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@@ -94,7 +94,7 @@ DATA_DIR=$HOME/imagenet-data
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bazel build inception/download_and_preprocess_imagenet
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# run it
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-bazel-bin/inception/download_and_preprocess_imagenet "${DATA_DIR}$"
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+bazel-bin/inception/download_and_preprocess_imagenet "${DATA_DIR}"
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```
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The final line of the output script should read:
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@@ -477,7 +477,9 @@ and `validation-?????-of-00001`, respectively.
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you will need to invoke [`build_image_data.py`](inception/data/build_image_data.py) on
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your custom data set. Please see the associated options and assumptions behind
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this script by reading the comments section of [`build_image_data.py`]
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-(inception/data/build_image_data.py).
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+(inception/data/build_image_data.py). Also, if your custom data has a different
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+number of examples or classes, you need to change the appropriate values in
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+[`imagenet_data.py`](imagenet_data.py).
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The second piece you will need is a trained Inception v3 image model. You have
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the option of either training one yourself (See [How to Train from Scratch]
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