[人工智能]opencv_python学习（九）----cv自带colormap操作

opencv_python学习（九）----cv自带colormap操作

一、函数cv2.applyColorMap

功能：

在图像处理中，伪色彩用途广泛。在OpenCV库中，常见的伪色彩模式都可通过 cv2.applyColorMap(src, userColor[, dst]) 直接调用，很是方便快捷。
将对象按照cv内置colormap进行转换

API详解：

def applyColorMap(src: Any,colormap: Any,dst: Any = None) -> None

• src ：待转换对象
• colormap：内置map选择

二、一个demo

import cv2 as cv

def color_map_demo():
    image = cv.imread('图片路径')
    cv.imshow('input',image)
    colormap = [
        cv.COLORMAP_HOT,
        cv.COLORMAP_HSV,
        cv.COLORMAP_JET,
        cv.COLORMAP_MAGMA,
        cv.COLORMAP_COOL,
        cv.COLORMAP_SPRING,
        cv.COLORMAP_SUMMER,
        cv.COLORMAP_AUTUMN,
        cv.COLORMAP_WINTER,
        cv.COLORMAP_BONE,
        cv.COLORMAP_CIVIDIS,
        cv.COLORMAP_HOT,
        cv.COLORMAP_DEEPGREEN,
        cv.COLORMAP_INFERNO,
        cv.COLORMAP_OCEAN,
        cv.COLORMAP_PARULA,
        cv.COLORMAP_PINK,
        cv.COLORMAP_PLASMA,
        cv.COLORMAP_RAINBOW,
        cv.COLORMAP_TURBO,
        cv.COLORMAP_TWILIGHT,
        cv.COLORMAP_TWILIGHT_SHIFTED,
        cv.COLORMAP_VIRIDIS
    ]
    index = 0
    while True:
        #index 对23 取余数让index一直循环在0~22之间
        result = cv.applyColorMap(image,colormap[index%23]) 
        index +=1
        cv.imshow('result',result)
        c = cv.waitKey(300)
        if c == 27:
            break

cv.destroyAllWindows()

if __name__ == '__main__':
    color_map_demo()