CLAUDE: lean debug render = TRUE weighted average (before the sum scaling)

Per Andrey's input-verification methodology: the -POSE-RT-COMPOSITE "real"
component must be the weighted 16-sensor average (comparable to the virtual
render), while the correlator receives the per-tile SUM (379b3cf6 fix).
Render moved BEFORE the sum scaling (extra H2D + imclt in debug mode only);
the post-correlation render (which would now show the count-stepped sum)
removed.

Verified: mvn -DskipTests clean package OK.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

src/main/java/com/elphel/imagej/cuas/rt/CuasPoseRT.java

@@ -323,6 +323,13 @@ public class CuasPoseRT {
 		final float [][] fclt16 = gpuQuad.getCltData(false);
 		final int [] td_counts = new int [fclt16[0].length / CuasTD.TD_CHUNK];
 		final float [] avg_td = CuasTD.consolidateSensorsTD(fclt16, td_counts);
+		// DEBUG (img_out): render the TRUE weighted average - the input-verification image
+		// (comparable to the virtual render) - BEFORE the sum scaling below. Costs one extra
+		// H2D + imclt, debug mode only. By Claude on 07/04/2026.
+		if (img_out != null) {
+			gpuQuad.setCltData(0, avg_td, false);
+			img_out[0] = com.elphel.imagej.cuas.CuasMotion.perSensorImagesFromTD(gpuQuad, false)[0];
+		}
 		// Scale the average back to the per-tile SUM of sensors - the oracle inter-corr
 		// operating point (it sums the pair products unweighted, and the FZ-normalize
 		// applies the same absolute fat zero). The 1/16 amplitude of the plain average
@@ -357,12 +364,7 @@ public class CuasPoseRT {
 			return null;
 		}
 		if (corr_pd_out != null) corr_pd_out[0] = corr_pd; // debug rendering (-POSE-RT-CORR2D) // By Claude on 07/04/2026
-		// DEBUG (img_out): render the composite actually correlated - sensor slot 0 holds the
-		// consolidated TD average (setCltData above); correlation did not modify the CLT buffer.
-		// By Claude on 07/04/2026.
-		if (img_out != null) {
-			img_out[0] = com.elphel.imagej.cuas.CuasMotion.perSensorImagesFromTD(gpuQuad, false)[0];
-		}
+		// (img_out is rendered in step 3, BEFORE the sum scaling - the true weighted average) // By Claude on 07/04/2026
 		// 6. peak + eigen per tile (the GPU argmax+eigen kernel's Java oracle)
 		final int corr_width = 2 * GPUTileProcessorDttSize() - 1;
 		final double [][] centers =    new double [num_pix][];