3 Commits

Include renames

Author	SHA1	Message	Date
Erik Fröjdh	941325ea15	More uniform binding of Numpy arrays (#381) ... - Introduce a standard way to bind numpy arrays: py::array_t<T> and .noconvert() on the argument - Take py::array_t by value since it's just a small wrapper - Update bindings	2026-09-25 14:40:33 +02:00
Erik Fröjdh	eddb919328	FastPedestal + optimizations in the cluster finder (#341) ... Optimized pedestal tracking with FastPedestal and performance improvements to the cluster finder. - ~2x faster hitting 14k FPS on benchmark dataset on 16 core threadripper pro **Changes** - No bounds check on interior of frame. (only within half of a cluster) (~15% improvement) - Cache threshold (std*n_rms) Biggest improvement comes from not computing std for each access - Cache pedestal subtracted frame - Switched to FastPedestal which assumes we reached steady state **Things tried but rejected:** - Always store cluster values, commit on val==max (~15% drop in frame rate) **Options** - using 16 bit clusters and 16 bit pedestal. (slows down the single threaded case but allow us to reach 12k with multi threading) **Other notes on performance** - Passing in memory frames from python and doing nothing: 0.8us/frame - Passing + pedestal subtraction: 28us/frame - Passing + pedestal + cluster finding (no store): 652us/frame - Passing + pedestal + cluster finding: 886 us/frame	2026-09-01 18:41:12 +02:00
Erik FröjdhandLars Erik Fröjd	f670ba77a2	PixelHistogram (#317) ... Multi threaded filling of per pixel histograms for example for detector calibration 1. PixelHistogram - Generic variant expects already pedestal subtracted data 2. PedestalTrackingHistogram - Terrible name, useful class. Keeps it's own pedestal and does conversion and pedestal tracking in the worker threads. --------- Co-authored-by: Lars Erik Fröjd <froejdh_e@pc-jungfrau-02.psi.ch>	2026-06-09 09:08:48 +02:00