if(cvImg.channels()==3) //3 channels color image { cv::cvtColor(cvImg,cvImg,CV_BGR2RGB); qImg =QImage((const unsigned char*)(cvImg.data), cvImg.cols, cvImg.rows, cvImg.cols*cvImg.channels(), QImage::Format_RGB888); }
时间: 2024-02-10 19:35:11 浏览: 32
这段代码是用来将 OpenCV 中的 BGR 格式图片转换为 QImage 中的 RGB 格式图片。首先判断图片的通道数是否为3(即是否为彩色图像),如果是,则使用 cv::cvtColor 函数将 BGR 格式图片转换为 RGB 格式图片,然后将转换后的数据作为 QImage 对象的数据构造 QImage 对象。其中,QImage 的构造函数参数依次为图像数据、图像宽度、图像高度、图像每行字节数、图像格式。这段代码的最终目的是将 OpenCV 中的图像数据转换为 Qt 中的图像数据,以便在 Qt 中进行显示或处理。
相关问题
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
This code converts a color image (img) into a grayscale image (img_gray) using the OpenCV function cv2.cvtColor(). The function takes two arguments: the input image (img) and the color conversion code (cv2.COLOR_BGR2GRAY) that specifies the type of conversion to be applied. In this case, the code converts the image from the BGR color space (which is the default color space used by OpenCV) to the grayscale color space. The resulting image (img_gray) will have only one channel (i.e., a single intensity value per pixel) instead of three channels (i.e., red, green, and blue intensities per pixel) in the original image.
-215:Assertion failed) image.channels() == 1 || image.channels() == 3 ||
-215:Assertion failed) image.channels() == 1 || image.channels() == 3 ||是OpenCV报错的一部分。它表示图像的通道数不符合要求。根据报错信息,图像的通道数应该为1或3。
要解决这个问题,你可以检查一下你读取的图像的通道数是否符合要求。可以使用`cv2.imread()`函数来读取图像,并使用`cv2.cvtColor()`函数将图像转换为灰度图或彩色图。确保你的图像通道数是1或3。如果图像通道数不符合要求,你可能需要在读取图像之前进行预处理,以确保图像通道数符合要求。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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