I am looking for a deep learning library/sdk which can be used to remove the background from any image automatically (with quality as good as www.remove.bg).
I tried some image segmentation SDKs with pre-trained models such as Tensorflow Lite & Fritz AI, but the accuracy of the cutout mask was very low, amongst other issues.
Criteria :-
1) Background Removal rather than just Human/Portrait Segmentation
If the foreground consists of person holding a balloon, sittting on a chair, with a pet on his side, then I want all of this to get extracted. Not just the human cutout. The segmentation SDKs I tried are only extracting humans (the chair gets vanished), that too with a very low quality mask (hair gets cut, parts of ear gets cut, etc).
2) Mask quality should be Super-Accurate
I want even the finer details like the hair, delicate clothes, etc to be extracted perfectly.
3) Fast & Lightweight (for mobile phone)
I want to use this technology on mobile phones (in an Android app) which should ideally work even in an offline environment. If this option is difficult to achieve, then plan B would be install the technoloy on our server.
4) Technology
What technology should I be exploring to achieve this? Is it called image segmentation or the better term would be image matting? (e.g. http://alphamatting.com/eval_25.php)
I have been reading a lot and I am currently lost in the sea of various technologies out there (OpenCV, Deep Matting, Mask RCNN, Instance Segmentation, Detectron2, Tensorflow, Pytorch, etc). I wonder what magic is happening behind the curtains of www.remove.bg
Would thislibrary help me me to achieve what I am looking for? Any help you could provide would be awesome.
I am looking for a deep learning library/sdk which can be used to remove the background from any image automatically (with quality as good as www.remove.bg).
I tried some image segmentation SDKs with pre-trained models such as Tensorflow Lite & Fritz AI, but the accuracy of the cutout mask was very low, amongst other issues.
Criteria :-
1) Background Removal rather than just Human/Portrait Segmentation
If the foreground consists of person holding a balloon, sittting on a chair, with a pet on his side, then I want all of this to get extracted. Not just the human cutout. The segmentation SDKs I tried are only extracting humans (the chair gets vanished), that too with a very low quality mask (hair gets cut, parts of ear gets cut, etc).
2) Mask quality should be Super-Accurate
I want even the finer details like the hair, delicate clothes, etc to be extracted perfectly.
3) Fast & Lightweight (for mobile phone)
I want to use this technology on mobile phones (in an Android app) which should ideally work even in an offline environment. If this option is difficult to achieve, then plan B would be install the technoloy on our server.
4) Technology What technology should I be exploring to achieve this? Is it called image segmentation or the better term would be image matting? (e.g. http://alphamatting.com/eval_25.php)
I have been reading a lot and I am currently lost in the sea of various technologies out there (OpenCV, Deep Matting, Mask RCNN, Instance Segmentation, Detectron2, Tensorflow, Pytorch, etc). I wonder what magic is happening behind the curtains of www.remove.bg
Would thislibrary help me me to achieve what I am looking for? Any help you could provide would be awesome.
Thanks a ton!