mask

来源： https://stackoverflow.com/questions/60354506/qtabwidget-set-mask-on-tabs-not-tab-content

来源： https://stackoverflow.com/questions/60354506/qtabwidget-set-mask-on-tabs-not-tab-content

来源： https://stackoverflow.com/questions/40439831/svg-mask-not-working-as-expected

来源： https://stackoverflow.com/questions/26359068/mask-and-extract-bits-in-c

问题 I would like to get an image mask from the contour (it exists only 1 contour) I have computed thanks to cv.findContours. However, while my contour variable is not empty, I do not manage to retrieve an image mask using cv.drawContours, my destination image being always empty. Here is my code: img = mosaicImage[:,:,0].astype('uint8') contours, _ = cv.findContours(img.copy(), cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE) mask = np.zeros(img.shape, np.uint8) cv.drawContours(mask, contours, -1, (0,255,0)

问题 I'm super new to opencv, so pardon my ignorance... Basically: I have an object of interest in my image. I would like to extract it. My problems arise from downscaling the original image in order to facilitate processing. I have found a contour of the object on the smaller image. What I would really like to do is use the information about that contour to extract the object from the original full size image. I can really only think of two ways to do this, but I have no idea which of these

问题 I'm following Apple's guidelines for implementing the "Sign in with Apple" button. In the documentation apple says that it is also possible to use only the logo to create a custom button of "Log in with Apple), also you can also change the shape of the image to have a circular button ... In order to be able to edit the image it also provides insert a mask but I don't understand that we have to create a mask for the button or the selected image. This is what apple wrote in the documentation At

问题 I am trying to create anti-aliased (weighted and not boolean) circular masks for making circular kernels for use in convolution. radius = 3 # no. of pixels to be 1 on either side of the center pixel # shall be decimal as well; not the real radius kernel_size = 9 kernel_radius = (kernel_size - 1) // 2 x, y = np.ogrid[-kernel_radius:kernel_radius+1, -kernel_radius:kernel_radius+1] dist = ((x**2+y**2)**0.5) mask = (dist-radius).clip(0,1) print(mask) and the output is array([[1. , 1. , 1. , 1. ,

问题 TL;DR : I'm using a Path to specify the hit area for an Image . But I don't know how to adjust the Path coordinates to match the layout that SwiftUI decides on... or if I even need to do so. Runtime My (test) app looks like this, Image borders ( not frames) colored for clarity: What I want is for taps in the opaque orange to be handled by that Image . Taps outside the opaque orange — even if within the bounds of the orange image — should "fall through" either to the green image or the gray

问题 TL;DR : I'm using a Path to specify the hit area for an Image . But I don't know how to adjust the Path coordinates to match the layout that SwiftUI decides on... or if I even need to do so. Runtime My (test) app looks like this, Image borders ( not frames) colored for clarity: What I want is for taps in the opaque orange to be handled by that Image . Taps outside the opaque orange — even if within the bounds of the orange image — should "fall through" either to the green image or the gray