the problems occurred when i wanted to train my own dataset, and i have no idea to solve it
Traceback (most recent call last):
File "E:\Users\Lenovo\Desktop\unet\train.py", line 213, in
train_model(
File "E:\Users\Lenovo\Desktop\unet\train.py", line 43, in train_model
dataset = CarvanaDataset(dir_img, dir_mask, img_scale) #对图像进行寻找,缩放
File "E:\Users\Lenovo\Desktop\unet\utils\data_loading.py", line 117, in init
super().init(images_dir, mask_dir, scale, mask_suffix='_mask')
File "E:\Users\Lenovo\Desktop\unet\utils\data_loading.py", line 58, in init
self.mask_values = list(sorted(np.unique(np.concatenate(unique), axis=0).tolist()))
File "<array_function internals>", line 180, in concatenate
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 2 dimension(s) and the array at index 1 has 1 dimension(s)