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Object detection export dir #4147

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merged 2 commits into from
May 11, 2018
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Object detection export dir #4147

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0e860b1
remove unnecessary trailing comma
rrtaylor May 2, 2018
a422016
change export argument to what is actually being exported and list wh…
rrtaylor May 2, 2018
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11 changes: 8 additions & 3 deletions research/object_detection/g3doc/exporting_models.md
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Expand Up @@ -3,7 +3,7 @@
After your model has been trained, you should export it to a Tensorflow
graph proto. A checkpoint will typically consist of three files:

* model.ckpt-${CHECKPOINT_NUMBER}.data-00000-of-00001,
* model.ckpt-${CHECKPOINT_NUMBER}.data-00000-of-00001
* model.ckpt-${CHECKPOINT_NUMBER}.index
* model.ckpt-${CHECKPOINT_NUMBER}.meta

Expand All @@ -16,7 +16,12 @@ python object_detection/export_inference_graph.py \
--input_type image_tensor \
--pipeline_config_path ${PIPELINE_CONFIG_PATH} \
--trained_checkpoint_prefix ${TRAIN_PATH} \
--output_directory output_inference_graph.pb
--output_directory ${EXPORT_DIR}
```

Afterwards, you should see a graph named output_inference_graph.pb.
Afterwards, you should see the directory ${EXPORT_DIR} containing the following:

* output_inference_graph.pb, the frozen graph format of the exported model
* saved_model/, a directory containing the saved model format of the exported model
* model.ckpt.*, the model checkpoints used for exporting
* checkpoint, a file specifying to restore included checkpoint files