This release is a pre-release and may not be stable for production use.
torch-cryoeraser
torch-cryoeraser is a Python package for erasing local regions of cryo-EM images.
Image data in masked regions are replaced with noise matching local image statistics.
Installation
pip install torch-cryoeraser
Usage
import torch
import tifffile
from torch_cryoeraser import erase_region_2d
# load image and mask
image = tifffile.imread("image.tif")
mask = tifffile.imread("mask.tif")
# to torch tensor
image = torch.tensor(image)
mask = torch.tensor(mask)
# erase masked regions
erased_image = erase_region_2d(image=image, mask=mask)
for more info, please check the documentation.
4 maintainers
Metadata
4 maintainers
Release files for torch-cryoeraser 0.6.0rc2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| torch_cryoeraser-0.6.0rc2.tar.gz | 127.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_cryoeraser-0.6.0rc2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 134.7 kB
Release files / torch_cryoeraser-0.6.0rc2.tar.gz
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| Size | 6.8 kB |
| Tags | Python 3 |
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