Features after ROIAlign in Mask R-CNN

I am using the following code : https://github.com/multimodallearning/pytorch-mask-rcnn.
I would like to obtain a N x F, where N is the number of detected objects and F are the features after the ROIAlign.
Any suggestions?

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