I am trying to convert blue from BGR to HSV using OpenCV. My code is:
blue = np.uint8([[[255,0,0 ]]])
hsv_blue = cv2.cvtColor(blue, cv2.COLOR_BGR2HSV)
lo_square = np.full((10, 10, 3), hsv_blue, dtype=np.uint8) / 255.0
plt.subplot(1, 1, 1)
plt.imshow(hsv_to_rgb(lo_square))
plt.show()
And color that I am getting looks like this:
Why green value is 1? Where did opencv get it from?
For dtype
uint8
, h
assumes values between 0 and 180 when using cv2.cvtColor(blue, cv2.COLOR_BGR2HSV)
, so you should divide it by 180.
, not 255.
, even though the s and v values are in 0.. 255 ranges.
This works:
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.colors import hsv_to_rgb
from cv2 import cv2
blue = np.uint8([[[255, 0, 0]]])
hsv_blue = cv2.cvtColor(blue, cv2.COLOR_BGR2HSV)
lo_square = np.full((10, 10, 3), hsv_blue, dtype=np.uint8) / [180., 255., 255.]
plt.subplot(1, 1, 1)
plt.imshow(hsv_to_rgb(lo_square))
plt.show()
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