No bouding boxes create when running my trained model

System information

• What is the top-level directory of the model you are using: tensorflow/models
• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): object_detection.ipynb
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 10
• TensorFlow installed from (source or binary): pip install tensorflow
• TensorFlow version (use command below): tensorflow 1.14
• Bazel version (if compiling from source): N/A
• CUDA/cuDNN version: N/A
• GPU model and memory: N/A
• Exact command to reproduce: object_detection.ipynb

Describe the problem

I have tried to train my model using ssd_mobilenet_v1_coco_11_06_2017 ,ssd_mobilenet_v1_coco_2018_01_28 and faster_rcnn_inception_v2_coco_2018_01_28 and did it successfully however when i tried to run object_detection_tutorial.ipynb and test my test_images all i get is images without bounding boxes, i trained my model using model_main.py and also tried train.py and i acquired a loss of < 1 in both. i am using tensorflow = 1.14 and i tried it on tensorflow = 2.0. im stuck in this final step. i am positive i create my tfrecords correctly. and also when i run the models(ssd_mobilenet_v1_coco_11_06_2017 ,ssd_mobilenet_v1_coco_2018_01_28 and faster_rcnn_inception_v2_coco_2018_01_28) that i trained them on they worked perfectly, so i suspect that there is something wrong with my model