I would like to make predictions on my own dataset of images (resolution: 1656X1034) using the model used as Primary Detector in Deepstream (the resnet10.caffemodel_b1_gpu0_int8.engine,resnet10.caffemodel,resnet10.prototxt). Is it possible to do so? Thank you!
I am loading the caffe model with OpenCV (code below) to run inference of a image. I am resizing the image to 640,368 as mentioned in prototxt file. Once run the inference, the output is an array of dimensions 1X4X23X40. Is this the coverage map? Where can I find the bboxes? Thank u!
import numpy as np
labels = [“Car”,“Bicycle”,“Person”,“Roadsign”]