[英](How) can I normalize the HSV's v value to be between 0 and 1 with the help of opencv and python?
As I want to categorize and compare photos in terms of their brightness, I want to normalize the V values (HSV) to be between 0 and 1 - with 1 being the brightest.因为我想根据亮度对照片进行分类和比较,所以我想将 V 值 (HSV) 标准化为 0 和 1 之间 - 其中 1 是最亮的。 I use opencv with python.
我使用 opencv 和 python。 Thank you in advance
先感谢您
import cv2
import numpy as np
# Read an image
frame = cv2.imread("Path/to/img")
# Convert it to hsv
hsv = cv2.cvtColor(frame, cv.COLOR_BGR2HSV)
# Get the V channel
v=hsv[:,:,2]
# Convert it to float
v=v.astype(np.float32)
# Normalize to brightest value
v/=np.amax(v)
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