I have made the first level changes to migrate from process execution for
every detect faces call, to one time execution of facedetect process and then
communicate over
DBus.https://gitlab.gnome.org/nma83/shotwell/commit/4c84248b80ebf3a1f1eb05aa60625d9d8c5d0134
The DBus interface XML is
at:https://gitlab.gnome.org/nma83/shotwell/blob/wip/faces/facedetect/org.gnome.ShotwellFaces1.xml
I have implemented DetectFaces and Terminate methods. The next steps are:
1. Extract the faces detected in photos and cache them (downsizing if needed) -
maybe in $HOME/.cache/shotwell2. Run face training on the labelled faces, with
a minimum number of faces per label (maybe 10)3. Attempt to automatically
recognise and label faces in photos after training
On Saturday, 23 June, 2018, 8:54:43 PM IST, Jens Georg <m...@jensge.org>
wrote:
On Fri, 2018-06-22 at 08:08 +0000, Narendra Acharya via shotwell-list wrote:
Hi,
I was looking at the current face detection code in shotwell 0.29.2 and feel
that it can be enhanced.So I pulled the code from
https://gitlab.gnome.org/GNOME/shotwell.git and started making some changes.1.
Do not run another process for face detection (shotwell-facedetect) but
integrate the OpenCV calls into shotwell and link to OpenCV libraries
This is potentially problematic as OpenCV can be compiled against Gtk2 - which
will break Shotwell then and is the reason why the detection was done in a
separate process in the first place.
2. Ability to use OpenCL when available on the platform using T-API in OpenCV
3.x3. Eventually add face recognition on photos using a trained model based on
faces labelled by the user - this would need a few faces to be tagged by the
user before the OpenCV face recognition calls can be used
(https://docs.opencv.org/2.4/modules/contrib/doc/facerec/facerec_tutorial.html).
There is also some prior work on this by the original author of facedetect:
https://github.com/Sanva/facedetect
Is there anyone else working on this area?
Thanks,Narendra
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