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10 npm Typosquatted Packages Deploy Multi-Stage Credential Harvester
Socket researchers found 10 typosquatted npm packages that auto-run on install, show fake CAPTCHAs, fingerprint by IP, and deploy a credential stealer.
cuCIM - an extensible toolkit designed to provide GPU accelerated I/O, computer vision & image processing primitives for N-Dimensional images with a focus on biomedical imaging.
Β cuCIMRAPIDS cuCIM is an open-source, accelerated computer vision and image processing software library for multidimensional images used in biomedical, geospatial, material and life science, and remote sensing use cases.
cuCIM offers:
cuCIM supports the following formats:
NOTE: For the latest stable README.md ensure you are on the main branch.
Blogs
Webinars
Release notes are available on our wiki page.
conda create -n cucim -c rapidsai -c conda-forge cucim cudatoolkit=
<CUDA version>
<CUDA version> should be 11.0+ (e.g., 11.0, 11.2, etc.)
conda create -n cucim -c rapidsai-nightly -c conda-forge cucim cudatoolkit=
<CUDA version>
<CUDA version> should be 11.0+ (e.g., 11.0, 11.2, etc)
pip install cucim
# Install dependencies for `cucim.skimage` (assuming that CUDA 11.0 is used for CuPy)
pip install scipy scikit-image cupy-cuda110
Please check out our Welcome notebook (NBViewer)
To download images used in the notebooks, please execute the following commands from the repository root folder to copy sample input images into notebooks/input folder:
(You will need Docker installed in your system)
./run download_testdata
or
mkdir -p notebooks/input
tmp_id=$(docker create gigony/svs-testdata:little-big)
docker cp $tmp_id:/input notebooks
docker rm -v ${tmp_id}
See build instructions.
Contributions to cuCIM are more than welcome! Please review the CONTRIBUTING.md file for information on how to contribute code and issues to the project.
Without awesome third-party open source software, this project wouldn't exist.
Please find LICENSE-3rdparty.md to see which third-party open source software is used in this project.
Apache-2.0 License (see LICENSE file).
Copyright (c) 2020-2022, NVIDIA CORPORATION.
copy-pr-bot (#606) @ajschmidt8random_state argument of medial_axis and unsupervised_wiener is now deprecated and will be removed in the future. The new argument name, seed, should be used instead. (#573) @grlee77cucim.skimage.color.get_xyz_coords has been renamed cucim.skimage.color.xyz_tristimulus_values. The former function name is deprecated and will be removed in the future. (#573) @grlee77_get_manders_overlap_coeff (#578) @jakirkhamcucim.skimage.segmentation.chan_vese. This fix may result in different output from previous versions. (#573) @grlee77_invariant_denoise has been renamed denoise_invariant and is now part of the public cucim.skimage.restoration API (#573) @grlee77return_mapping option was added to cucim.skimage.segmentation.join_segmentations. This provides an additional output with a mapping between the labels in the joined segmentation and the original ones. (#573) @grlee77libwebp-base (#579) @jakirkhamreturn_error='always' behavior in phase_cross_correlation (#549) @grlee77libcufile (#548) @jakirkhamrun build_package (#553) @grlee77AWS_SESSION_TOKEN and SCCACHE_S3_USE_SSL vars to conda build (#525) @ajschmidt8resize and other transforms (#516) @grlee77conda recipe (#497) @ajschmidt8isort version to 5.12.0 (#492) @ajschmidt8numpy version specifier (#480) @ajschmidt811.8 and Python 3.10 Packages (#476) @ajschmidt8hessian_matrix_* and structure_tensor_eigvals via analytical eigenvalues for the 3D case (#434) @grlee77sampling kwarg for distance_transform_edt (take pixel/voxel sizes into account) (#407) @grlee77__init__.py in cucim.core (#359) @jakirkhamcustom.js (#383) @galipremsagarnormalize_colors_pca (#327) @grlee77filters and features benchmarks (v2) (#322) @grlee77cucim.skimage.segmentation.clear_border function (#267) @grlee77cucim.core.operations.color.stain_extraction_pca and cucim.core.operations.color.normalize_colors_pca for digital pathology H&E stain extraction and normalization (#273) @grlee77, @drbehops-bot functionality (#239) @ajschmidt8.github/ops-bot.yaml config file (#236) @ajschmidt8device='cuda' parameter is used in read_region method).conda recipes for Enhanced Compatibility effort by (#164) [@ajschmidt8](https://github.com/ajschmidt8](https://github.com/ajschmidt8))branch-21.12 (#156) [@ajschmidt8](https://github.com/ajschmidt8](https://github.com/ajschmidt8))isort hook to 5.6.4 (#73) @charlesbluca21.08 forward-merge conflicts (#57) @ajschmidt8update-version.sh (#42) @ajschmidt8cuda_version (#43) @ajschmidt8FAQs
cuCIM - an extensible toolkit designed to provide GPU accelerated I/O, computer vision & image processing primitives for N-Dimensional images with a focus on biomedical imaging.
We found that cucim demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.Β It has 4 open source maintainers collaborating on the project.
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