Hello,
I’m currently working with a ssd-type caffe network and trying to optimize dataflow (w/o modifying network structure) using custom layer plugins. I’m wondering - is there any possibility to get data pointer inside the layer plugin for network input image, so in detection_output plugin i could return detected objects with an images, cropped from original image (along with coordinates and confidences)?
TensorRT Version: 7.0.0.11
GPU Type: RTX 2070
CUDA Version: 10.2
CUDNN Version: 7.5.0.56
Thank you!