预期 2 得 0答案

【问题标题】：Expected 2 got 0预期 2 得 0
【发布时间】：2019-11-08 21:59:14
【问题描述】：

您好，我想知道如何解决这个问题，因为它预计会收到两个，但它什么也没得到？此外，我一直在尝试运行名为这个 github 的代码，但我遇到了很多错误。代码可见https://github.com/CSAILVision/IBD

我已尝试删除下划线字符并编辑代码，使其没有任何红线阻止其运行

import os
import settings
from loader.model_loader import loadmodel
from util.feature_operation import FeatureOperator
from util.clean import clean
from util.feature_decoder import SingleSigmoidFeatureClassifier
from util.image_operation import *
from PIL import Image
import numpy as np

from imageio import imread


from visualize.plot import random_color
from torch.autograd import Variable as V
import torch


model = 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]] = 1
loading features layer4
Traceback (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)

【问题讨论】：

您遇到了一个错误，而不是 0。我们应该在这里提供什么帮助？

标签： python python-3.x machine-learning graphics computer-vision

【解决方案1】：

阅读代码和错误信息：

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

您尝试分配两个值，但 feature_extraction 根本没有返回任何值。重新访问文档和使用说明？

【讨论】：

好的！非常感谢！