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@@ -64,8 +64,8 @@ You can choose which model to train your objection detection classifier on. If y
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This tutorial will use the Faster-RCNN-Inception-V2 model. [Download the model here](http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_v2_coco_2018_01_28.tar.gz) Open the downloaded faster_rcnn_inception_v2_coco_2018_01_28.tar.gz file with a file archiver such as WinZip or 7-Zip and extract the faster_rcnn_inception_v2_coco_2018_01_28 folder to the C:\tensorflow1\models\research\object_detection folder. (Note: The model date and version will likely change in the future, but it should still work with this tutorial.)
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#### 2c. Download this tutorial's repository from GitHub, and inference graph from Dropbox
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Download the full repository located on this page (scroll to the top and click Clone or Download) and extract all the contents directly into the C:\tensorflow1\models\research\object_detection directory. This establishes a specific directory structure that will be used for the rest of the tutorial.
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#### 2c. Download this tutorial's repository from GitHub
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Download the full repository located on this page (scroll to the top and click Clone or Download) and extract all the contents directly into the C:\tensorflow1\models\research\object_detection directory. (You can overwrite the existing "README.md" file.) This establishes a specific directory structure that will be used for the rest of the tutorial.
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At this point, here is what your \object_detection folder should look like:
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