I am trying to run this code snippet:
from scipy.stats import wasserstein_distance
from imageio import imread
import numpy as np
def get_histogram(img):
h, w = img.shape
hist = [0.0] * 256
for i in range(h):
for j in range(w):
hist[img[i, j]] += 1
return np.array(hist) / (h * w)
a = imread("./IMG_4835.jpg")
b = imread("./IMG_4836.jpg")
a_hist = get_histogram(a)
b_hist = get_histogram(b)
dist = wasserstein_distance(a_hist, b_hist)
print(dist)
but I get an error at:
h, w = img.shape
b = imread('b.jpg', mode='L')
ValueError: too many values to unpack (expected 2)
The original code used:
from scipy.ndimage import imread
to read the image file but since I was unable to import it, I used imread from another library instead. Could that have anything to do with the error?
h,w = img.shape[:2]
should fix the problem.