Skip to main content

A SAM model with GroundingDINO model for feet segmentation

Project description

DiagAssistAI

GitHub License Static Badge PyPI - Version

modelo

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 0.5.12

Fixed

Fixed: Error to segment without points o boxes.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

groundino_samnet-0.5.12.tar.gz (38.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

groundino_samnet-0.5.12-py3-none-any.whl (38.0 MB view details)

Uploaded Python 3

File details

Details for the file groundino_samnet-0.5.12.tar.gz.

File metadata

  • Download URL: groundino_samnet-0.5.12.tar.gz
  • Upload date:
  • Size: 38.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for groundino_samnet-0.5.12.tar.gz
Algorithm Hash digest
SHA256 a347c13c6cd665dfdadda3614e796ce2b06d4fb7fbedbf7eeca96791398f637f
MD5 7263ba7c15c8c7da213a20efdec37ac4
BLAKE2b-256 79700a0e58d60212dab46d1c53ec04015681d4d606bb7383c6d0d0a7300f3fac

See more details on using hashes here.

File details

Details for the file groundino_samnet-0.5.12-py3-none-any.whl.

File metadata

File hashes

Hashes for groundino_samnet-0.5.12-py3-none-any.whl
Algorithm Hash digest
SHA256 4ae950cf9e83aaf4338e1021c9334d34e247f79729681f593fd20285eaf7a281
MD5 984aa093579c12f444e009f53f79deca
BLAKE2b-256 6c363a9975939eabc1b50e221aa626d901accf15452e2ff2a5bc55af9228407f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page