reverse plotting low to high confidence

detect.py

@@ -100,7 +100,7 @@ def detect(save_img=False):
                     s += '%g %ss, ' % (n, names[int(c)])  # add to string
 
                 # Write results
-                for *xyxy, conf, cls in det:
+                for *xyxy, conf, cls in reversed(det):
                     if save_txt:  # Write to file
                         xywh = (xyxy2xywh(torch.tensor(xyxy).view(1, 4)) / gn).view(-1).tolist()  # normalized xywh
                         with open(txt_path + '.txt', 'a') as f: