Tensorflow object detection API not displaying global steps

Question

I am new here. I recently started working with object detection and decided to use the Tensorflow object detection API. But, when I start training the model, it does not display

Answer 1

As Thommy257 suggested, adding tf.logging.set_verbosity(tf.logging.INFO) after the import section of model_main.py prints the summary after every 100 steps by default.

Further, to specify the frequency of the summary, change

config = tf.estimator.RunConfig(model_dir=FLAGS.model_dir)

to

config = tf.estimator.RunConfig(model_dir=FLAGS.model_dir, log_step_count_steps=k)

where it will print after every k steps.

Answer 2

Add tf.logging.set_verbosity(tf.logging.INFO) after the import section of the model_main.py script. It will display a summary after every 100th step.

Answer 3

Regarding the recent change to model_main , the previous version is available at the folder "legacy". I use train.py and eval.py from this legacy folder with the same functionality as before.