SlideRunner dataAccess
This is the dataaccess auxilliary package for SlideRunner, an open source microscopy (and, actually, many other image formats) annotation tool.
Since the SlideRunner database format and the slide wrapper are used in other packages as well, we split it up.
Requirements:
- openslide-python>=1.1.1
- opencv-python>=3.1.0
- nibabel>=3.1.1
- matplotlib>=2.0.0
- numpy>=1.13
- pydicom>=2.1.2
1 maintainer
Metadata
1 maintainer
Release files for SlideRunner-dataAccess 1.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| SlideRunner_dataAccess-1.0.9.tar.gz | 37.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| SlideRunner_dataAccess-1.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 77.3 kB
Release files / SlideRunner_dataAccess-1.0.9.tar.gz
| Download URL | SlideRunner_dataAccess-1.0.9.tar.gz |
|---|---|
| Size | 37.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.1 CPython/3.9.12
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Release files / SlideRunner_dataAccess-1.0.9-py3-none-any.whl
| Download URL | SlideRunner_dataAccess-1.0.9-py3-none-any.whl |
|---|---|
| Size | 40.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
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