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a collection of assorted algorithms expressed in Tensors. Dev package that pushes on green from master.
Readme
TensorBank is a collection of assorted algorithms expressed in Tensors.
We do not intend to limit ourselves to a specific domain. The initial batch of algorithms is focused on point and box gemoetry for some object detection tasks, but more algorithms will be added later.
We are open to all backends, including Tensorflow, Pytorch, and NumPy.
Primarily, this project is to avoid copy-pasting the "utils" directory from one project to the next :-)
$ pip install tensorbank
If you're using TensorFlow, import TensorBank as follows and use the tb.
prefix:
import tensorbank.tf as tb
tb.axis_aligned_boxes.area(
[[1, 1, 2, 2],
[-1, -1, 1, 2]])
>>> tf.Tensor([1 6], shape=(2,), dtype=int32)
See API Reference on Readthedocs for the full list of the algorithms offered and comprehensive usage examples.
If you want to install the push-on-green development version, do this instead:
$ pip install tensorbank-dev
FAQs
a collection of assorted algorithms expressed in Tensors. Dev package that pushes on green from master.
We found that tensorbank-dev demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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