ValueError: Found array with 0 sample(s) (shape=(0, 3)) while a minimum of 1 is required by check_pairwise_arrays.

[laomeng0703]

感谢您的工作！
当我想训练train_SRGCAE_Local.py时，出现以下错误：

Traceback (most recent call last):
  File "/media/meng/57673667-4363-4453-89a5-a422016a5299/Meng_forked/code/change_detection/SRGCAE/train_SRGCAE_Local.py", line 150, in <module>
    train_model(args)
  File "/media/meng/57673667-4363-4453-89a5-a422016a5299/Meng_forked/code/change_detection/SRGCAE/train_SRGCAE_Local.py", line 51, in train_model
    am_set_t1 = construct_affinity_matrix(img_t1, objects, args.band_width_t1)
  File "/media/meng/57673667-4363-4453-89a5-a422016a5299/Meng_forked/code/change_detection/SRGCAE/aux_func/graph_func.py", line 26, in construct_affinity_matrix
    adj_mat = gaussian_kernel_distance(sub_object, band_width=band_width)
  File "/media/meng/57673667-4363-4453-89a5-a422016a5299/Meng_forked/code/change_detection/SRGCAE/aux_func/graph_func.py", line 6, in gaussian_kernel_distance
    euc_dis = pairwise_distances(vector)
  File "/home/meng/anaconda3/envs/torch1.11.0/lib/python3.8/site-packages/sklearn/metrics/pairwise.py", line 2195, in pairwise_distances
    return _parallel_pairwise(X, Y, func, n_jobs, **kwds)
  File "/home/meng/anaconda3/envs/torch1.11.0/lib/python3.8/site-packages/sklearn/metrics/pairwise.py", line 1765, in _parallel_pairwise
    return func(X, Y, **kwds)
  File "/home/meng/anaconda3/envs/torch1.11.0/lib/python3.8/site-packages/sklearn/metrics/pairwise.py", line 310, in euclidean_distances
    X, Y = check_pairwise_arrays(X, Y)
  File "/home/meng/anaconda3/envs/torch1.11.0/lib/python3.8/site-packages/sklearn/metrics/pairwise.py", line 156, in check_pairwise_arrays
    X = Y = check_array(
  File "/home/meng/anaconda3/envs/torch1.11.0/lib/python3.8/site-packages/sklearn/utils/validation.py", line 969, in check_array
    raise ValueError(
ValueError: Found array with 0 sample(s) (shape=(0, 3)) while a minimum of 1 is required by check_pairwise_arrays.

代码未做任何改动，使用的数据也是下载代码时附带的曙光数据集。请问为何会出现这个错误，该如何解决？谢谢。
我的环境：
python==3.8.13
pytorch==1.11.0
scikit-learn==1.3.0
imageio=2.31.1
numpy==1.23.1
gdal==3.6.2
opencv==4.8.0

[ChenHongruixuan]

Sorry for my late reply. And many thanks for your interest to our works!

The problem seems to be caused by the start value of the label of the object map. Maybe we are using a different version of the package. Starting from a certain version, the labels of the object map obtained with the slic algorithm will start from 1, not 0. Maybe you can target your code changes based on this.

Best regards,

[Broccoli77PP]

Sorry for my late reply. And many thanks for your interest to our works!

The problem seems to be caused by the start value of the label of the object map. Maybe we are using a different version of the package. Starting from a certain version, the labels of the object map obtained with the slic algorithm will start from 1, not 0. Maybe you can target your code changes based on this.

Best regards,

感谢您的工作！ 当我想训练train_SRGCAE_Local.py时，出现以下错误：

Traceback (most recent call last):
  File "/media/meng/57673667-4363-4453-89a5-a422016a5299/Meng_forked/code/change_detection/SRGCAE/train_SRGCAE_Local.py", line 150, in <module>
    train_model(args)
  File "/media/meng/57673667-4363-4453-89a5-a422016a5299/Meng_forked/code/change_detection/SRGCAE/train_SRGCAE_Local.py", line 51, in train_model
    am_set_t1 = construct_affinity_matrix(img_t1, objects, args.band_width_t1)
  File "/media/meng/57673667-4363-4453-89a5-a422016a5299/Meng_forked/code/change_detection/SRGCAE/aux_func/graph_func.py", line 26, in construct_affinity_matrix
    adj_mat = gaussian_kernel_distance(sub_object, band_width=band_width)
  File "/media/meng/57673667-4363-4453-89a5-a422016a5299/Meng_forked/code/change_detection/SRGCAE/aux_func/graph_func.py", line 6, in gaussian_kernel_distance
    euc_dis = pairwise_distances(vector)
  File "/home/meng/anaconda3/envs/torch1.11.0/lib/python3.8/site-packages/sklearn/metrics/pairwise.py", line 2195, in pairwise_distances
    return _parallel_pairwise(X, Y, func, n_jobs, **kwds)
  File "/home/meng/anaconda3/envs/torch1.11.0/lib/python3.8/site-packages/sklearn/metrics/pairwise.py", line 1765, in _parallel_pairwise
    return func(X, Y, **kwds)
  File "/home/meng/anaconda3/envs/torch1.11.0/lib/python3.8/site-packages/sklearn/metrics/pairwise.py", line 310, in euclidean_distances
    X, Y = check_pairwise_arrays(X, Y)
  File "/home/meng/anaconda3/envs/torch1.11.0/lib/python3.8/site-packages/sklearn/metrics/pairwise.py", line 156, in check_pairwise_arrays
    X = Y = check_array(
  File "/home/meng/anaconda3/envs/torch1.11.0/lib/python3.8/site-packages/sklearn/utils/validation.py", line 969, in check_array
    raise ValueError(
ValueError: Found array with 0 sample(s) (shape=(0, 3)) while a minimum of 1 is required by check_pairwise_arrays.

代码未做任何改动，使用的数据也是下载代码时附带的曙光数据集。请问为何会出现这个错误，该如何解决？谢谢。 我的环境： python==3.8.13 pytorch==1.11.0 scikit-learn==1.3.0 imageio=2.31.1 numpy==1.23.1 gdal==3.6.2 opencv==4.8.0

May I ask, have you solved this problem