Is there a way to provide a manual mask?
I'm trying to do face swap on "Dirty Dancing" and often the quality is a bit low and thereby the face recognition does not work as expected (especially when moving a lot).
I was thinking perhaps it'd make sense to "assist" the model by drawing the mask
Hi!
Is there a way to provide a manual mask?
I'm trying to do face swap on "Dirty Dancing" and often the quality is a bit low and thereby the face recognition does not work as expected (especially when moving a lot).
I was thinking perhaps it'd make sense to "assist" the model by drawing the mask
You can try my GUI including some modified scripts.
https://drive.google.com/file/d/1oxX32fuLQtyB1ZQ0eqLXhx2DsJ0DhEoL/view?usp=sharing
Hope it works for you...View my video on YouTube
Try setting lower detection thresh (0.1)
https://www.youtube.com/watch?v=ZGS__rb_u-o
@instant-high thanks!
On Linux, but I can try to move it to my Windows PC if I can't get the manual settings to change correctly :)
Really informative vid
@instant-high thanks!
On Linux, but I can try to move it to my Windows PC if I can't get the manual settings to change correctly :)
Really informative vid
In the original script
Insightface_func/facedetect_crop......py
you can change the value for testing:
def prepare(self, ctx_id, det_thresh=0.5, det_size=(640, 640)):
(My modified script takes that value as additional commandline parameter)
In the original script
Insightface_func/facedetect_crop......py
you can change the value for testing:
def prepare(self, ctx_id, det_thresh=0.5, det_size=(640, 640)):
(My modified script takes that value as additional commandline parameter)
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Hi!
Is there a way to provide a manual mask?
I'm trying to do face swap on "Dirty Dancing" and often the quality is a bit low and thereby the face recognition does not work as expected (especially when moving a lot).
I was thinking perhaps it'd make sense to "assist" the model by drawing the mask
You can try my GUI including some modified scripts.
https://drive.google.com/file/d/1oxX32fuLQtyB1ZQ0eqLXhx2DsJ0DhEoL/view?usp=sharing
Hope it works for you...View my video on YouTube
Try setting lower detection thresh (0.1)
https://www.youtube.com/watch?v=ZGS__rb_u-o
@instant-high thanks!
On Linux, but I can try to move it to my Windows PC if I can't get the manual settings to change correctly :)
Really informative vid
In the original script
Insightface_func/facedetect_crop......py
you can change the value for testing:
def prepare(self, ctx_id, det_thresh=0.5, det_size=(640, 640)):
(My modified script takes that value as additional commandline parameter)