Welcome to the SuperAnnotate Python Software Development Kit (SDK), which enables Python programmers to create software that incorporates services of the platform and effortlessly integrates SuperAnnotate into their AI process.
- API Reference and User Guide available on Read the Docs
- Platform documentation
from superannotate import SAClient
# by environment variable SA_TOKEN
sa_client = SAClient()
# by token
sa_client = SAClient(token='<API key>')
# by config file
# default path is ~/.superannotate/config.ini
sa_client = SAClient(config_path='~/.superannotate/dev_config.ini')[DEFAULT]
SA_TOKEN = <API key>
LOGGING_LEVEL = INFO
LOGGING_PATH = /Users/username/data/superannotate_logsfrom superannotate import SAClient
sa_client = SAClient()
project = 'Dogs'
sa_client.create_project(
project_name=project,
project_description='Test project generated via SDK',
project_type='Vector'
)
sa_client.create_annotation_class(
project=project,
name='dog',
color='#F9E0FA',
class_type='tag'
)
sa_client.attach_items(
project=project,
attachments=[
{
'url': 'https://drive.google.com/uc?export=download&id=1ipOrZNSTlPUkI_hnrW9aUD5yULqqq5Vl',
'name': 'dog.jpeg'
}
]
)
sa_client.upload_annotations(
project=project,
annotations=[
{
'metadata': {'name': 'dog.jpeg'},
'instances': [
{'type': 'tag', 'className': 'dog'}
]
}
]
)
sa_client.get_annotations(project=project, items=['dog.jpeg'])SuperAnnotate python SDK is available on PyPI:
pip install superannotateThe package officially supports Python 3.10+ and was tested under Linux and Windows (Anaconda ) platforms.
For questions and issues please use this repo’s issue tracker on GitHub or contact support@superannotate.com.