Fixed Classify offsets (#9155)

classify/predict.py

@@ -136,7 +136,7 @@ def run(
             # Write results
             if save_img or view_img:  # Add bbox to image
                 text = '\n'.join(f'{prob[j]:.2f} {names[j]}' for j in top5i)
-                annotator.text((64, 64), text, txt_color=(255, 255, 255))
+                annotator.text((32, 32), text, txt_color=(255, 255, 255))
 
             # Stream results
             im0 = annotator.result()

utils/plots.py

@@ -117,10 +117,12 @@ class Annotator:
         # Add rectangle to image (PIL-only)
         self.draw.rectangle(xy, fill, outline, width)
 
-    def text(self, xy, text, txt_color=(255, 255, 255)):
+    def text(self, xy, text, txt_color=(255, 255, 255), anchor='top'):
         # Add text to image (PIL-only)
-        w, h = self.font.getsize(text)  # text width, height
+        if anchor == 'bottom':  # start y from font bottom
-        self.draw.text((xy[0], xy[1] - h + 1), text, fill=txt_color, font=self.font)
+            w, h = self.font.getsize(text)  # text width, height
+            xy[1] += 1 - h
+        self.draw.text(xy, text, fill=txt_color, font=self.font)
 
     def result(self):
         # Return annotated image as array
@@ -222,7 +224,7 @@ def plot_images(images, targets, paths=None, fname='images.jpg', names=None, max
         x, y = int(w * (i // ns)), int(h * (i % ns))  # block origin
         annotator.rectangle([x, y, x + w, y + h], None, (255, 255, 255), width=2)  # borders
         if paths:
-            annotator.text((x + 5, y + 5 + h), text=Path(paths[i]).name[:40], txt_color=(220, 220, 220))  # filenames
+            annotator.text((x + 5, y + 5), text=Path(paths[i]).name[:40], txt_color=(220, 220, 220))  # filenames
         if len(targets) > 0:
             ti = targets[targets[:, 0] == i]  # image targets
             boxes = xywh2xyxy(ti[:, 2:6]).T