Update app.py

app.py

@@ -48,13 +48,13 @@ def visualize_prediction(img, output_dict, threshold=0.5, id2label=None):
     if id2label is not None:
         labels = [id2label[x] for x in labels]
 
-    plt.figure(figsize=(70, 70))
+    plt.figure(figsize=(16, 16))
     plt.imshow(img)
     ax = plt.gca()
     colors = COLORS * 100
     for score, (xmin, ymin, xmax, ymax), label, color in zip(scores, boxes, labels, colors):
         ax.add_patch(plt.Rectangle((xmin, ymin), xmax - xmin, ymax - ymin, fill=False, color=color, linewidth=10))
-        ax.text(xmin, ymin, f"{label}: {score:0.2f}", fontsize=45, bbox=dict(facecolor="yellow", alpha=0.5))
+        ax.text(xmin, ymin, f"{label}: {score:0.2f}", fontsize=35, bbox=dict(facecolor="yellow", alpha=0.5))
     plt.axis("off")
     return fig2img(plt.gcf())