zhanghang1989
commented
2 years ago Standard detectron models are not deployable. The supported backbones are available at
Please also used the built-in faster rcnn / mask rcnn model configs https://github.com/facebookresearch/d2go/tree/master/configs
I am able to apply Object detection with Mask-RCNN using detectron2 and getting good results for my custom dataset. but when i try to use the same architecture with d2go to create a mobile deployable model am not able to use the same config file.
can we have a list of configurations/architectures supported in d2go with quantization aware training and deployable in android mobiles.