tensorflow lite model gives very different accuracy value compared to python model

Question

I am using tensorflow 1.10 Python 3.6

My code is based in the premade iris classification model provided by TensorFlow. This means, I am using a Tensorflow DNN premade c

Answer 1

I have met the same problem. It seems to me that the accuracy problem is mainly caused by failure to detect overlapping objects. I couldn't figure out what part of the code is wrong though.