
Security News
MCP Community Begins Work on Official MCP Metaregistry
The MCP community is launching an official registry to standardize AI tool discovery and let agents dynamically find and install MCP servers.
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.
pip install torch-cryoeraser
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.
FAQs
Erase masked regions from cryo-EM images
We found that torch-cryoeraser 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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
The MCP community is launching an official registry to standardize AI tool discovery and let agents dynamically find and install MCP servers.
Research
Security News
Socket uncovers an npm Trojan stealing crypto wallets and BullX credentials via obfuscated code and Telegram exfiltration.
Research
Security News
Malicious npm packages posing as developer tools target macOS Cursor IDE users, stealing credentials and modifying files to gain persistent backdoor access.