MiniContourFinder
Lightweight image segmentation software for biological images
Full documentation can be found on Read the Docs.
Image segmentation has become a common task throughout biological and biomedical sciences. Despite the growth in image use, much of image analysis is still done manually, which frequently causes a bottleneck in data collection. MiniContourFinder is a lightweight image segmentation tool built in Python with OpenCV. MiniContourFinder was designed to allow users with minimal command line experience or image processing expertise to generate accurate and reproducible segmentations.
Availability and implementation
MiniContourFinder is free and open-source software available under the GNU General Public License v3.0. MiniContourFinder can be installed via Python package installer pip, the Conda package management system, or the source code above.
Metadata
Release files for MiniContourFinder 1.0.19
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| MiniContourFinder-1.0.19.tar.gz | 35.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| MiniContourFinder-1.0.19-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 84.6 kB
Release files / MiniContourFinder-1.0.19.tar.gz
| Download URL | MiniContourFinder-1.0.19.tar.gz |
|---|---|
| Size | 35.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.5.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.10
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Release files / MiniContourFinder-1.0.19-py3-none-any.whl
| Download URL | MiniContourFinder-1.0.19-py3-none-any.whl |
|---|---|
| Size | 49.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.5.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.10
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