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with dilated convolutions

So the models are

faster_rcnn_inception_resnet_v2_atrous_coco mask_rcnn_resnet101_atrous_coco mask_rcnn_resnet50_atrous_coco

and other models with atrous prefix.

The second question is that is any other way to read the model is not from tensorflow-object detection api now? like this custom MaskRCNN(https://github.com/matterpor...

Only Mask R-CNN from TensorFlow Object Detection API is supported for now (according https://github.com/opencv/opencv/wiki/TensorFlow-Object-Detection-API). But we're welcome for contribution if you can find a way to properly import this model (perhaps using the same text graphs representation approach).

with dilated convolutions

So the models are

faster_rcnn_inception_resnet_v2_atrous_coco mask_rcnn_resnet101_atrous_coco faster_rcnn_inception_resnet_v2_atrous_coco
mask_rcnn_resnet101_atrous_coco
mask_rcnn_resnet50_atrous_coco

and other models with atrous prefix.

The second question is that is any other way to read the model is not from tensorflow-object detection api now? like this custom MaskRCNN(https://github.com/matterpor...

Only Mask R-CNN from TensorFlow Object Detection API is supported for now (according https://github.com/opencv/opencv/wiki/TensorFlow-Object-Detection-API). But we're welcome for contribution if you can find a way to properly import this model (perhaps using the same text graphs representation approach).