Inference TF2 Tutorial "PATH_TO_BE_CONFIGURED" and model name mismatch error.

Prerequisites

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1. The entire URL of the documentation with the issue

https://github.com/tensorflow/models/blob/master/research/object_detection/colab_tutorials/inference_tf2_colab.ipynb

2. Describe the issue

For this Colab tutorial I tried to run all the cells but it gives an error at the line configs = config_util.get_configs_from_pipeline_file(pipeline_config)

However I figured out the problem:

In tutorial name of the model is called as
centernet_hg104_512x512_kpts_coco17_tpu-32
but in models/research/object-detection/configs/tf2 folder, where pipeline_config = os.path.join('models/research/object_detection/configs/tf2/', model_name + '.config') statement in the tutorial addresses, the name of the file corresponding that network is ... _hourglass104 _ ... rather than ... _hg104 _....

Then I changed the model_name variable then it worked.

However, I now encountered a new problem that I couldn't fix:

The configuration files in the models/research/object-detection/configs/tf2 directory contains flags called PATH_TO_BE_CONFIGURED ( Check this out.)

Thus, at the label_map = label_map_util.load_labelmap(label_map_path) statement from the tutorial,
NotFoundError: PATH_TO_BE_CONFIGURED/label_map.txt; No such file or directory error arises.

There are also some spaces filled with ????. I couldn't figure them out either. (Check this out.)

Should the API or system environment fill that automatically or I would be the one filling it ? If so, how ?

I couldn't find any file describing that flag (PATH_TO_BE_CONFIGURED) or a issue containing.

Best regards.