为什么我会在Scikit-图像中获得定向梯度(HOG)特征的直方图

Question

我正在尝试生成数量级直方图。我看到文档中的示例的错误。

File "/Users/air/Projects/cs512-f17-project/SIFT/hog.py", line 10, in <module>
    cells_per_block=(1, 1), visualize=True)
TypeError: hog() got an unexpected keyword argument 'visualize'

http://scikit-image.org/docs/dev/auto_examples/features_detection/plot_hog.html

import matplotlib.pyplot as plt
from skimage.feature import hog
from skimage import data, color, exposure

image = color.rgb2gray(data.astronaut())
fd, hog_image = hog(image, orientations=8, pixels_per_cell=(32, 32),
                    cells_per_block=(1, 1), visualize=True)
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(8, 4), sharex=True, sharey=True)
ax1.axis('off')
ax1.imshow(image, cmap=plt.cm.gray)
ax1.set_title('Input image')
ax1.set_adjustable('box-forced')
# Rescale histogram for better display
hog_image_rescaled = exposure.rescale_intensity(hog_image, in_range=(0, 0.02))
ax2.axis('off')
ax2.imshow(hog_image_rescaled, cmap=plt.cm.gray)
ax2.set_title('Histogram of Oriented Gradients')
ax1.set_adjustable('box-forced')
plt.show()

Answer 1

visualize参数是在scikit-image=0.14dev中介绍的，旨在替换旧参数visualise。在scikit-image=0.13.x中，没有参数visualize（http://scikit-image.org/docs/0.13.x/api/skimage.feature.html?highlight = highlight = hog#skimage.feature.hog）。请确保您正在查看文档的stable版本。