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Andrey Filippov authored
CuasDnnInfer auto-detects reg from the ONNX output channels (6 = reg head {det,Vx,Vy,logvar,dx,dy}, else grid) via getOutCh()/isReg(), and adds inferROIReg() returning {S,Vx,Vy,sigma,dx,dy} per ROI pixel (S=sigmoid(det), Vx/Vy model-bounded, sigma=exp(logvar/2)). CuasDetectRT branches: reg saves an S-first {S,Vx,Vy,sigma} hyperstack (-VXYS) + -OFFSET (showArraysHyperstack, channel x time x ROI), metadata-tagged; ghostbuster/grid renders/recurrent skipped (no grid corners, |v|<=vmax baked in). Set curt_dnn_patch=32 for the reg model; curt_dnn_vmax unused in reg mode. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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| calibration | ||
| cameras | ||
| common | ||
| correction | ||
| cuas | ||
| dct | ||
| gpu | ||
| ims | ||
| jp4 | ||
| lwir | ||
| mcp | ||
| orthomosaic | ||
| readers | ||
| tensorflow | ||
| tileprocessor | ||
| vegetation | ||
| x3d/export |