@@ -389,10 +389,10 @@ model, our ``training_demo`` directory should now look as follows:
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training_demo/
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├─ ...
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├─ pre-trained-models/
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- | └─ ssd_resnet50_v1_fpn_640x640_coco17_tpu-8/
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- | ├─ checkpoint/
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+ │ └─ ssd_resnet50_v1_fpn_640x640_coco17_tpu-8/
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+ │ ├─ checkpoint/
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│ ├─ saved_model/
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- | └─ pipeline.config
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+ │ └─ pipeline.config
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└─ ...
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Note that the above process can be repeated for all other pre-trained models you wish to experiment
@@ -407,11 +407,11 @@ model, you can download the model and after extracting its context the demo dire
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│ ├─ efficientdet_d1_coco17_tpu-32/
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│ │ ├─ checkpoint/
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│ │ ├─ saved_model/
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- | │ └─ pipeline.config
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+ │ │ └─ pipeline.config
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│ └─ ssd_resnet50_v1_fpn_640x640_coco17_tpu-8/
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- | ├─ checkpoint/
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+ │ ├─ checkpoint/
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│ ├─ saved_model/
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- | └─ pipeline.config
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+ │ └─ pipeline.config
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└─ ...
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.. _training_pipeline_conf :
@@ -430,7 +430,7 @@ like this:
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├─ ...
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├─ models/
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│ └─ my_ssd_resnet50_v1_fpn/
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- | └─ pipeline.config
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+ │ └─ pipeline.config
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└─ ...
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Now, let's have a look at the changes that we shall need to apply to the ``pipeline.config `` file
@@ -648,9 +648,9 @@ After the above process has completed, you should find a new folder ``my_model``
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├─ ...
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├─ exported-models/
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│ └─ my_model/
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- | ├─ checkpoint/
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- | ├─ saved_model/
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- | └─ pipeline.config
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+ │ ├─ checkpoint/
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+ │ ├─ saved_model/
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+ │ └─ pipeline.config
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└─ ...
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This model can then be used to perform inference.
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