UFF SSD accuracy on big images

AI & Data Science Deep Learning (Training & Inference) TensorRT
1

Hello. I have converted the SSD Inception v2 network using the C++ example and now I am testing the network to see how it performs. And the results are worse compared to a plain Tensorflow model.

My preprocessing steps:

  1. Cut image into slices with some overlap
  2. Normalize the colors to [-1;1]
  3. Compile a batch by concatenating all images into one huge vector

I have also tried adding some blur since the images I am testing on are a bit compressed and the borders are too angled (has a stairwell), but that did not help much.

I am mainly interested in person identification. And the converted network does a bad job at detecting small people. Any idea why?

2

Small update. Actually, it works bad on all images. Even with a lot of people on the image it only finds one or none of them at all. People take up most of the frame. What the reason might be?

3

Hello,

Is it possible for you to isolate a minimal repro for where TRT is producing seriously different results from TF?