curt_cond_test rework: both PERSENSOR stacks now converted with the test's
own uniform sensor-domain task grid (scale 1.0) instead of leftover GPU
state (MB secondary tasks with negative fractional scales made 'raw'
renders = -1/6 x input; leftover virtual-view grid lost the same border
ROI on every sensor). perSensorFromRawJp4 no longer overwrites the scene's
conditioned image_data.

GpuQuadJna.setBayerImages(force,center) restored the base-class skip-guard
via a native-side jna_bayer_set flag (gpuTileProcessor is null in JNA shell
instances): every execConvertDirect unconditionally re-pulled
quadCLT.getResetImageData(), silently clobbering explicit uploads - made
the raw baseline bit-identical to the conditioned render.

CuasMotion.perSensorLinearFit(): per-sensor a+b*x photometric fit over
safe tiles (weak strength<0.5 or far disparity<1 from -INTER-INTRA-LMA,
inner rect, 8x8 tile->pixel map) against the cross-sensor mean, gauge
keep_averages (mean offset 0, mean scale 1), 3-sigma outlier rejection.
Validated on 1773135476_186641: sensor-mean spread 1353->5 counts,
cross-sensor RMS 358->17 (inliers), b in 0.83..1.11.

CuasMotion.applyLwirLinearCalibration(): folds the fit into the 16+16
lwir offsets/scales (scale'=b*scale, offset'=offset-a/scale'), updates the
center instance + photometric_scene provenance, saves -INTERFRAME.corr-xml.
Applied the standard way at load they compensate the remaining per-sensor
mismatch of the raw /jp4/ tiffs.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>