How to extract features from the predicted bounding boxes in the pretrained Faster Rcnn in pytorch?
Which features would you like to extract?
Generally you can use forward hooks as explained here to get intermediate activations (features).
How to extract features from the predicted bounding boxes in the pretrained Faster Rcnn in pytorch?
Which features would you like to extract?
Generally you can use forward hooks as explained here to get intermediate activations (features).