This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Reason given by maintainers: use dlsia instead
pyMSDtorch provides easy access to a number of segmentation and denoising methods using convolution neural networks. The tools available are build for microscopy and synchrotron-imaging/scattering data in mind, but can be used elsewhere as well.
The easiest way to start playing with the code is to install pyMSDtorch and perform denoising/segmenting using custom neural networks in our tutorial notebooks located in the pyMSDtorch/tutorials folder.
Check the readthedocs page or the README.md file for more information.
History
0.1.0 (2021-08-10)
First release.
0.1.1 (2022-11-28)
Second release
getting ready for ‘pip install pyMSDtorch’
added docstrings as much as we can
building template notebooks
0.1.2-6 (2022-12-15)
Second release - but now for real
Ready for ‘pip install pyMSDtorch’
Documentation update
Added notebooks and functionality for image classification
1 maintainer
Release files for pyMSDtorch 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyMSDtorch-0.1.6.tar.gz | 278.7 kB | Details |
Release files / pyMSDtorch-0.1.6.tar.gz
| Download URL | pyMSDtorch-0.1.6.tar.gz |
|---|---|
| Size | 278.7 kB |
| Tags | Source |
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