I would like to replicate the SSD Mobilenet-v2 benchmark with 960x544 sized inputs.
As I understand from the source code, the currently provided sample_unpruned_mobilenet_v2.uff is for 300x300 inputs.
I see that there is a config.py that specifies this input size but I believe the README.txt that describes how to use this config.py is for ssd_inception_v2_coco_2017_11_17. From the other thread discussions though, I understand this mobilenet V2 is tranined on the http://www.robots.ox.ac.uk/~vgg/data/pets/ dataset.
So what is the correct way to replicate the SSD Mobilenet v2 with 960x544 inputs, without manually training with the oxford dataset?
Thanks in advance