I am using Jetson Nano with Jetpack 4.3. How to get bounding box coordinates as output for facenet-120 model? I used both “bboxes” and “coverage”.
For “bboxes”, I got a multidimensional array with 3136 elements
For “coverage”, I got a multidimensional array with 784 elements
and both are not close to what I have expected.
I modified caffe_resnet50.py which is provided as part of tensorrt python examples to use facenet-120 model.
Is it possible to generate 128 point embedding with facenet-120 or facenet-120 is only for detecting faces?
If possible what output layer should I tap for embedding output??