Conversion success, but detect.tflite returns weird results.

Prerequisites

Please answer the following questions for yourself before submitting an issue.

• [Y] I am reporting the issue to the correct repository. (Model Garden official or research directory)

1. The entire URL of the file you are using

https://github.com/tensorflow/models/tree/master/research/object_detection

2. Describe the bug

I fine-tuned an SSD-Mobilenet V2 model by Tensorflow-2.3, while converting the model to tflite by TF-Nightly. This works as I got a detect.tflite file of 11MB size. But when I use this model in my Android project, it outputs weird results, with extremely low confidences over all the 10 objects. As a comparison, I used Tensorflow-1.15 and TF-Nightly to generate a tflite model of SSD-Mobilenet V1, the result turned good.

3. Steps to reproduce

As the following description,

• https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_training_and_evaluation.md
• https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/running_on_mobile_tf2.md

4. Expected behavior

I expect a detailed flow on how to generate a well working tflite model of SSD-Mobilenet V2.

5. Additional context

The bad results of SSD-Mobilenet V2,

The good results of SSD-Mobilenet V1,

6. System information

• Linux Ubuntu 16.04, Android.
• Simulator: Nexus_S_API_30
• Python version: 3.7