원클릭으로
openptv2
openptv2에는 alexlib에서 수집한 skills 2개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Turnkey multi-camera calibration for an OpenPTV / openptv2 dataset, end to end, without the GUI. Use when a user wants to calibrate cameras, compute .ori/.addpar orientation files, fix a bad calibration, or set up a new PTV experiment and does not know the steps. Inspects the dataset, guides creation of the manual-orientation seed (interactive mouse click-picker) if missing, runs external orientation -> sortgrid -> bundle adjustment, and verifies with reprojection-overlay images and RMS. Triggers: "calibrate my cameras", "calibrate test_cavity", "make the .ori files", "my PTV calibration is off", "set up calibration".
Guides converting and speeding up existing Python code using Cython 3's "pure Python mode" — adding static types with PEP 484/526 annotations, cython.declare, @cython.cfunc/@cython.ccall/@cython.cclass, and typed memoryviews — so a .py file compiles to a fast C extension while remaining importable and runnable as plain Python. Use this whenever the user wants to speed up slow Python code, compile Python with Cython, add static typing for performance, optimize numeric or array-heavy loops (NumPy, image processing, particle tracking, signal/video processing, simulations), or mentions Cython "pure mode", cythonize, .pyx vs .py performance, or turning a hot function into a compiled extension without giving up testability. Also trigger when the user describes a slow nested loop, a profiled hot path, or "how do I make this Python function C-fast" even if they never say the word "Cython".