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Models and model utilities for common ML tasks

Project description

xt-cv

Description

This repo contains common models and utilities for working with ML tasks, developed by Xtract AI.

More to come.

Installation

From source:

git clone https://github.com/XtractTech/xt-models.git
pip install ./xt-models

Usage

Grabbing a model

from xt_cv.models import PSPNet

# Build an object populated with the COCO image list, categories, and annotations
model = PSPNet(sizes=(1, 2, 3, 6), psp_size=2048, deep_features_size=1024, backend='resnet50')

Implementing a new model

If you are having to always copy and paste the same model code for different projects, simply add the model code to the models directory, and import it in the models/__init__.py file.

Data Sources

[descriptions and links to data]

Dependencies/Licensing

[list of dependencies and their licenses, including data]

References

[list of references]

Project details


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