def __getitem__打印报错

[wstchh]

class VeriWild(Dataset):
    """Dataset for Vehicle and other similar data structure, such as VeRI-Wild, SOP, Inshop...
    Args:
        image_root (str): image root
        cls_label_path (str): path to annotation file
        transform_ops (List[Callable], optional): list of transform op(s). Defaults to None.
        backend (str, optional): pil or cv2. Defaults to "cv2".
        relabel (bool, optional): whether do relabel when original label do not starts from 0 or are discontinuous. Defaults to False.
    """
    def __init__(self, image_root, cls_label_path, transform_ops=None, backend="cv2", relabel=False):
        self._img_root = image_root
        self._cls_path = cls_label_path
        if transform_ops:
            self._transform_ops = create_operators(transform_ops)
        self.backend = backend
        self._dtype = paddle.get_default_dtype()
        self._load_anno(relabel)
        
    def _load_anno(self, relabel):
        assert os.path.exists(self._cls_path), f"path {self._cls_path} does not exist."
        assert os.path.exists(self._img_root), f"path {self._img_root} does not exist."
        self.images = []
        self.labels = []
        self.cameras = []
        # 读取train.txt文件
        with open(self._cls_path) as fd:
            lines = fd.readlines()
            if relabel:
                label_set = set()
                for line in lines:
                    line = line.strip().split(",")
                    label_set.add(np.int64(line[1]))
                # 新-旧标签的映射
                label_map = {
                    oldlabel: newlabel
                    for newlabel, oldlabel in enumerate(label_set)
                }
            
            # 对于每一行进行遍历
            for line in lines:
                line = line.strip().split(",")
                # 图片img路径
                self.images.append(os.path.join(self._img_root, line[0]))
                # 标签label
                if relabel:
                    self.labels.append(label_map[np.int64(line[1])])
                else:
                    self.labels.append(np.int64(line[1]))
                # 图片id
                if len(line) >= 3:
                    self.cameras.append(np.int64(line[2]))
                # os.path.exists判断文件或文件夹是否存在
                assert os.path.exists(self.images[-1]), f"path {self.images[-1]} does not exist."

        self.has_camera = len(self.cameras) > 0

    def __getitem__(self, idx):
        try:
            if self.backend == "cv2":
                with open(self.images[idx], 'rb') as f:
                    img = f.read()
            else:
                img = Image.open(self.images[idx]).convert("RGB")
            # 执行数据增强操作
            if self._transform_ops:
                img = transform(img, self._transform_ops)
            # H,W,C-->C,H,W
            if self.backend == "cv2":
                img = img.transpose((2, 0, 1))
            if self.has_camera:
                return (img, self.labels[idx], self.cameras[idx])
            else:
                return (img, self.labels[idx])
        except Exception as ex:
            logger.error("Exception occured when parse line: {} with msg: {}".format(self.images[idx], ex))
            # 随机选择一个idx继续执行
            rnd_idx = np.random.randint(self.__len__())
            return self.__getitem__(rnd_idx)

    def __len__(self):
        return len(self.images)

    @property
    def class_num(self):
        return len(set(self.labels))

init和len函数里面都能打印，getitem打印不出来，很奇怪啊

[wstchh]

@jzhang533 @ZeyuChen @llxxxll @QingshuChen

[wstchh]

@liuhongen1234567

[cuicheng01]

方便详细提供下复现流程吗？