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docs/source/training.rst
@@ -637,7 +637,7 @@ will be later used to perform the object detection. This can be done as follows:
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.. code-block:: default
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- python .\exporter_main_v2.py --input_type image_tensor --pipeline_config_path .\models\my_efficientdet_d1\pipeline.config --trained_checkpoint_dir .\models\my_efficientdet_d1\ --output_directory .\exported-models\my_model
+ python .\exporter_main_v2.py --input_type image_tensor --pipeline_config_path .\models\my_ssd_resnet50_v1_fpn\pipeline.config --trained_checkpoint_dir .\models\my_ssd_resnet50_v1_fpn\ --output_directory .\exported-models\my_model
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After the above process has completed, you should find a new folder ``my_model`` under the
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``training_demo/exported-models``, that has the following structure:
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