f.read().strip() (#1551)

utils/datasets.py

@@ -450,7 +450,7 @@ class LoadImagesAndLabels(Dataset):  # for training/testing
                 if os.path.isfile(lb_file):
                     nf += 1  # label found
                     with open(lb_file, 'r') as f:
-                        l = np.array([x.split() for x in f.read().splitlines()], dtype=np.float32)  # labels
+                        l = np.array([x.split() for x in f.read().strip().splitlines()], dtype=np.float32)  # labels
                     if len(l):
                         assert l.shape[1] == 5, 'labels require 5 columns each'
                         assert (l >= 0).all(), 'negative labels'
@@ -897,7 +897,7 @@ def extract_boxes(path='../coco128/'):  # from utils.datasets import *; extract_
             lb_file = Path(img2label_paths([str(im_file)])[0])
             if Path(lb_file).exists():
                 with open(lb_file, 'r') as f:
-                    lb = np.array([x.split() for x in f.read().splitlines()], dtype=np.float32)  # labels
+                    lb = np.array([x.split() for x in f.read().strip().splitlines()], dtype=np.float32)  # labels
 
                 for j, x in enumerate(lb):
                     c = int(x[0])  # class