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That has done the trick! Thanks a lot mate.

I have tried it with im = [im, im, im] as you suggested but it didn't work.

I have also tried to use mixChannels as you have suggested but I don't seem to be able to manage to make it work.

Looking at the description on the tutorial given here, I understand that this code feathers the edge of the mask outwards by 11 pixels. But I don't seem to be able to get the same effect in C++.

Any further suggestions?

I have tried this but no luck!

int FEATHER_AMOUNT = 60; cv::Size blurSize = cv::Size(FEATHER_AMOUNT, FEATHER_AMOUNT); cv::resize(outputImage, outputImage, cv::Size(outputImage.rows + FEATHER_AMOUNT * 2, outputImage.cols + FEATHER_AMOUNT * 2)); outputImage = outputImage(cv::Rect(FEATHER_AMOUNT, FEATHER_AMOUNT, outputImage.rows - FEATHER_AMOUNT * 2, outputImage.cols - FEATHER_AMOUNT * 2)); cv::GaussianBlur(outputImage, outputImage, blurSize, 0);

Hi there

I have an image (irregular shaped) in some part of a cv::Mat object (cv::Mat(750, 750, CV_8UC4))

I would like to add 15px wide feather to around the shape in the cv::Mat object with some blur effect. Please note that I don't want to add blur to the shape itself. I need it added to the outside of the shape.

If you could please help me to achieve that, that would be much appreciated.

Hope the question makes sense.

Cheers

Hi there

I'm trying to translate the below Python code that uses numpy arrays into C++ and use cv::Mat instead of numpy:

def get_face_mask(im, landmarks): im = numpy.zeros(im.shape[:2], dtype=numpy.float64)

for group in OVERLAY_POINTS:
    draw_convex_hull(im,
                     landmarks[group],
                     color=1)

im = numpy.array([im, im, im]).transpose((1, 2, 0))

im = (cv2.GaussianBlur(im, (FEATHER_AMOUNT, FEATHER_AMOUNT), 0) > 0) * 1.0
im = cv2.GaussianBlur(im, (FEATHER_AMOUNT, FEATHER_AMOUNT), 0)

return im

(Full source code can be seen here)

I'm finding it a bit difficult to understand what the below lines does:

im = numpy.array([im, im, im]).transpose((1, 2, 0))

I don't seem to be able to find the equivalent of this in OpenCV C++ version.

Any help would be much appreciated.