您好，我想知道当预期接收两个值却什么也没得到时，该如何解决这个问题？此外，我尝试运行这个GitHub上的代码，但遇到了许多错误。代码可以在https://github.com/CSAILVision/IBD查看

我尝试删除下划线字符并编辑代码，以便没有红色下划线阻止其运行

import osimport settingsfrom loader.model_loader import loadmodelfrom util.feature_operation import FeatureOperatorfrom util.clean import cleanfrom util.feature_decoder import SingleSigmoidFeatureClassifierfrom util.image_operation import *from PIL import Imageimport numpy as npfrom imageio import imreadfrom visualize.plot import random_colorfrom torch.autograd import Variable as Vimport torchmodel = loadmodel()fo = FeatureOperator()features, _ = fo.feature_extraction(0)for layer_id, layer in enumerate(settings.FEATURE_NAMES):    feat_clf = SingleSigmoidFeatureClassifier(feature=features[layer_id], layer=layer, fo=fo)    feat_clf.load_snapshot(14, unbiased=True)data_loader.py:156: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.  result[list(np.indices(arr.shape)) + [arr]] = 1loading features layer4Traceback (most recent call last):  File "test.py", line 26, in <module>    features, _ = fo.feature_extraction(0)ValueError: not enough values to unpack (expected 2, got 0)

回答：

阅读代码和错误信息：

features, _ = fo.feature_extraction(0)...not enough values to unpack (expected 2, got 0)

您试图分配两个值，但feature_extraction根本没有返回任何值。是否需要重新查看文档和使用说明？