February 2026 highlights for roboflow/inference: - Inference Workflow Enhancements and Naming Consistency: added Claude Opus 4.6, Claude Sonnet 4.6, Gemini 3.1 Pro support; standardized VLM naming for Detector and Classifier to improve URL generation and model clarity. - Gemini Block Native Code Execution: enabled tool code execution within the Gemini block to run code natively and extend capabilities. - Camera Calibration: Fisheye Support: added a toggle for fisheye model and distortion correction in the calibration block. - Visualization & UI Enhancements: introduced Heatmap visualization for detections and improved code block icon UI with a customizable manifest description field. - Processing & Data Handling Improvements: Detections Class Replacement now supports string arrays, added processing_timeout for WebRTC/Serverless sessions, with tests for string support.

January 2026 monthly summary focusing on delivering clarity, reliability, and developer enablement across two repositories. Key documentation updates align SDK and serverless usage with actual workflows, while a critical API_KEY initialization fix mitigates initialization-time failures for sam3. These efforts reduce onboarding time, prevent runtime errors, and improve overall platform reliability and developer experience.

March 2025: DepthAI-core delivered two Python examples enabling ROI-based exposure/focus control and max-resolution still photo capture, enhancing developer onboarding and image quality for DepthAI applications.

Month: 2025-02 — Key accomplishments include the delivery of a new YOLOv8 DepthAI Instance Segmentation Demo for luxonis/oak-examples, with an end-to-end pipeline that processes color and depth streams, runs the instance segmentation model, and visualizes results using bounding boxes and segmentation masks. The feature required specific hardware and dependencies and involved updates to README and requirements files to reflect the new demo. Commit: 5ad7e0fb253c7201051a8ee77dbfb7d1dff265c0 (Added yolov8-instance-segmentation demo). No major bugs reported or fixed this month. This work enhances product value by enabling rapid prototyping and evaluation of instance segmentation on DepthAI, improving demonstrations and onboarding for developers. Strongly demonstrated capabilities in real-time vision inference, hardware-aware deployment, and documentation maintenance.

Month: 2025-01. In Luxonis depthai-core, delivered clear documentation-oriented enhancements to image manipulation capabilities while strengthening build reliability and code quality. These efforts improved evaluation visuals for demos, accelerated developer onboarding, and laid groundwork for broader ImageManipV2 workflows.

Month: 2024-11 — Focused on improving developer experience and data integrity in the supervision repo by clarifying data-type expectations for the Detections.mask attribute and aligning documentation with code behavior.