- 26 Jun, 2026 12 commits
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Andrey Filippov authored
Post-mortem showed both CLT buffers loaded but inter-correlation -> 0 tiles. index_inter_correlate selects by __popc(sel_sensors); static reading says sel_sensors should be 1 (single-cam rectilinear), so a runtime value differs. - GpuQuadJna.execCorr2D_inter_TD: one-shot print sel_sensors/popc/num_cams/ num_colors/scales + the returned num_corr_tiles. - saveTDRender: makeArrays NPE'd on null titles (derefs titles[i]); pass a non-null titles[] so the render saves instead of crashing the run. TEMP — remove with the rest of the -Dtp.dbg.corrpair probe. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Single sacrificial run -> generous logging without spam: - GpuQuadJna: probe BOTH first ref convert (gpu_clt_ref) AND first scene convert (gpu_clt) — NaN%/nonzero/range each (probeClt helper). - CuasMotion.correlatePair one-shot: log targets_mv / tp_ref,tp_img counts / erase_cltr,erase_clt / fpixels null-ness, plus TD-correlation read-back stats (tile count + NaN% of TD values) alongside the DBG-REF/DBG-IMG renders. All gated/one-shot; no native change (reads via existing tp_proc_get_clt). TEMP — remove with the rest of the -Dtp.dbg.corrpair probe. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
(1) GpuQuadJna.execImcltRbgAll now passes ref_scene -> tp_proc_exec_imclt(use_ref) so renderFromTD(true) renders gpu_clt_ref, not gpu_clt (TpJna binding updated). (2) TEMP post-mortem in CuasMotion.correlatePair (gate -Dtp.dbg.corrpair=1, one-shot): after the inter-correlation, SAVE ref (gpu_clt_ref) + scene (gpu_clt) CLT renders to the model dir via saveImagePlusInModelDirectory (persist past the later crash; no window flood). DBG-REF blank/NaN => reference not loaded => explains the all-NaN CORR2D (inter corr needs both images). REMOVE after fix. Needs the tile_processor_gpu imclt use_ref commit + libtileproc.so rebuild. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Diagnostic for the CORR2D-all-NaN numeric divergence: after the first ref_scene=true convert, read back gpu_clt_ref (tp_proc_get_clt use_ref=1) and print NaN%/nonzero/min/max once. Confirms whether the reference convert populates gpu_clt_ref at all (vs scene gpu_clt which is correct -> SOURCE). Prints one "PROBE gpu_clt_ref[cam0]: ..." line to System.out (captured in the per-scene -SYSTEM_OUT.log). TEMP — remove after the divergence is fixed. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Third JNA-mode gap on the CUAS oracle path: TDCorrTile.convertTDtoPD re-uploads host-selected TD correlation tiles via GpuQuad.setCorrIndicesTdData, which was not overridden -> base JCuda cuMemcpyHtoD on a null gpu_corr_indices -> NPE. Adds the GpuQuadJna override (ensureRbgCorr() then delegate to the new native tp_proc_set_corr_indices_td) + the TpJna binding. Gap-finder over the full CUAS TD path (CuasMotion + TDCorrTile) confirms this was the LAST GPU-touching un-overridden method; the rest are pure config getters. Needs the matching tile_processor_gpu commit (native fn) + libtileproc.so rebuild. mvn compile clean. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Second JNA-mode failure after the Phase-1 NPE fix: cudaErrorIllegalAddress at tp_utils.cu:142 (image upload), actually a DEFERRED fault from the inter-scene correlate2D_inter kernel writing out of bounds. Root cause: GpuQuadJna.ensureRbgCorr sized the native correlation buffers via Correlation2d.getNumPairs(num_cams). For the rectilinear single-camera config num_cams=1 -> getNumPairs(1)=0 -> tp_proc_setup_rbg_corr allocates zero-size gpu_corrs_td / gpu_corrs / gpu_corr_indices, so the inter-scene correlation wrote past them -> illegal address, surfacing (sticky) at the next CUDA call. Fix: mirror the JCuda oracle, whose rectilinear ctor hardcodes num_pairs=3 (GpuQuad.java:732) for exactly the inter-scene case -> int num_pairs = rectilinear ? 3 : Correlation2d.getNumPairs(num_cams); Java-only; libtileproc.so untouched. mvn compile clean. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Fixes the whole bug-class behind the -Dtp.backend=jna NPE in GpuQuad.setLpfRbg (CuasRanging.detectTargets -> CuasMotion -> setRectilinearReferenceTD): the rectilinear single-camera GpuQuad was built via the raw JCuda ctor, bypassing the backend factory, so in JNA mode it got a null gpuTileProcessor. - GpuQuad.createRectilinear(): backend-aware factory parallel to create(). JCUDA branch is byte-for-byte the legacy ctor (oracle path untouched); JNA branch builds a clean rectilinear GpuQuadJna. New no-alloc rectilinear ctor (num_cams=1, no kernels/geometry). - GpuQuadJna: rectilinear ctor + shared initNative(); the two overrides the gap-finder predicted -- reAllocateClt (no-op; native CLT pre-sized in setup) and singular setBayerImage (-> tp_proc_set_image). execConvertDirect already guarded on the rectilinear flag. - CuasMotion:452 routed through createRectilinear (CUAS rectilinear now JNA-capable). - ComboMatch:899 fail-loud UnsupportedOperationException in JNA mode (orthomosaic, wider unported surface, off the current path -- stays JCuda). Java-only; libtileproc.so untouched. mvn compile clean. JCuda legacy frozen as oracle; core convert_direct flag-soup cleanup deferred to Phase 2. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Root-level, Andrey-facing, single predictable "what to do right now" file the agent overwrites before session exit, so lost tmux scrollback never costs the restart plan. Local-only; gitignored alongside CLAUDE.md/AGENTS.md/MEMORY.md. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
just debug
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Andrey Filippov authored
Completes the oracle GPU surface. The reliable gap finder is comm -23 <(ImageDtt gpuQuad.* calls) <(GpuQuadJna overrides) not the gpuTrace dump (only ~14 methods are instrumented, so e.g. getFlatTextures was invisible in the trace though it is on the path). Overrides (delegating to the new tp_proc_* texture API): - execTextures: builds weights[3]/params[5], forwards calc_textures/calc_extra/ linescan/dust/keep flags. Implements the production (USE_DS_DP) behavior. - getTextureIndices: reads kernel-built count + packed indices. - getExtra: reshapes diff_rgb_combo (texture_indices order) into [num_cams*(num_colors+1)][tilesX*tilesY] keyed by ntile -- identical to base. - getFlatTextures: de-pitches gpu_textures -- identical to base. TpJna.java: bindings for tp_proc_exec_textures/get_texture_indices/ get_diff_rgb_combo/get_textures. Edits only -- not mvn-compiled (Eyesis run was live). Signatures match base @Override; referenced fields are public final / public static. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
gpuTrace now prints each Class.method ONCE (was per-call -> spammy). Oracle JCuda trace showed it uses the TD-correlation readback path: getCorrIndices / getCorrTdData / getCorrComboIndices / eraseGpuCorrs (un-overridden -> would NPE in JNA). Override them via the new native tp_proc_get_corr_indices / get_corr_combo_indices / get_corr_td (DtoH) + tp_proc_erase_corrs. mvn -DskipTests compile clean. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Add GpuQuad.gpuTrace(m) printing "[GPUTRACE] "+getClass().getSimpleName()+"."+m (off unless -Dtp.trace=1). Instrument the un-overridden GPU methods (potential oracle gaps): getCltData, presentCltData, eraseGpuCorrs, execCorr2D (bundled), readbackTasks, setFullFrameImages, getCorrTdData, getCorrIndices, getCorrComboIndices, getExtra, getTextureIndices, getRBGA, execRBGA, execTextures. Since GpuQuadJna extends GpuQuad, the trace prints "GpuQuad.X" under JCuda and "GpuQuadJna.X" if a JNA run falls through to one (= coverage gap) -> reveals oracle's real GPU usage before any NPE. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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- 25 Jun, 2026 18 commits
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Andrey Filippov authored
updateTasks is called all over ImageDtt right after execSetTilesOffsets (reads gpu_ftasks back to rebuild TpTask[] with computed centerXY/disp_dist) -> tp_proc_get_tasks (DtoH). getWH returns full frame (base returns null gpu_clt_wh). Proactive (locating same-cause base-method derefs of null JCuda fields). Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
convertCenterClt -> setComboToTD -> setCltData pushes the restored center CLT to GPU; base getCltSize/ getNumTiles deref null gpu_clt_wh. Override to full-frame dims; setCltData -> new tp_proc_set_clt (HtoD per-cam slice, inverse of tp_proc_get_clt). Fixes the third JNA NPE (getCltSize:1211). Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
updateQuadCLT sets quadCLT + flag-only resetGeometryCorrection*(); skips the base's gpuTileProcessor.bayer_set clear (N/A natively - bayer re-uploaded each convert). resetBayer no-op. Fixes the second JNA NPE (updateQuadCLT:263). Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
setLpfRbg flattens the 4x64 r/b/g/m arrays -> "lpf_data"; setLpfCorr -> const_name (lpf_corr / lpf_rb_corr). Uploads to the native module's constant memory, matching JCUDA. mvn clean. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
GpuQuad.create(gpuTileProcessor, quadCLT, debug) returns the JCuda GpuQuad by default, or the native GpuQuadJna when -Dtp.backend=jna (srcdir/devrt overridable via -Dtp.jna.srcdir / -Dtp.jna.devrt). Routed all 32 main+aux `new GpuQuad(...)` 3-arg sites in Eyesis_Correction.java through the factory. JCUDA remains the default (behavior identical when the property is unset). mvn -DskipTests compile clean. Migration now fully implemented + compiling end-to-end (Step 1 native TpProc API, Step 2 GpuQuadJna full CUAS surface, Step 3 selector). Ready for the JCUDA-vs-JNA comparison + incremental troubleshooting. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Override execCorr2D_TD / execCorr2D_inter_TD / execCorr2D_combine / execCorr2D_normalize / getCorr2D / getCorr2DCombo delegating to the granular TpProc functions (setCorrMask kept for getNumUsedPairs; mono scale triplet 1/0/0; init|no_transpose<<1). handleWH -> full-frame no-op (TpProc fixed-size). GpuQuadJna now covers the full CUAS GPU surface (geometry/kernels/bayer/tasks/convert/imclt/getRBG/ correlations). mvn compile clean. fcorr_weights (per-tile) + setLpf* not yet plumbed — to surface in troubleshooting. Next: backend selector. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Override GpuQuad's GPU-touching methods for the image path, delegating to the native TpProc (with own caching, since base uses the null gpuTileProcessor): - setGeometryCorrection / setExtrinsicsVector -> tp_proc_set_geometry / set_correction_vector (gc.expandSensors(16).toFloatArray, cv.toFullRollArray). - setConvolutionKernels -> per-cam transpose-flatten (i=((i0&7)<<3)+((i0>>3)&7), CltExtra offsets) -> tp_proc_set_kernels / set_kernel_offsets. - setBayerImages -> channel-combine -> tp_proc_set_image (center -> set_center_image broadcast). - setTasks -> TpTask.asFloatArray -> tp_proc_set_tasks. - execSetTilesOffsets -> set gc+cv -> tp_proc_exec_geometry. - execConvertDirect(ref_scene,wh,erase_clt,no_kernels,use_center_image) -> tp_proc_exec_convert_direct (honors no_kernels skip-deconvolution + use_center_image, the fragile paths). - execImcltRbgAll -> tp_proc_exec_imclt; getRBG -> tp_proc_get_rbg + same inner-region extraction. mvn -DskipTests compile clean; all @Override signatures match base. Correlations (execCorr2D_*) and the backend selector are next. JCUDA remains the untouched default. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Architecture B (chosen after finding GpuQuad's surface is ~70 methods, too large for a clean interface): - GpuQuad: add a protected no-alloc constructor (QuadCLT, debug_level, native_backend marker) that sets only the final config fields (gpuTileProcessor=null) and allocates NO JCuda memory / context. The working JCuda constructors are untouched. - New GpuQuadJna extends GpuQuad: uses the no-alloc ctor, then stands up the native libtileproc.so via TpJna (tp_create_module + tp_proc_create + tp_proc_setup). Inherits all methods (so it compiles); GPU-touching methods will be overridden incrementally to delegate to TpProc, the rest throw to fail loudly off the validated path. close() frees native memory deterministically. mvn -DskipTests compile: clean. JCUDA remains the default/working path. Next: per-method override marshalling (kernels/bayer/geometry/tasks + convert/imclt/getRBG/corr), then the backend selector (QuadCLT ctor) and the live JCUDA-vs-JNA file comparison. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
TpJna: tp_proc_setup_rbg_corr/exec_imclt/get_rbg/exec_corr2d/get_corr2d_combo + extended tp_proc_convert_selftest. StageProc validates convert+imclt+corr through the persistent API (all match goldens) + no_kernels smoke. PASS on 5060 Ti. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
TpJna: tp_proc_create/setup/set_*/exec_*/get_clt/destroy + tp_proc_convert_selftest. StageProc: validates the persistent convert path == Stage-2 CLT golden + no_kernels smoke test. PASS on 5060 Ti. This is the production-facing surface GpuQuadJna (integration step 2) delegates to. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
CLAUDE: Stage 5 — JNA textures_nonoverlap binding + Stage5 driver (executes; golden mismatch documented) TpJna: tp_tex_selftest. Stage5: reports EXECUTED (Blackwell OK) + golden-match separately. textures_nonoverlap executes correctly on 5060 Ti; diff_rgb_combo golden mismatch is a documented known issue (not in the LWIR16 CUAS workflow). All kernels the CUAS workflow uses are validated. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
TpJna: add tp_corr_selftest. Stage4: run convert_direct + correlate2D/combine/normalize, report CLT error and the order-independent (sorted-distribution) correlation value error. PASS on 5060 Ti: sorted value error 2.06e-05 vs aux_corr-quad.corr (pointwise 0.66 is the stale golden's differing tile order, not a value error). Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
TpJna: add tp_imclt_selftest binding. Stage3: run convert_direct + imclt_rbg_all, report CLT and RBG max error. PASS on 5060 Ti: RBG relative ~1.31e-5 vs golden. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
TpJna: add tp_convert_direct_selftest binding. Stage2: invoke it against the tile_processor_gpu/clt golden, report num_active_tiles + max|CLT-golden|. PASS on 5060 Ti: 5120 active tiles, relative error ~8.85e-6 vs golden (first real kernel execution + CDP via the native shim, no JCuda). Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
TpJna: add the instance + geometry surface (tp_create_instance, tp_set_geometry_correction/correction_vector, tp_exec_calc_reverse_distortions, tp_exec_rot_derivs, tp_get_rbyrdist/rot_deriv, tp_destroy_instance). Stage1: drive the geometry path entirely across JNA (no JCuda) from the tile_processor_gpu/clt reference data (little-endian float32), then validate: rByRDist == clt/*.rbyrdist to ~1e-7 (GpuQuad.maxRbyRDistErr tolerance), rot_deriv rows orthogonal to ~1e-10. PASS for aux (16-cam) and main on 5060 Ti. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Add JNA 5.14.0 dependency + com.elphel.imagej.gpu.jna (TpJna interface, Stage0 driver): load libtileproc.so, NVRTC-compile+CDP-link+load the kernels, 19/19 functions on the 5060 Ti from Java via JNA (no JCuda). First step of the GPU-layer migration; existing JCuda path untouched. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Checkpoint of the CUAS real-time work before the JCuda->JNA GPU-layer migration: - OpticalFlow.buildSeries mode-0 curt_en fork: generate the merged-CUAS stack via CuasRanging.prepareFpixels() (GPU, explicit) then run the CUDA-free CuasDetectRT; coexists with the oracle (oracle gated off when curt_en). - CuasDetectRT: file + in-memory(ImagePlus) entries via shared ingest(); -OFFSET gains an L2 "age" slice (5->6 ch), per-level noise scale, -LEV0 uniform naming, -OFFSET-<model> suffix. - infer_server.py: L2 track-age (masked 5x5 max-pool, AGE_THR=0.2/AGE_K=0.5), per-level noise normalization (sqrt(2)^(L-3) default, Java-sent scale), nch + noise_scale + CMD_STATUS protocol additions; auto model-switch in CuasDnnRemote.ensureServer. - cuasSynth + cuasNoise list SET keys (shared synth dir / inline per-level scales). - CuasRanging.saveUasFlightLogCsv: per-frame UAS truth -> <name>-UAS_DATA.tsv (mode-0 only). Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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- 21 Jun, 2026 6 commits
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Andrey Filippov authored
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Andrey Filippov authored
CLAUDE: -OFFSET in px (s-first, full-frame meta, s-gated NaN); curt_dnn_thresh viz-only (recurrent gets full field) -OFFSET (remote) reordered to {s,Vx,Vy,dx,dy} (s first -> ImageJ auto-ranges on it); Vx,Vy converted cells->px/level-frame (/vel_decimate); full-frame ROI written to the file metadata (self-describes its extent); Vx,Vy,dx,dy NaN'd where s<curt_dnn_thresh (s kept). curt_dnn_thresh is now VISUALIZATION-ONLY: the local inferROI feeds Layer 2 the FULL field (sThresh=0) so the recurrent gets the weak sub-threshold signal it integrates (no premature threshold = the LReLU lesson); dialog label/tooltip/decl updated to say viz-only, do-not-use-for-computation. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Checkboxes were laid out with fill=HORIZONTAL, stretching the (text-less) JCheckBox across the half-width cell so its click target reached the scrollbar - a near-scrollbar miss-click silently toggled them (this flipped 'DNN remote' off mid-session). Anchor checkboxes WEST at natural size; the rest of the cell is now dead space. Applies to all tabbed dialogs. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
runDnnRemote requests each level's scenes in chunks (REQ=64) via CuasDnnRemote.inferBatch instead of per-scene; the DGX runs them continuously (production-representative ~100ms/scene full-res) and applies the ghostbuster on the GPU in decode, so BOTH the ROI 121-cell field and the full-frame -OFFSET {dx,dy,s,Vx,Vy} are ghostbusted (dropped the Java-side ghostbust). Validated: local vs remote on the same weighted9_pm_s model -> max |diff| ~1e-4 (ORT per-pixel vs PyTorch shift-and-stitch fp). Full-res ~100ms/scene is the oracle; RT would use the 1/4-res single forward (~4.4ms). Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
runDnnRemote() decoded the raw softmax*s field but skipped dnnGhostbust, so the untrained corner-velocity sidelobes (which the local CPU path zeros when curt_dnn_vmax>0) survived as background noise (~0.06 vs ~5e-4 on the MAX-all-v layer). Apply dnnGhostbust to the ROI field, mirroring the local path -> verified: ImageJ subtract of -HYPER-RECT MAX slices vs the CPU (17_UAS_REFACTORED) is exact zero. (Full-frame -OFFSET s is not yet ghostbusted - Java lacks the full 121-field; a DGX-side decode ghostbuster would cover that.) Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
detectTargets() can offload the DNN front-end to the GB10 DGX (curt_dnn_remote): CuasDnnRemote uploads the LoG-conditioned stack once, the DGX builds the pyramid and runs full-res shift-and-stitch per (level,scene), returning the full-frame {dx,dy,s,Vx,Vy} (-OFFSET) + ROI 121-cell softmax*s (-RECT/-HYPER-RECT). Auto-launches the server if down (bundled cuas_dnn/ scripts, or curt_dnn_remote_srcdir local-repo override - mirrors the GPU-kernel default-vs-override). Synthetic targets are mixed into the upload stack so synth works on the remote path. 4 curt_dnn_remote_* dialog params, grouped with the model fields. Local CPU path unchanged (curt_dnn_remote=false) for Layer 2. Validated end-to-end; shift-and-stitch is fp64-exact vs per-pixel. Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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- 20 Jun, 2026 3 commits
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Andrey Filippov authored
Dead after the 3d3/matched-filter removal (predecessor at tag cuas-layer1): render3d3Hyperstack, get3d3Radius + the 3d3 kernel state (kernel3d3_rad, indx_*_3d3) with its constructor param/setup/call-site; TemporalKernelGenerator.generateKernelMatched/Direct; CuasDetectRT SUFFIX_CONV3D3, CONV3D3_MODES, bilinearFrame. No live callers; build OK. Co-authored-by:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
Layer-1 is DNN-only; predecessor code preserved at git tag cuas-layer1. Removed: 3d3 coarse-velocity path (curt_3d3_*, rleak1, convolve3D3LReLU); C5P matched-filter / Bayes-posterior / whitening (curt_c5_matched/en/post/.../white*/from_pix); LReLU rectification (curt_rleak0/pyr -> linear alpha=1, LoG kept); distribution-vote (-GVOTE/-GHEADS, voteScatterGrid); curt_dnn_t8frac. 28 dialog params dropped; dialogQuestions/dialogAnswers re-verified aligned (44 widgets = 44 getNext). ~1841 lines removed. Deprecated (kept): curt_stage2_model, MF-S S convention. Kept: DNN front-end, recurrent, synth-test, SUBAVG, pyramid, LoG (linear). Build OK. Runtime-untested (dialog) — verify a run; restore point: tag cuas-layer1. Co-authored-by:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Andrey Filippov authored
- IntersceneMatchParameters: add curt_synth_bg_avg (synth quick-run: average N=2^LEV real frames per output frame and force a single level — restores the fast synthetic+background path). - CuasDetectRT: that fast synth path (decimate-average to a short sequence + single level), honoring "Time ROI to" for the averaged-sequence length. - CuasDnnInfer: MF-S head reads channel 0 as the raw matched-filter path-sum (clamp>=0, no sigmoid). Validated: weighted model tracks the real UAS sub-pixel at LEV2/3; linear conditioning (LReLU off) is dropout-free and matches the no-LReLU training. Checkpoint before Layer 2. Co-authored-by:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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- 19 Jun, 2026 1 commit
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Andrey Filippov authored
Co-Authored-By:Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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