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app.py

@@ -378,11 +378,11 @@ def _saliency_figure(sal, p_mean, net_names=None, net_bounds=None, net_colors=No
         for s, e in zip(_nb[:-1], _nb[1:])
     ])
 
-    fig = plt.figure(figsize=(20, 18))
+    fig = plt.figure(figsize=(20, 22))
     fig.patch.set_facecolor("#0e1015")
     import matplotlib.gridspec as gridspec
     gs = gridspec.GridSpec(2, 2, figure=fig, hspace=0.38, wspace=0.32,
-                           height_ratios=[1.1, 1.0])
+                           height_ratios=[1.0, 1.4])
     axes = [
         fig.add_subplot(gs[0, 0]),           # heatmap
         fig.add_subplot(gs[0, 1]),           # bar chart
@@ -423,8 +423,8 @@ def _saliency_figure(sal, p_mean, net_names=None, net_bounds=None, net_colors=No
     for i in range(n_nets):
         for j in range(n_nets):
             txt_color = "#111" if net_sal[i, j] > 0.6 * vmax else "#666"
-            ax.text(j, i, f"{net_sal[i, j]:.3f}", ha="center", va="center",
-                    fontsize=9, color=txt_color, zorder=3)
+            ax.text(j, i, f"{net_sal[i, j]:.5f}", ha="center", va="center",
+                    fontsize=7.5, color=txt_color, zorder=3)
             if (i, j) in top5_cells:
                 rect = plt.Rectangle((j - 0.48, i - 0.48), 0.96, 0.96,
                                       linewidth=1.8, edgecolor="#ffffff",