About UnboundLocalError: local variable 'labels' referenced before assignment

[ClayZhang0403]

当训练的时候就出现了这个问题UnboundLocalError: local variable 'labels' referenced before assignment，我的数据集中有一部分负样本，但是不知道这个问题该怎么解决，求楼主或者其他大佬赐教

[zbyuan]

13.2020/4/30在datasets.py 592行添加了支持负样本训练，默认注释掉.

[kimkimyoung]

把append缩进 ` # Load labels label_path = self.label_files[index] if os.path.isfile(label_path): x = self.labels[index] if x is None: # labels not preloaded with open(label_path, 'r') as f: x = np.array([x.split() for x in f.read().splitlines()], dtype=np.float32)

        if x.size > 0:
            # Normalized xywh to pixel xyxy format
            labels = x.copy()
            labels[:, 1] = w * (x[:, 1] - x[:, 3] / 2) + padw
            labels[:, 2] = h * (x[:, 2] - x[:, 4] / 2) + padh
            labels[:, 3] = w * (x[:, 1] + x[:, 3] / 2) + padw
            labels[:, 4] = h * (x[:, 2] + x[:, 4] / 2) + padh

            labels4.append(labels)
if len(labels4):
    labels4 = np.concatenate(labels4, 0)`

[wsypy]

把append缩进 ` # Load labels label_path = self.label_files[index] if os.path.isfile(label_path): x = self.labels[index] if x is None: # labels not preloaded with open(label_path, 'r') as f: x = np.array([x.split() for x in f.read().splitlines()], dtype=np.float32)

        if x.size > 0:
            # Normalized xywh to pixel xyxy format
            labels = x.copy()
            labels[:, 1] = w * (x[:, 1] - x[:, 3] / 2) + padw
            labels[:, 2] = h * (x[:, 2] - x[:, 4] / 2) + padh
            labels[:, 3] = w * (x[:, 1] + x[:, 3] / 2) + padw
            labels[:, 4] = h * (x[:, 2] + x[:, 4] / 2) + padh

            labels4.append(labels)
if len(labels4):
    labels4 = np.concatenate(labels4, 0)`

没看明白啥意思。能再明确些吗，我也有负样本，这里出错了，谢谢