The following repository will gather Dataloop's SDK examples and best practices.
First, clone this repo:
git clone https://github.com/dataloop-ai/dtlpy-documentation.git
cd dtlpy-documentation
If you don't have python installed, download and install from here (python<3.10).
We recommend creating a python virtual environment:
pip3 install --upgrade virtualenv
virtualenv -p python3 venv
source venv/bin/activate
pip3 install -r requirements.txt
To run the tutorials, launch the Jupyter Notebook
jupyter notebook tutorials
- Annotations image
- Annotations video
- Data management
- Cloud storage
- Data versioning
- [Item & user metadata](tutorials/data_management/Item & User Metadata/chapter.ipynb)
- Manage datasets
- Modalities
- Sort and filter
- Upload and manage annotations
- Upload and manage data and metadata
- Working with metadata
- Faas
- Model management
- Create new model
- Dataloop dataloader
- Introduction
- Use dataloop zoo models
- Recipe and ontology
- Sdk 101 tutorial
- Task workflows
- Annotations
- Converters
- Datasets
- Integrations
- Gcs cloud function
- S3 lambda
- Items
- Model mgmt
- Pipelines
- Reports
- Tasks
- Uploads