DiagAssistAI
Installation
GSamNetwork requires python==3.10.12, as well as torch==2.4.0.
Installing PyTorch
Make sure to check the version of Python that is compatible with your CUDA version at the following link: Installing torch locally.
In this project, CUDA 12.1 was used. You can install PyTorch with support for CUDA 12.1 using the following command:
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
Installing Package
To install the package, use:
pip install groundino-samnet
Version 0.5.13
Fixed
Fixed: Error to segment without points o boxes.
1 maintainer
Metadata
1 maintainer
Release files for groundino-samnet 0.5.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| groundino_samnet-0.5.13.tar.gz | 38.0 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| groundino_samnet-0.5.13-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details |
Total release size: 114.2 MB
Release files / groundino_samnet-0.5.13.tar.gz
| Download URL | groundino_samnet-0.5.13.tar.gz |
|---|---|
| Size | 38.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cae16a57d528c0801f2fb8f9edcd82f77f076a6bfb89a5f3c8c285d4becbed3d
|
|
BLAKE2b-256 checksum How to use checksums |
73ff20c90fcd136e021d6ad52f6d3576e17417285b5e2abcceaec18591210eb9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.12
|
Release files / groundino_samnet-0.5.13-cp310-cp310-win_amd64.whl
| Download URL | groundino_samnet-0.5.13-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 76.2 MB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
7559f30152dabb863fae317a29187853fe26325228e9f8dccf3bbc875b3b229a
|
|
BLAKE2b-256 checksum How to use checksums |
9ee4e7eeece1dcc003369b8345485b0dd1d919b955a663f6e0adc67210289499
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.12
|
Security for groundino-samnet 0.5.13
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.
