Supervisely SDK for PythonΒΆ
Welcome to the Supervisely SDK for Python documentation for Supervisely, the leading platform for entire computer vision lifecycle. This SDK aims to make it as easy as possible to develop new apps and plugins for the Supervisely platform. The SDK is a product of our experience developing new features for Supervisely and contains functionality that we have found helpful and frequently needed for python development.
Feel free to ask questions in Slack.
Prerequisites & Installation
Tutorials
API
SDK Basics with IPython Notebooks
- 1. Project Structure
- 2. Data Management
- 3. Data Augmentations
- 4. NN: Deploy and Inference on Supervisely via API
- 5. NN: Automate Training and Inference via API
- 6. Inference Modes: Full Image / Sliding Window / ROI / Bboxes
- 7. Data Manipulation via API: Copy / Move / Delete
- 8. Users and Labeling Jobs API
- 9.1. Custom NN Detection and Segmentation Pipeline
- 9.2. Custom NN Multi GPU Detection and Segmentation Pipeline
- 10. Upload Images via API
- 11. Custom Data Pipeline
- 12. Filter and Combine Images
- 13. NN Inference from Sources
- 14. How to Work with NN Pixelwise Probabilities
- Additional Examples in our GitHub
Applications Development (In Progress)
Develop Plugins (Deprecated)
Source Code
