Replace toolbar with categorized menu system, standardize 'color', and improve CSV export

- Migrated toolbar to QMenuBar to fix UI crowding

- Categorized actions into File, Edit, Tools, and View

- Added dynamic theming to QMenuBar and QMenu

- Localized Export CSV delimiter and decimals for German Excel

- Padded exported CSV values for clean plain-text alignment

- Globally standardized the spelling of 'color'

- Removed duplicate code and old Tkinter codebase

tests/test_image_processor.py

@@ -0,0 +1,89 @@
+import numpy as np
+import pytest
+from PIL import Image
+
+from app.qt.image_processor import Stats, _rgb_to_hsv_numpy, QtImageProcessor
+
+
+def test_stats_summary():
+    s = Stats(
+        matches_all=50, total_all=100,
+        matches_keep=40, total_keep=80,
+        matches_excl=10, total_excl=20
+    )
+    
+    # Mock translator
+    def mock_t(key, **kwargs):
+        if key == "stats.placeholder":
+            return "Placeholder"
+        return f"{kwargs['with_pct']:.1f} {kwargs['without_pct']:.1f} {kwargs['excluded_pct']:.1f} {kwargs['excluded_match_pct']:.1f}"
+
+    res = s.summary(mock_t)
+    # with_pct: 40/80 = 50.0
+    # without_pct: 50/100 = 50.0
+    # excluded_pct: 20/100 = 20.0
+    # excluded_match_pct: 10/20 = 50.0
+    assert res == "50.0 50.0 20.0 50.0"
+
+def test_stats_empty():
+    s = Stats()
+    assert s.summary(lambda k, **kw: "Empty") == "Empty"
+
+
+def test_rgb_to_hsv_numpy():
+    # Test red
+    arr = np.array([[[1.0, 0.0, 0.0]]], dtype=np.float32)
+    hsv = _rgb_to_hsv_numpy(arr)
+    assert np.allclose(hsv[0, 0], [0.0, 100.0, 100.0])
+
+    # Test green
+    arr = np.array([[[0.0, 1.0, 0.0]]], dtype=np.float32)
+    hsv = _rgb_to_hsv_numpy(arr)
+    assert np.allclose(hsv[0, 0], [120.0, 100.0, 100.0])
+
+    # Test blue
+    arr = np.array([[[0.0, 0.0, 1.0]]], dtype=np.float32)
+    hsv = _rgb_to_hsv_numpy(arr)
+    assert np.allclose(hsv[0, 0], [240.0, 100.0, 100.0])
+
+    # Test white
+    arr = np.array([[[1.0, 1.0, 1.0]]], dtype=np.float32)
+    hsv = _rgb_to_hsv_numpy(arr)
+    assert np.allclose(hsv[0, 0], [0.0, 0.0, 100.0])
+
+    # Test black
+    arr = np.array([[[0.0, 0.0, 0.0]]], dtype=np.float32)
+    hsv = _rgb_to_hsv_numpy(arr)
+    assert np.allclose(hsv[0, 0], [0.0, 0.0, 0.0])
+
+
+def test_qt_processor_matches_legacy():
+    proc = QtImageProcessor()
+    proc.hue_min = 350
+    proc.hue_max = 10
+    proc.sat_min = 50
+    proc.val_min = 50
+    proc.val_max = 100
+
+    # Red wraps around 360, so H=0 -> ok
+    assert proc._matches(255, 0, 0) is True
+    # Green H=120 -> fail
+    assert proc._matches(0, 255, 0) is False
+    # Dark red S=100, V=25 -> fail because val_min=50
+    assert proc._matches(64, 0, 0) is False
+
+def test_set_overlay_color():
+    proc = QtImageProcessor()
+    # default red
+    assert proc.overlay_r == 255
+    assert proc.overlay_g == 0
+    assert proc.overlay_b == 0
+
+    proc.set_overlay_color("#00ff00")
+    assert proc.overlay_r == 0
+    assert proc.overlay_g == 255
+    assert proc.overlay_b == 0
+
+    # invalid hex does nothing
+    proc.set_overlay_color("blue")
+    assert proc.overlay_r == 0