Skip to main content

torch-cryoeraser

License PyPI Python Version CI codecov

torch-cryoeraser is a Python package for erasing local regions of cryo-EM images.

result of using torch-cryoeraser

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.

Metadata

Release files for torch-cryoeraser 0.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for torch-cryoeraser 0.6.0
File Size Uploaded
torch_cryoeraser-0.6.0.tar.gz 127.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for torch-cryoeraser 0.6.0
File Interpreter ABI Platform
torch_cryoeraser-0.6.0-py3-none-any.whl Python 3 none any Details

Total release size: 134.6 kB

Release files / torch_cryoeraser-0.6.0.tar.gz

Download URL torch_cryoeraser-0.6.0.tar.gz
Size 127.8 kB
Tags Source
SHA-256 checksum
How to use checksums
e5d7f9326b9dbb33f18f7a5c221baf38179265b5582bdd9ca8d7259b22e6f9d4
BLAKE2b-256 checksum
How to use checksums
648248d38dad2d4d4128a64248a2d09e9d88f0710264801275829ae5eb0a340a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 11, 2026.

Transparency log

Release files / torch_cryoeraser-0.6.0-py3-none-any.whl

Download URL torch_cryoeraser-0.6.0-py3-none-any.whl
Size 6.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fff9c5e3f8fb2b458d9ca202df4cdb1594fc59a37cf4ddb75505723bbb893494
BLAKE2b-256 checksum
How to use checksums
413fefc807811dce11cd18404a50c7de3154102ee28b5ceb7ba20c1e11e247bf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 11, 2026.

Transparency log
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page