lu-tju / yolov3_pytorch Goto Github PK

E:\YOLOv3_pytorch\YOLOv3_pytorch-master\utils\datasets.py:160: UserWarning: loadtxt: Empty input file: "data/labels/006491.txt"
0/3 8/2241 0.0971 0.453 101 0 101 3 0.05
labels0 = np.loadtxt(label_path, dtype=np.float32).reshape(-1, 5)
E:\YOLOv3_pytorch\YOLOv3_pytorch-master\utils\datasets.py:160: UserWarning: loadtxt: Empty input file: "data/labels/008806.txt"
labels0 = np.loadtxt(label_path, dtype=np.float32).reshape(-1, 5)
E:\YOLOv3_pytorch\YOLOv3_pytorch-master\utils\datasets.py:160: UserWarning: loadtxt: Empty input file: "data/labels/003905.txt"
labels0 = np.loadtxt(label_path, dtype=np.float32).reshape(-1, 5)
E:\YOLOv3_pytorch\YOLOv3_pytorch-master\utils\datasets.py:160: UserWarning: loadtxt: Empty input file: "data/labels/000512.txt"
labels0 = np.loadtxt(label_path, dtype=np.float32).reshape(-1, 5)
Traceback (most recent call last):
File "E:/YOLOv3_pytorch/YOLOv3_pytorch-master/train.py", line 211, in
loss_list = train(
File "E:/YOLOv3_pytorch/YOLOv3_pytorch-master/train.py", line 112, in train
for i, (imgs, targets, _, _) in enumerate(dataloader):
File "E:\YOLOv3_pytorch\YOLOv3_pytorch-master\utils\datasets.py", line 216, in next
labels_all = torch.from_numpy(np.concatenate(labels_all, 0))
File "<array_function internals>", line 5, in concatenate
ValueError: need at least one array to concatenate
个人分析过后发现里面警告的部分是对应的label为空，没有标记数据，是不是需要改动代码