding tools is in scripts/usage_example.py

Do not forget to move the batches to the GPU once obtained.