Ankle/yolov5_birdproject
1
0 Fork 0
Code Issues Pull Requests Actions 3 Packages Projects Releases Wiki Activity

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

Browse Source
This commit is contained in:
Glenn Jocher authored and GitHub committed 2020-11-29 11:59:52 +01:00
1 parent 9fa7f9f598
commit cff9263490
1 file changed
+2 -2
Download Patch File Download Diff File Expand all files Collapse all files
utils/datasets.py
+2 -2
View File
@@ -450,7 +450,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
if os.path.isfile(lb_file): if os.path.isfile(lb_file):
nf += 1 # label found nf += 1 # label found
with open(lb_file, 'r') as f: 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): if len(l):
assert l.shape[1] == 5, 'labels require 5 columns each' assert l.shape[1] == 5, 'labels require 5 columns each'
assert (l >= 0).all(), 'negative labels' 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]) lb_file = Path(img2label_paths([str(im_file)])[0])
if Path(lb_file).exists(): if Path(lb_file).exists():
with open(lb_file, 'r') as f: 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): for j, x in enumerate(lb):
c = int(x[0]) # class c = int(x[0]) # class