How to read and write of TFOD2 pipeline.config file by python?

Question

As you have already seen in Tensorflow objects detection they provide pipeline.config file with respect to a particular model. But there we need to manually open these config files & change the parameter by hard coding. My query is like how can I read this pipeline.config file by python & change the parameter in runtime. Please help me with that.

Answer 1

There's an example in the tutorial notebook.

from object_detection.utils import config_util, save_pipeline_config

pipeline_config = 'configs/tf2/ssd_resnet50_v1_fpn_640x640_coco17_tpu-8.config'

configs = config_util.get_configs_from_pipeline_file(pipeline_config)
configs['model'].ssd.num_classes = 10 # change number of classes

Then, you can save:

save_pipeline_config(configs, 'path/to/save/dir/')

See the source code.