将图片转换为英文显示

app.py

@@ -5,8 +5,6 @@ from ultralytics import YOLO
 import matplotlib.pyplot as plt
 import io
 from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
-plt.rcParams['font.family'] = 'SimHei'  # 用来正常显示中文标签
-plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号
 model = YOLO(r'pcb-best.pt')
 
 
@@ -38,10 +36,10 @@ def predict(img, conf, iou):
     categories = ['Copper', 'Mousebite', 'Open Defect', 'Pin Hole', 'Short', 'Spur']
     counts = [copper, mousebite, open_defect, pin_hole, short, spur]
     ax.bar(categories, counts)
-    ax.set_title('缺陷类别计数')
+    ax.set_title('Category-Count')
     plt.ylim(0,5)
-    ax.set_xlabel('缺陷类别')
-    ax.set_ylabel('数目')
+    ax.set_xlabel('Category')
+    ax.set_ylabel('Count')
     # 将图表保存为字节流
     buf = io.BytesIO()
     canvas = FigureCanvas(fig)