I am getting access violation problem as shown. The only modification I've done is: Instead of using command line arguments to provide CSV and Cascade classifier paths, I have given them directly in the code.Įxception thrown at 0x00007FFDD0C0E09B (opencv_core310.dll) in facerecognization.exe: 0xC0000005: Access violation reading location 0xFFFFFFFFFFFFFFFF. Plt.subplot(224), plt.plot(hist1), plt.plot(hist2),plt.Below code used to recognize face which i got from the below link Masked_img = cv2.bitwise_and(img,img,mask = mask) In this example, it will be very clear for you to draw a histogram of a multi-channel image with and without the mask. Here is the complete code to draw a histogram of the image with a mask. The mask consists of a black image with the same dimensions as the loaded image and some white regions corresponding to the image where we want to calculate the histogram. In this article, we have used a multi-channel image.Įxample of colorimage histogram with maskįirst, you should know 'what is the mask?'. We can use this function to calculate the histogram of both single channel images and multi-channel images. Python OpenCV provides the cv2.calcHist() function to calculate the histogram of one or more arrays.

It means the x-axis represents the different color values, which lie between 0 and 255, and the y-axis represents the number of times a particular intensity value occurs in the image. It is a plot with pixel values (ranging from 0 to 255, not always) in the X-axis and a corresponding number of pixels in the image on the Y-axis. The histogram plot shows the intensity distribution of an image. A histogram of an image represents how frequently various color values occur in the image or the distribution of pixel intensities of a colour or gray-scale image. In this post, you will learn how to compute the histogram of a colour image using OpenCV and the cv2.calcHist function.Ī histogram is a graphical representation of data.

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