Tensorflow Object Detection API only shows loss value. How to get mAP value?

Question

I am training my own dataset using Tensorflow Object Detection API. While training, I only get loss value like this. Is there any way to get mAP value while training or on tensorboard ?

Answer 1

in the legacy/train.py and legacy/eval.py

Example usage:
    ./train \
        --logtostderr \
        --train_dir=path/to/train_dir \
        --pipeline_config_path=pipeline_config.pbtxt

Example usage:
    ./eval \
        --logtostderr \
        --checkpoint_dir=path/to/checkpoint_dir \
        --eval_dir=path/to/eval_dir \
        --pipeline_config_path=pipeline_config_path.pbtxt \

for one terminal you use train.py to train ,

for another terminal you use eval.py to evaluate ,

make sure train_dir same as checkpoint_dir and eval_dir

and the other terminal open up tensorboard

make sure u arrange ur hardware device, otherwise u might not able open both train and eval in the same time