I am implementing the HOG(Histogram of Oriented Gradient) with below code.
import io
from skimage.io import imread, imshow
from skimage.feature import hog
from skimage import exposure
from skimage import io
import matplotlib
img = imread('cr7.jpeg')
io.imshow(img)
MC = True #Fpr color images
#MC = false #for grayscale images
hogfv, hog_image = hog(img, orientations=9,
pixels_per_cell=(32,32),
cells_per_block=(4,4),
visualize = True ,
channel_axis=MC)
hog_image_rescaled = exposure.rescale_intensity(hog_image, in_range=(0,5))
imshow(hog_image_rescaled)
I don't know why i am getting error of dimension.
Traceback (most recent call last):
File "main.py", line 22, in <module>
channel_axis=MC)
File "/Volumes/DATA/Djangoproject/HOG/env/lib/python3.7/site-packages/skimage/_shared/utils.py", line 427, in fixed_func
out = func(*new_args, **kwargs)
File "/Volumes/DATA/Djangoproject/HOG/env/lib/python3.7/site-packages/skimage/_shared/utils.py", line 348, in fixed_func
return func(*args, **kwargs)
File "/Volumes/DATA/Djangoproject/HOG/env/lib/python3.7/site-packages/skimage/feature/_hog.py", line 286, in hog
dtype=float_dtype
ValueError: negative dimensions are not allowed
(base) (env) c100-110@C100-110s-iMac-2 HOG % python main.py
Traceback (most recent call last):
File "main.py", line 18, in <module>
channel_axis=MC)
File "/Volumes/DATA/Djangoproject/HOG/env/lib/python3.7/site-packages/skimage/_shared/utils.py", line 427, in fixed_func
out = func(*new_args, **kwargs)
File "/Volumes/DATA/Djangoproject/HOG/env/lib/python3.7/site-packages/skimage/_shared/utils.py", line 348, in fixed_func
return func(*args, **kwargs)
File "/Volumes/DATA/Djangoproject/HOG/env/lib/python3.7/site-packages/skimage/feature/_hog.py", line 286, in hog
dtype=float_dtype
ValueError: negative dimensions are not allowed
Can anyone help me in finding solution to this error.
The error log says there is a problem in "line 22"
Traceback (most recent call last):
File "main.py", line 22, in <module>
channel_axis=MC)
...
ValueError: negative dimensions are not allowed
channel_axis
, it's the "channel axis"! So I guess it expects an integer, rather than a bool value.
It is confirmed in the source code:
channel_axis : int or None, optional
If None, the image is assumed to be a grayscale (single channel) image. Otherwise, this parameter indicates which axis of the array corresponds to channels.
I think you were trying to use multichannel
, which is deprecated:
multichannel : boolean, optional
If True, the last
image
dimension is considered as a color channel, otherwise as spatial. This argument is deprecated: specifychannel_axis
instead.