python中有OpenCV颜色映射吗?

python中有OpenCV颜色映射吗?,python,opencv,Python,Opencv,我知道。文档说明了C++的用法。我想知道使用cv2的python是否也存在这样的选项。我在谷歌上搜索了很多,什么也没找到。我知道matplotlib的colormap选项可以使用,但是如果cv2提供了这样的选项,我可以消除将matplotlib colormaps转换为opencv图像的开销。它很笨拙。我的项目需要它。遗憾的是,它似乎还没有进入python api。但是,您可以查看modules/contrib/src/colormap.cpp中的实现,例如,jetmap只是一个查找表,您可以将

我知道。文档说明了C++的用法。我想知道使用cv2的python是否也存在这样的选项。我在谷歌上搜索了很多,什么也没找到。我知道matplotlib的colormap选项可以使用,但是如果cv2提供了这样的选项,我可以消除将matplotlib colormaps转换为opencv图像的开销。它很笨拙。我的项目需要它。

遗憾的是,它似乎还没有进入python api。但是,您可以查看modules/contrib/src/colormap.cpp中的实现,例如,jetmap只是一个查找表,您可以将其偷走

遗憾的是,OpenCV没有任何颜色映射,但您可以编写一个。没那么难

class ColorMap:
    startcolor = ()
    endcolor = ()
    startmap = 0
    endmap = 0
    colordistance = 0
    valuerange = 0
    ratios = []    

    def __init__(self, startcolor, endcolor, startmap, endmap):
        self.startcolor = np.array(startcolor)
        self.endcolor = np.array(endcolor)
        self.startmap = float(startmap)
        self.endmap = float(endmap)
        self.valuerange = float(endmap - startmap)
        self.ratios = (self.endcolor - self.startcolor) / self.valuerange

    def __getitem__(self, value):
        color = tuple(self.startcolor + (self.ratios * (value - self.startmap)))
        return (int(color[0]), int(color[1]), int(color[2]))

对于OpenCV 2.4.11,
applyColorMap
在Python中工作(尽管列表仍然仅限于C++):


另请参见。

无法在Python中使用前面的applyColorMap示例。 我想我和你一样。 我为“肥胖”道歉。 如果您的摄像机未被识别,或有多个摄像机,请用“1”代替“0”

import cv2
import numpy as np

frameWidth = 940
frameHeight = 680
cap = cv2.VideoCapture(0)
cap.set(3, frameWidth)  # 3=width, 4=height
cap.set(4, frameHeight)

while True:
    success, imgColor, = cap.read()
    img = cv2.resize(imgColor, (frameWidth, frameHeight))  # if want to resize frame
    
    # ORIG IMG
    cv2.moveWindow("img", 0, 0)  # relocate shift reposition move so frame is at top left corner of monitor
    cv2.imshow("img", img)
    
    # COLOR ENHANCED
    cv2.moveWindow("imgColor", frameWidth, 0)  # relocate shift reposition move to side by side
    # COLORMAP_AUTUMN = 0
    # COLORMAP_BONE = 1
    # COLORMAP_COOL = 8
    # COLORMAP_HOT = 11
    # COLORMAP_HSV = 9
    # COLORMAP_JET = 2
    # COLORMAP_OCEAN = 5
    # COLORMAP_PINK = 10
    # COLORMAP_RAINBOW = 4
    # COLORMAP_SPRING = 7
    # COLORMAP_SUMMER = 6
    # COLORMAP_WINTER = 3
    cv2.imshow("imgColor", cv2.applyColorMap(imgColor, 3))  # change the last variable in here

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

我真的希望它已经实施了。。。。。。很好,我会继续的。谢谢你能用一个例子来解释这应该如何工作吗?
import cv2
import numpy as np

frameWidth = 940
frameHeight = 680
cap = cv2.VideoCapture(0)
cap.set(3, frameWidth)  # 3=width, 4=height
cap.set(4, frameHeight)

while True:
    success, imgColor, = cap.read()
    img = cv2.resize(imgColor, (frameWidth, frameHeight))  # if want to resize frame
    
    # ORIG IMG
    cv2.moveWindow("img", 0, 0)  # relocate shift reposition move so frame is at top left corner of monitor
    cv2.imshow("img", img)
    
    # COLOR ENHANCED
    cv2.moveWindow("imgColor", frameWidth, 0)  # relocate shift reposition move to side by side
    # COLORMAP_AUTUMN = 0
    # COLORMAP_BONE = 1
    # COLORMAP_COOL = 8
    # COLORMAP_HOT = 11
    # COLORMAP_HSV = 9
    # COLORMAP_JET = 2
    # COLORMAP_OCEAN = 5
    # COLORMAP_PINK = 10
    # COLORMAP_RAINBOW = 4
    # COLORMAP_SPRING = 7
    # COLORMAP_SUMMER = 6
    # COLORMAP_WINTER = 3
    cv2.imshow("imgColor", cv2.applyColorMap(imgColor, 3))  # change the last variable in here

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break