尝试将数据重塑为图像,如下所示。一切都运作良好,除了最后一行代码:
y[i]=image2
我想将结果存储在新变量y
中。我在第[{1}}行代码中收到此错误:
y[i]=image2
我的代码:
**ValueError: could not broadcast input array from shape (1,3072) into shape (32,3)**
答案 0 :(得分:0)
问题在于额外的维度。将(1, 3072)
替换为3072
编辑:
您的代码也存在更多问题。 Y
未定义,并且按行image_result= reshape(image2, (1, 3072))
我认为您的确意味着:
image2 = reshape(image_result, (1, 3072))
新代码应如下所示(未经测试):
from numpy import *
import cPickle
import scipy.io as io
from random import randrange
Y = zeros([len(batch_1['data'][:]),3072])
for i in range(len(batch_1['data'][:])): #len() =10000
image = batch_1['data'][i]
image.shape = (3, 32, 32)
image_result = copy(image.transpose((1, 2, 0)))
image2 = reshape(image_result, (1, 3072))
y[i]=image2