fix H5 scaling and 3D view, carousel reset

scripts/inspect_h5.py

@@ -0,0 +1,69 @@
+"""
+Inspect DimScaling and DimExtents metadata in an Asylum Research HDF5 file.
+
+Usage:
+    python scripts/inspect_h5.py /path/to/your/file.h5
+"""
+import sys
+import numpy as np
+
+try:
+    import h5py
+except ImportError:
+    print("pip install h5py")
+    sys.exit(1)
+
+if len(sys.argv) < 2:
+    print("Usage: python scripts/inspect_h5.py <file.h5>")
+    sys.exit(1)
+
+path = sys.argv[1]
+
+with h5py.File(path, "r") as f:
+    channels_path = "Image/DataSetInfo/Global/Channels"
+    grp = f.get(channels_path)
+    if grp is None:
+        print("No Image/DataSetInfo/Global/Channels group found")
+        sys.exit(1)
+
+    for ch_name in grp:
+        dims_path = f"{channels_path}/{ch_name}/ImageDims"
+        dims_grp = f.get(dims_path)
+        if dims_grp is None:
+            print(f"{ch_name}: no ImageDims group")
+            continue
+
+        print(f"\n=== Channel: {ch_name} ===")
+
+        scaling = dims_grp.attrs.get("DimScaling")
+        if scaling is not None:
+            s = np.asarray(scaling, dtype=float)
+            print(f"  DimScaling shape:   {s.shape}")
+            print(f"  DimScaling[0,:]:    {s[0]}  (row 0)")
+            print(f"  DimScaling[1,:]:    {s[1]}  (row 1)")
+            print(f"  --- If [start, end] interpretation ---")
+            print(f"    xreal (row1 range) = {abs(s[1,1] - s[1,0])}")
+            print(f"    yreal (row0 range) = {abs(s[0,1] - s[0,0])}")
+            print(f"  --- If [step, offset] interpretation ---")
+            print(f"    row0: step={s[0,0]}  offset={s[0,1]}")
+            print(f"    row1: step={s[1,0]}  offset={s[1,1]}")
+        else:
+            print("  DimScaling: not found")
+
+        dim_units = dims_grp.attrs.get("DimUnits")
+        print(f"  DimUnits:           {dim_units}")
+
+        data_units = dims_grp.attrs.get("DataUnits")
+        print(f"  DataUnits:          {data_units}")
+
+        for child_name in dims_grp:
+            child = dims_grp[child_name]
+            if isinstance(child, h5py.Group) and "DimExtents" in child.attrs:
+                ext = np.asarray(child.attrs["DimExtents"])
+                print(f"  DimExtents ('{child_name}'): {ext}")
+
+    print("\n=== 2D dataset shapes ===")
+    def _visit(name, obj):
+        if isinstance(obj, h5py.Dataset) and obj.ndim == 2:
+            print(f"  {name}  shape={obj.shape}")
+    f.visititems(_visit)