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Is your feature request related to a problem? Please describe.
It is often useful to identify an object in the foreground (a person, hand, flower, etc.) create a mask of that object, then subtract that object's mask from another mask of an object behind it. The photography scenarios are pretty common just for faces; a wine glass in front of a person's face, a sniper looking down the barrel of a gun, a helmet with half visor down. In these kind of cases it is very useful to use different models in the foreground and background objects, but often sequential sep masks just mix too much and one step screws up the next.
Describe the solution you'd like
I can imagine this working in two different ways. The first would be with one type of detection; person seg for example. The first detection would be subtracted from the second, or vis versa. There could be multiple options here, but basically the idea would be to identify a mask that would be the negative and subtract that from one or all of the other masks.
The second way would be more complex technically, but more useful. The user would be able to select more than one type of detection in one adetailer tab and choose which one is the negative. This way one could subtract the foreground glass mask from the background face mask to get an appropriate portion of the face to be modified.
Describe alternatives you've considered
Sep masks work in some cases, inverting masks work in some cases. Too often one mask will over or under detect, destroying the object I was intending to target in the next step.
Additional context
I work in video post production and design, this kind of feature is common in adobe suite, figma, etc.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
It is often useful to identify an object in the foreground (a person, hand, flower, etc.) create a mask of that object, then subtract that object's mask from another mask of an object behind it. The photography scenarios are pretty common just for faces; a wine glass in front of a person's face, a sniper looking down the barrel of a gun, a helmet with half visor down. In these kind of cases it is very useful to use different models in the foreground and background objects, but often sequential sep masks just mix too much and one step screws up the next.
Describe the solution you'd like
I can imagine this working in two different ways. The first would be with one type of detection; person seg for example. The first detection would be subtracted from the second, or vis versa. There could be multiple options here, but basically the idea would be to identify a mask that would be the negative and subtract that from one or all of the other masks.
The second way would be more complex technically, but more useful. The user would be able to select more than one type of detection in one adetailer tab and choose which one is the negative. This way one could subtract the foreground glass mask from the background face mask to get an appropriate portion of the face to be modified.
Describe alternatives you've considered
Sep masks work in some cases, inverting masks work in some cases. Too often one mask will over or under detect, destroying the object I was intending to target in the next step.
Additional context
I work in video post production and design, this kind of feature is common in adobe suite, figma, etc.
The text was updated successfully, but these errors were encountered: