ValueError: the input array must have size 3 along `channel_axis`, got (80, 512)

[chinmaysahu]

~\Envs\Iris\lib\site-packages\imquality\brisque.py in score(image, kernel_size, sigma) 158 159 def score(image: PIL.Image.Image, kernel_size=7, sigma=7 / 6) -> float: --> 160 scaled_features = calculate_features(image, kernel_size, sigma) 161 return predict(scaled_features)

~\Envs\Iris\lib\site-packages\imquality\brisque.py in calculate_features(image, kernel_size, sigma) 128 129 def calculate_features(image: PIL.Image, kernel_size, sigma) -> numpy.ndarray: --> 130 brisque = Brisque(image, kernel_size=kernel_size, sigma=sigma) 131 # WARNING: The algorithm is very sensitive to rescale 132 # FIXME: this is empirically the best configuration; however, scikit-image warns about bi-quadratic implementation.

~\Envs\Iris\lib\site-packages\imquality\brisque.py in init(self, image, kernel_size, sigma) 43 ): 44 self.image = pil2ndarray(image) ---> 45 self.image = skimage.color.rgb2gray(self.image) 46 self.kernel_size = kernel_size 47 self.sigma = sigma

~\Envs\Iris\lib\site-packages\skimage_shared\utils.py in fixed_func(*args, *kwargs) 336 337 if channel_axis is None: --> 338 return func(args, **kwargs) 339 340 # TODO: convert scalars to a tuple in anticipation of eventually

~\Envs\Iris\lib\site-packages\skimage\color\colorconv.py in rgb2gray(rgb, channel_axis) 873 >>> img_gray = rgb2gray(img) 874 """ --> 875 rgb = _prepare_colorarray(rgb) 876 coeffs = np.array([0.2125, 0.7154, 0.0721], dtype=rgb.dtype) 877 return rgb @ coeffs

~\Envs\Iris\lib\site-packages\skimage\color\colorconv.py in _prepare_colorarray(arr, force_copy, channel_axis) 138 msg = (f'the input array must have size 3 along channel_axis, ' 139 f'got {arr.shape}') --> 140 raise ValueError(msg) 141 142 float_dtype = _supported_float_type(arr.dtype)

ValueError: the input array must have size 3 along channel_axis, got (80, 512)

[giuseppe-toscano]

I encountered the same problem...

[Jackok99]

I had same problem for a long time.

[Jackok99]

ValueError: the input array must have size 3 along channel_axis, got (256, 384)

[soheilnavvabi]

anyone got any solution for this issue?

[njay225]

I found a solution to this issue. The problem is that in the calculate_features function in brisque.py, two Brisque objects get created.

Within the constructor of the Brique class, the function skimage.color.rgb2gray() gets called.

Back to the calculate_features method, the first Brique object that gets called, the input image is RGB; however, the second Brique object that gets called is already in grayscale. The skimage.color.rgb2gray() function throws an error that the input is already in grayscale as it expects 3 channels.

The solution was to add a condition around the call to skimage.color.rgb2gray() within the Brisque class.

Replace line 45 of `imquality/brisque.py' with:

# Only convert image to grayscale if RGB
if self.image.shape[-1] == 3:
    self.image = skimage.color.rgb2gray(self.image)

[nospotfer]

@ocampor please just merge this already when you have few minutes

[xerohackcom]

Merge it asap please! Serious issue.

[BMaser]

@njay225 ,

The error has not been resolved!

ValueError: the input array must have size 3 along channel_axis, got (336, 164)

[HodeiG]

@BMaser did you install the dependency directly from github master or did you use pip? I believe the latter won't work because a new package hasn't been rebuilt since Feb 2021: https://pypi.org/project/image-quality/#files

[BMaser]

@HodeiG : Thanks for the answer. I think as it is mentioned in the document, I simply installed it using Pypi. But I will try to install directly from github.

[HodeiG]

@ocampor I believe a new pypi package is needed that includes the fix https://github.com/ocampor/image-quality/pull/43. Otherwise the fix won't be generally available...

[BMaser]

@HodeiG and @ocampor , I installed the the package from the github master, but still I got the same error "the input array must have size 3 along channel_axis"

[sciencehope]

I have got the same error and I don't know how to solve it. ValueError: the input array must have size 3 alongchannel_axis, got (112, 112)

[kgonia]

@BMaser @stic-lab

try with

--upgrade --force-reinstall

pip install --upgrade --force-reinstall -U git+https://github.com/ocampor/image-quality@master

[Zircona]

Has this been fixed please? I'm trying to run the below tutorial, and it's throwing the same errors (even when trying with the github install).

import numpy as np
import matplotlib.pyplot as plt
from skimage.color import rgb2gray
from skimage import color, data, filters, morphology
from skimage.morphology import skeletonize

retina_source = data.retina()
retina = rgb2gray(retina_source) 

t0, t1 = filters. threshold_multiotsu(retina, classes =3)
mask = (retina > t0)

vessels = filters.sato(retina, sigmas = range(1, 10)) * mask
img_gray = rgb2gray(vessels)      

t = 0.015

binary_mask = img_gray > t
binary_mask = morphology.remove_small_objects(binary_mask, 2000)
plt.imshow(binary_mask, cmap = "gray")
plt.show()

skeleton = skeletonize(binary_mask)
pixel_count = int(np.sum(skeleton))

print("The Vascular architecture is", pixel_count, "pixels long")

This outputs:

Traceback (most recent call last): File "/home/user/Code/ex12_3.py", line 23, in img_gray = rgb2gray(vessels) File "/home/user/Code/venv/lib/python3.10/site-packages/skimage/_shared/utils.py", line 316, in fixed_func return func(*args, **kwargs) File "/home/user/Code/venv/lib/python3.10/site-packages/skimage/color/colorconv.py", line 945, in rgb2gray rgb = _prepare_colorarray(rgb) File "/home/user/Code/venv/lib/python3.10/site-packages/skimage/color/colorconv.py", line 146, in _prepare_colorarray raise ValueError(msg) ValueError: the input array must have size 3 along channel_axis, got (1411, 1411)