Update GPR and SAR3D processing

python_app/gui/result_payloads.py

@@ -1,4 +1,4 @@
-"""Result payload lookup and GPR display filtering."""
+"""Result payload lookup and coherent-GPR objects."""
 
 from __future__ import annotations
 
@@ -22,22 +22,6 @@ def collection_payload_by_name(
     return None
 
 
-def collection_payloads_by_prefix(
-    collection: ResultCollection,
-    prefix: str,
-    kind: int | None = None,
-) -> list[ResultPayload]:
-    """Return collection payloads matching a processing-name prefix."""
-    payloads: list[ResultPayload] = []
-    for payload in collection.collection_payloads:
-        if not str(payload.processing_name).startswith(prefix):
-            continue
-        if kind is not None and int(payload.kind) != int(kind):
-            continue
-        payloads.append(payload)
-    return payloads
-
-
 def gpr_object_rows(collection: ResultCollection) -> np.ndarray:
     """Return object rows as `[x_m, z_m, score]` from a GPR collection."""
     points_payload = collection_payload_by_name(collection, "gpr_points", kind=4)
@@ -46,33 +30,4 @@ def gpr_object_rows(collection: ResultCollection) -> np.ndarray:
         if points.ndim == 2 and points.shape[1] >= 3:
             return points[:, :3]
 
-    centers_payload = collection_payload_by_name(collection, "gpr_region_centers", kind=4)
-    if centers_payload is not None:
-        centers = np.asarray(centers_payload.table, dtype=np.float32)
-        if centers.ndim == 2 and centers.shape[1] >= 3:
-            return centers[:, :3]
-
     return np.zeros((0, 3), dtype=np.float32)
-
-
-def filter_object_rows(
-    rows: np.ndarray,
-    *,
-    min_score: float,
-    x_bounds: tuple[float, float],
-    z_bounds: tuple[float, float],
-) -> np.ndarray:
-    """Keep finite objects inside the visible window and above the score threshold."""
-    if rows.size == 0:
-        return rows
-    x_min, x_max = x_bounds
-    z_min, z_max = z_bounds
-    visible_mask = (
-        np.all(np.isfinite(rows[:, :3]), axis=1)
-        & (rows[:, 2] >= min_score)
-        & (rows[:, 0] >= x_min)
-        & (rows[:, 0] <= x_max)
-        & (rows[:, 1] >= z_min)
-        & (rows[:, 1] <= z_max)
-    )
-    return rows[visible_mask]