修改深色模式下结果图片显示异常

app/plots/plot_accuracy.py

@@ -9,7 +9,10 @@ from typing import TYPE_CHECKING
 
 from matplotlib.patches import Rectangle
 from matplotlib.lines import Line2D
-from matplotlib.patches import Circle
+import matplotlib.colors as mcolors
+import numpy as np
+
+from app.views.modern_styles import get_theme_palette
 
 from app.plots.gamut_background import get_cie1976_background
 from app.tests.color_accuracy import get_accuracy_color_standards
@@ -112,6 +115,9 @@ def _draw_left_panel(ax, color_patches, delta_e_values, font_scale=1.0, dark_mod
         spine.set_linewidth(0.9)
 
 
+
+
+
 # ============================================================
 # 子图：CIE 1976 u'v' 色度图（目标 vs 实测）
 # ============================================================
@@ -121,12 +127,14 @@ def _draw_uv_diagram(ax, color_patches, measurements, standards, font_scale=1.0,
     ax.clear()
     try:
         bg, bbox = get_cie1976_background()
+        if bg.shape[-1] == 4:
+            bg = bg[:, :, :3]
         xmin, xmax, ymin, ymax = bbox
         ax.imshow(
             bg,
             extent=(xmin, xmax, ymin, ymax),
             origin="lower",
-            interpolation="bicubic",
+            interpolation="bilinear",
             zorder=0,
             aspect="auto",
         )
@@ -181,8 +189,10 @@ def _draw_uv_diagram(ax, color_patches, measurements, standards, font_scale=1.0,
         s_u, s_v = _xy_to_uv(sx, sy)
 
         # face = get_patch_color_from_xy(name, (sx, sy)).strip().upper()
-        face = _COLOR_MAP.get(name, "#888888")
-        print(name, face)
+        face = _COLOR_MAP.get(name, "#FFFFFF")
+        # face = get_patch_color_from_xy(name, (mx, my))
+        # face = "#FF0000"
+
 
         # 目标点（Target） 空心方框
         ax.scatter(
@@ -300,17 +310,24 @@ def _draw_result_judgement(ax, accuracy_data, font_scale=1.0, dark_mode=False):
 
 def plot_accuracy(self: "PQAutomationApp", accuracy_data, test_type):
     """绘制色准测试结果 - Calman 风格（色块 + CIE 1976 u'v' + 统计）。"""
-
-    fig = self.accuracy_fig
-    fig.clear()
-
+    palette = get_theme_palette()
     try:
         from app.views.theme_manager import is_dark
         dark_mode = is_dark()
     except Exception:
         dark_mode = False
 
-    fig.patch.set_facecolor("#1B1F24" if dark_mode else "#FFFFFF")
+    fig = self.accuracy_fig
+    fig.clear()
+    try:
+        fig.set_layout_engine(None)
+    except Exception:
+        try:
+            fig.set_tight_layout(False)
+        except Exception:
+            pass
+
+    fig.patch.set_facecolor(palette["bg"])
 
     # 根据当前画布像素尺寸动态缩放字体，避免窗口缩小时文字挤压重叠。
     font_scale = 1.0
@@ -341,13 +358,12 @@ def plot_accuracy(self: "PQAutomationApp", accuracy_data, test_type):
     else:
         title = f"{test_type_name} - 色准测试（全 29色 | Gamma {target_gamma}）"
 
-    title_color = "#F3F5F7" if dark_mode else "#111"
     fig.suptitle(
         title,
         fontsize=max(8, 11 * font_scale),
         y=0.975,
         fontweight="bold",
-        color=title_color,
+        color=palette["fg"],
     )
 
     gs = fig.add_gridspec(
@@ -362,6 +378,8 @@ def plot_accuracy(self: "PQAutomationApp", accuracy_data, test_type):
     ax_left = fig.add_subplot(gs[0, 0])
     ax_uv = fig.add_subplot(gs[0, 1])
     ax_judge = fig.add_subplot(gs[1, :])
+    for ax in (ax_left, ax_uv, ax_judge):
+        ax.set_facecolor(palette["card_bg"])
 
     # 兼容外部对 self.accuracy_ax 的引用
     self.accuracy_ax = ax_judge