I have used sampleSSDUFF.cpp to run inference on ssd inception 2017 model.
It worked perfectly.
Then I retrained my model with pet dataset with 37 classes.
I got good results in tensorflow. I tetsed it.
bounding box is also correct.
I used tensorflow 1.14.0
object detection api from november 17 2017.
Everything is correct for now
But when I port it ot Uff, I get 795 nodes.
then when I use that uff insampleSSDUFF.cpp.
I get wrong detections.
I get something like :
Image name:/english_cocker_spaniel_24.jpg, Label: Abyssinian, confidence: 93% xmin: 0 ymin: 8500 xmax: 4.48887 ymax: 27.7736
Bounding box and label info is not correct.
I get results as .
But it works well with standard ssd ncpetion 2017-11-17 model for 91 classes.
What could be the problem???
Please let me know the problem.
Script I am using works perfectly for standard model but not for custom trained model.
I have 37 classes.
I gave 38 in the config script