mscviplib
An image preprocessing and augmentation module for use with CustomVision.ai machine learning models. See [Custom Vision Service](https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/) for background and details.
Installation
To install:
pip install mscviplib
Note that currently, this module only works (and is only useful) on Linux.
Usage
- The main functions are:
GetImageMetadata returns metadata object used with the subsequent preprocessing call.
PreprocessForInferenceAsTensor Performs image preprocessing for inference. Returns [Channel x Height x Width] normalized float tensor.
PreprocessForInferenceAsImage Performs image preprocessing for inference. Returns an image as RGB or BGR bytes.
2 maintainers
Metadata
2 maintainers
Release files for mscviplib 2.211201.122
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mscviplib-2.211201.122-cp37-cp37m-manylinux2014_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.17+ x86-64 | Details for mscviplib-2.211201.122-cp37-cp37m-manylinux2014_x86_64.whl |
Release files / mscviplib-2.211201.122-cp37-cp37m-manylinux2014_x86_64.whl
| Download URL | mscviplib-2.211201.122-cp37-cp37m-manylinux2014_x86_64.whl |
|---|---|
| Size | 14.4 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
a401594c5aaf2d7fb4daa5396ab6da88d810bb01b6d2f6d5a2ffab5bf3a6315f
|
|
BLAKE2b-256 checksum How to use checksums |
68af91c3eed30445383f319e4138c38990235ce346ca1c4e0892438cc7a25c32
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.9
|
Security for mscviplib 2.211201.122
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
