How to show Accuracy on tensorboard and training log using tensorflow object detection api

System information

• What is the top-level directory of the model you are using:
• Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 10
• TensorFlow installed from (source or binary): pip
• TensorFlow version (use command below): tensorflow-gpu 1.13.1
• CUDA/cuDNN version: CUDA 10.0, cuDNN 7.6.2
• GPU model and memory: NVIDIA Quadro P1000

I am using faster_rcnn_inception_v2_pets.config with model_main.py , but i have no idea to show the classifier accuracy with test data

Have anyone know how to display the accuracy about test data on training log?

another question is how to display the accuracy about test data on tensorboard like this

thanks