https://bugs.kde.org/show_bug.cgi?id=220204
Chandra Kant changed:
What|Removed |Added
CC||chandra.kant.ee...@itbhu.ac
https://bugs.kde.org/show_bug.cgi?id=372340
Chandra Kant changed:
What|Removed |Added
CC||chandra.kant.ee...@itbhu.ac
https://bugs.kde.org/show_bug.cgi?id=372340
Chandra Kant changed:
What|Removed |Added
Resolution|--- |FIXED
Status|CONFIRMED
https://bugs.kde.org/show_bug.cgi?id=220204
--- Comment #11 from Chandra Kant ---
I am using digikam version 6.0.0 and when i used metadata hub it worked fine.I
think that this problem was with the previous version.
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https://bugs.kde.org/show_bug.cgi?id=220204
--- Comment #12 from Chandra Kant ---
I am trying to contribute to that issue.
On Sun, Mar 3, 2019 at 3:24 AM Maik Qualmann
wrote:
> https://bugs.kde.org/show_bug.cgi?id=220204
>
> Maik Qualmann changed:
>
>W
https://bugs.kde.org/show_bug.cgi?id=372340
--- Comment #15 from Chandra Kant ---
Yes i am trying to resolve this issue.
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--- Comment #15 from Chandra Kant ---
Yes,I agree Vlado Plaga that a notification must be shown regarding this issue
for a normal user.I think that this issue arises because of read-only file.
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https://bugs.kde.org/show_bug.cgi?id=372340
--- Comment #16 from Chandra Kant ---
I think for this issue -the more aligned faces are the better face recognition
results are.So we need to convert the image to greyscale.Then we can rotate
face to vertical position so it is aligned perfectly. we
https://bugs.kde.org/show_bug.cgi?id=372340
--- Comment #17 from Chandra Kant ---
The main idea is to compute vertical and horizontal sobel for nose part and
find the angle between them. Then to determine which angle is dominant with
help of histogram and use its peak value in finding the best
https://bugs.kde.org/show_bug.cgi?id=372340
--- Comment #18 from Chandra Kant ---
We can rotate face by this function
void rotate(cv::Mat& src, double angle, cv::Mat& dst)
{
int len = max(src.cols, src.rows);
cv::Point2f pt(len / 2., len / 2.);
cv::Mat r = cv::getRotationMatrix2D(p
https://bugs.kde.org/show_bug.cgi?id=372340
--- Comment #19 from Chandra Kant ---
After having model of faces trained and enhanced image of face we want to
recognize. Tricky part here is determining when the face is new (not in
training set) and when it is recognized properly. So we can creat
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