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Commit f8e16db8 authored by Andrew Selle's avatar Andrew Selle Committed by Benoit Steiner
Browse files

Fix bug in inception instructions (#322)

* Fix bug in inception README.md

Fixes #59

* Document that number of classes and example count is hardcoded

Fixes #190
parent fb41088f
...@@ -94,7 +94,7 @@ DATA_DIR=$HOME/imagenet-data ...@@ -94,7 +94,7 @@ DATA_DIR=$HOME/imagenet-data
bazel build inception/download_and_preprocess_imagenet bazel build inception/download_and_preprocess_imagenet
# run it # run it
bazel-bin/inception/download_and_preprocess_imagenet "${DATA_DIR}$" bazel-bin/inception/download_and_preprocess_imagenet "${DATA_DIR}"
``` ```
The final line of the output script should read: The final line of the output script should read:
...@@ -477,7 +477,9 @@ and `validation-?????-of-00001`, respectively. ...@@ -477,7 +477,9 @@ and `validation-?????-of-00001`, respectively.
you will need to invoke [`build_image_data.py`](inception/data/build_image_data.py) on you will need to invoke [`build_image_data.py`](inception/data/build_image_data.py) on
your custom data set. Please see the associated options and assumptions behind your custom data set. Please see the associated options and assumptions behind
this script by reading the comments section of [`build_image_data.py`] this script by reading the comments section of [`build_image_data.py`]
(inception/data/build_image_data.py). (inception/data/build_image_data.py). Also, if your custom data has a different
number of examples or classes, you need to change the appropriate values in
[`imagenet_data.py`](imagenet_data.py).
The second piece you will need is a trained Inception v3 image model. You have The second piece you will need is a trained Inception v3 image model. You have
the option of either training one yourself (See [How to Train from Scratch] the option of either training one yourself (See [How to Train from Scratch]
......
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