
In March 2025, Nikita developed an end-to-end Oriented Bounding Box (OBB) detection example for the DeGirum/hailo_examples repository, focusing on practical computer vision workflows. Using Python and the DeGirum PySDK, Nikita created a Jupyter notebook that loads a pre-trained OBB model, performs inference on sample images, and visualizes results with overlay annotations. The work included comprehensive documentation to ensure quick setup and reproducibility, enabling users to efficiently evaluate OBB detection on Hailo hardware. This contribution demonstrated depth in both technical implementation and user enablement, providing a hands-on resource for accelerating experimentation with object detection and machine learning pipelines.

March 2025: Delivered an end-to-end OBB detection example in DeGirum/hailo_examples using PySDK on Hailo hardware. The notebook demonstrates loading a pre-trained OBB model, running inference on a sample image, and overlaying results, accompanied by documentation to enable quick setup and reproducibility. This work emphasizes hands-on evaluation and accelerates prototyping of OBB workflows.
March 2025: Delivered an end-to-end OBB detection example in DeGirum/hailo_examples using PySDK on Hailo hardware. The notebook demonstrates loading a pre-trained OBB model, running inference on a sample image, and overlaying results, accompanied by documentation to enable quick setup and reproducibility. This work emphasizes hands-on evaluation and accelerates prototyping of OBB workflows.
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