google-ai-edge / mediapipe

Cross-platform, customizable ML solutions for live and streaming media.
https://mediapipe.dev
Apache License 2.0
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request: add detection level in image #5460

Open kalle07 opened 2 months ago

kalle07 commented 2 months ago

MediaPipe Solution (you are using)

mediapipe_face_mesh

Programming language

No response

Are you willing to contribute it

None

Describe the feature and the current behaviour/state

add detection level in image in a1111

Will this change the current API? How?

No response

Who will benefit with this feature?

No response

Please specify the use cases for this feature

for better conrtol

Any Other info

No response

kuaashish commented 2 months ago

Hi @kalle07,

We did not fully understand this feature. Could you please provide a brief explanation so that we can better understand it and bring it to our team's attention?

Thank you!!

kalle07 commented 2 months ago

i see...

ok, the standart adetailer "face_yolov8n" shows a rectangle with the number of detection-level eg "0.71" so i can estimate which face has which level ;)

kalle07 commented 2 months ago

mediapipe_face_full dont recognize upside down faces , why ?

kuaashish commented 2 months ago

Hi @kalle07,

Could you please let us know which solution you are requesting to add this feature to? Referring to the documentation, we believe you might be using the legacy Face Mesh solution. Could you please confirm this?

Thank you!!

kalle07 commented 2 months ago

so this is a second point (besides detection-level)

its the standart in a1111 in adetailer

mediapipe_face_full

no option also face_yolov8n dont can handle upside down faces, it recognize but the image looks bad

kuaashish commented 2 months ago

Hi @kalle07,

Unfortunately, we cannot add this feature to the legacy face mesh solution you are using, as it is no longer maintained.

Thank you!!

kalle07 commented 2 months ago

its mediapipe_face_full not mesh ...

btw, you work on somewhat new that will be implemented in adetailer ?

kuaashish commented 1 month ago

Hi @kalle07,

Thank you for the clarification. I am marking this feature and sharing it with the team. Based on future demand and discussions, we may implement it in the near future.