
Developed an interactive camera calibration tool for the Earl-Of-March-FRC/2025-7476-Reefscape repository, focusing on improving measurement accuracy and setup efficiency for reefscape experiments. The solution leveraged Python and OpenCV to enable frame capture, mouse-based selection of origin and outer points, and automated computation of calibration parameters using circle geometry. Additional features included snapshot capture and region definition to support a repeatable calibration workflow. Script updates enhanced maintainability and stability, ensuring reliable operation. By integrating computer vision techniques and GUI event handling, the work reduced lab setup time and contributed to higher data quality without introducing new bugs during the period.
February 2025 monthly summary for Earl-Of-March-FRC/2025-7476-Reefscape. Key feature delivered: OpenCV-based Interactive Camera Calibration Tool enabling frame capture, mouse-based origin/outer point selection, and circle-based calibration parameter computation, with optional snapshot capture and region definitions. Maintenance and stability improvements were achieved via script updates to the calibration workflow (two commits). No explicit major bugs reported in this data; focused on delivering a reliable, repeatable calibration workflow to improve measurement accuracy and setup efficiency. Technologies demonstrated include Python, OpenCV, GUI event handling, and version control. Business value: faster, repeatable calibration reduces lab setup time and improves data quality for reefscape experiments.
February 2025 monthly summary for Earl-Of-March-FRC/2025-7476-Reefscape. Key feature delivered: OpenCV-based Interactive Camera Calibration Tool enabling frame capture, mouse-based origin/outer point selection, and circle-based calibration parameter computation, with optional snapshot capture and region definitions. Maintenance and stability improvements were achieved via script updates to the calibration workflow (two commits). No explicit major bugs reported in this data; focused on delivering a reliable, repeatable calibration workflow to improve measurement accuracy and setup efficiency. Technologies demonstrated include Python, OpenCV, GUI event handling, and version control. Business value: faster, repeatable calibration reduces lab setup time and improves data quality for reefscape experiments.

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