最后,我们使用Matplotlib库中的subplot()和imshow()函数来显示原始图像和灰度图像。请注意,在显示灰度图像时,我们使用了cmap参数并将其设置为’gray’,以确保图像以灰度显示。通过以上步骤,你应该能够解决Matplotlib实验中出现NameError: name ‘rgb2gray’ is not defined的错误。如果你仍然遇到问题,请确保已经正确安装了...
试试image=cv2.cvtColor(image,cv2.COLOR_GRAY2RGB)你有一个错误的逗号。
试试image=cv2.cvtColor(image,cv2.COLOR_GRAY2RGB)你有一个错误的逗号。
An enumeration of print content types (e.g., general, photo, grayscale). UIProgressViewStyle The visual style for a UIProgressView. UIPushBehaviorMode An enumeration whose values specify whether a UIPushBehavior force is applied continuously or instantaneously. UIRectCorner An enumeration of the...
ActualGrayscaleBiasColorConverter ActualHighContrastConverter ActualImageLibraryConverter BitmapLocker CrispImage CrispImageWithCount 扩展方法 HslColor ImageConverter ImageEventArgs ImageFormat ImageKind ImageLibrary ImageMonikerConverter ImagingUtilities KnownGeometries KnownImageIds KnownImageIds 字段 缩写 AboutBox A...
In this example Content seems to be a property of type string, but that's not the whole story. The Content property is declared to be of type object, strongly suggesting that the button content doesn't necessarily have to be a simple text string. It could, for example, be an Image ele...
I run the script and i get the error that tf name is not defined. I have that moduled imported as import tensorflow as tf but it seems that doesn't reconigze it. Does someone know what's the problem? Thanks! Below my code:
GrayscaleFunctionClass GrayscaleFunctionArgumentsClass HeightMeasurementClass HillshadeFunctionClass HillshadeFunctionArgumentsClass HistogramSpecificationClass HREBuilderClass IdentityFunctionClass IdentityXformClass IkonosBuilderClass IkonosFileCrawlerClass ImageFeaturePointClass ImageFeaturePointsClass ImageMatchPointClass ...
当你遇到 NameError: name 'sobel' is not defined 的错误时,这通常意味着在你的代码中引用了一个名为 sobel 的变量、函数或模块,但是在当前的代码作用域中并没有找到这个名称的定义。根据提供的提示,我们可以按照以下步骤来解决问题: 确认'sobel'是否应该被定义: 首先,你需要确认 sobel 是否应该是一个在你的...
("Automatically chosen gradient smoothing radius: %d" % gradient_smoothing_radius) # convert the image to grayscale to compute the gradient gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) #print("Computing color palette...") palette = ColorPalette.from_image(img, 20) #print("Extending color ...