Tutorials
In-depth guides for advanced SDK workflows.
| Tutorial | What you'll do |
|---|---|
| Video Sources | Connect USB cameras, RTSP streams, and video files as pipeline inputs. |
| Run Inference in Python (Low level API) | Build a Python application that uses the low level axelera-runtime API to read inference results frame by frame. |
| Run Inference in Python (High Level API) | Build a Python application that reads inference results frame by frame using a high performance gstreamer optimised pipeline. |
| Measure Accuracy | Run a model against a validation dataset and get mAP or top-1 accuracy scores. |
| Deploy Custom Weights | Use your own trained weights with a Model Zoo architecture. |
| Cascaded Pipelines | Chain two models together — run a classifier on regions detected by a detector. |
| Custom Model Architecture | Deploy a completely new model architecture with a custom decoder and dataset adapter. |