MathisonTuring

MathisonTuring is a Python library for submitting tasks in projects created in the Mathison Turing website.

Installation

Use the package manager pip to install MathisonTuring.

pip install mathisonturing

Login

import mathisonturing.tools as mt

project_name = mt.auth(institution, project, token) # returns auth class

Bounding box task

## dict example
dict = {
        "instruction":str,
        "attachement": str,
        "attachement_type": str,
        "objects_to_annotate": list,
        "with_labels":bool,
        "min_width":int,
        "min_height": int,
        "if_not_conclusive": str,
        }

## publish bounding box task
project_name.bounding_box(dict).publish()

Classification task

## dict example
dict = {
        "instruction":str,
        "attachement": str,
        "attachement_type": str,
        "objects_to_annotate": list,
        "choices":bool,
        "if_not_conclusive": str,
        }

## publish classification task
project_name.classification(dict).publish()

Cuboid task

## dict example
dict = {
        "instruction":str,
        "attachement": str,
        "attachement_type": str,
        "objects_to_annotate": list,
        "if_not_conclusive": str,
        }

## publish classification task
project_name.cuboid(dict).publish()

Splines task

## dict example
dict = {
        "instruction":str,
        "attachement": str,
        "attachement_type": str,
        "objects_to_annotate": list,
        "splines":bool,
        "with_labels":bool,
        "if_not_conclusive": str,
        }

## publish classification task
project_name.splines(dict).publish()

Point task

## dict example
dict = {
        "instruction":str,
        "attachement": str,
        "attachement_type": str,
        "objects_to_annotate": list,
        "splines":bool,
        "with_labels":bool,
        "if_not_conclusive": str,
        }

## publish classification task
project_name.point(dict).publish()

Polygon task

## dict example
dict = {
        "instruction":str,
        "attachement": str,
        "attachement_type": str,
        "objects_to_annotate": list,
        "with_labels":bool,
        "if_not_conclusive": str,
        }

## publish classification task
project_name.polygon(dict).publish()

Segmentation task

## dict example
dict = {
        "instruction":str,
        "attachement": str,
        "attachement_type": str,
        "objects_to_annotate": list,
        "with_labels":bool,
        "if_not_conclusive": str,
        }

## publish classification task
project_name.segmentation(dict).publish()

Transcription task

## dict example
dict = {
        "instruction":str,
        "attachement": str,
        "attachement_type": str,
        "objects_to_annotate": list,
        "if_not_conclusive": str,
        }

## publish classification task
project_name.transcription(dict).publish()

License

GNU AGPLv3