Question

我在将转换后的数组分配给新变量时遇到了ValueError。我希望变量img_hogs由每个图像的HoG特征组成。所以它是一个2D数组，其中每一行代表一个图像的HoG特征。

tmp_hogs = [] 

for filen in out: # get hog features for each training image
        filepath = "C:\\path\\cropped_cars\\"
        readfile = filepath + filen
        curr_img = color.rgb2gray(io.imread(readfile))
        imgs.append(curr_img)
        fd, hog_image = hog(curr_img, orientations=8, pixels_per_cell=(16, 16),
                 cells_per_block=(1, 1), visualise=True, normalise=True)
        tmp_hogs.append(fd)
        i+=1

img_hogs = np.array(tmp_hogs, dtype=float)

错误出现在上面的最后一行，说：

Traceback (most recent call last):
  File "C:\path\gbc_classifier_test_2.py", line 71, in <module>
    img_hogs = np.array(tmp_hogs, dtype=float) 
ValueError: setting an array element with a sequence.

这里有什么问题？我之前似乎没有遇到过这个问题。我还没有将img_hogs初始化为任何内容。

修改

当我打印出tmp_hogs时，我得到数组，这是一个：

array([  9.43988506e-02,   1.16434393e-01,   1.66949456e-01,
         1.67258585e-01,   1.55137816e-01,   1.18421903e-01,
         7.17979933e-02,   1.07738525e-01,   5.04513644e-02,
         .. # and it goes on for about 270 lines...
         1.02937285e-01,   3.79174496e-02,         2.82693731e-02])

然后这个：

, array([ 0.17943262,  0.17266624,  0.18836   , ...,  0.03710205,
        0.01623901,  0.00623639]), array([ 0.12019744,  0.18129971,  0.17268482, ...,  0.03478858,
        0.01075355,  0.0086803 ]), array([ 0.13604284,  0.11251585,  0.13396777, ...,  0.07344526,
        0.01842701,  0.00995614]), array([ 0.09036218,  0.15552837,  0.14932259, ...,  0.09498851,
        0.08212626,  0.01198428]), array([ 0.03504824,  0.07993138,  0.08090841, ...,  0.0207428 ,
        0.00867545,  0.00285672]), array([ 0.05378212,  0.01994047,  0.03666057, ...,  0.09112556,
        0.02215141,  0.01434096]), array([ 0.14161055,  0.14635719,  0.1749262 , ...,  0.03148477,
        0.02349815,  0.02309164]), array([ 0.11262369,  0.10024635,  0.14424181, ...,  0.08426981,
        0.0486145 ,  0.026758  ]), array([ 0.03906336,  0.03750173,  0.13635017, ...,  0.13814893,
        0.07869883,  0.05370808]), array([ 0.04162636,  0.053963  ,  0.10114257, ...,  0.10504406,
        0.03798734,  0.01648739]), array([ 0.02912047,  0.05139863,  0.13072171, ...,  0.14025979,
        0.03743591,  0.01188805]), array([ 0.06857062,  0.09075094,  0.20136449, ...,  0.09126319,
        0.05310212,  0.05257662]), array([ 0.02797054,  0.01915037,  0.09330322, ...,  0.078432  ,
        0.02443184,  0.0265646 ]), array([ 0.1754544 ,  0.10865344,  0.23155207, ...,  0.10221248,
        0.07416729,  0.02623395]), array([ 0.0574084 ,  0.05975376,  0.17089832, ...,  0.11830615,
        0.05896331,  0.02676903])]

等等。

Answer 1

哎呀 - 答案很简单。在取出HoG功能之前，我必须首先调整所有图像的大小，以便阵列的大小可以相同。

所以在将每个图像附加到imgs列表之前，我添加了这一行：

curr_img = resize(curr_img, (50,100))

解决了这个问题。

ValueError：在尝试存储图像HoG功能时设置带有序列的数组元素

修改

1 个答案: