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bitsoko services
models
Commits
d6bee2c7
Commit
d6bee2c7
authored
Apr 06, 2017
by
Neal Wu
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Clarifications for the inception README
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68e47ad3
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inception/README.md
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d6bee2c7
...
...
@@ -435,12 +435,12 @@ JPEG-encoded string and an integer label. Please see [`parse_example_proto`](inc
The script just takes a few minutes to run depending your network connection
speed for downloading and processing the images. Your hard disk requires 200MB
of free storage. Here we select
`DATA_DIR=
$HOME/flowers-data
`
as such a location
of free storage. Here we select
`DATA_DIR=
/tmp/flowers-data/
`
as such a location
but feel free to edit accordingly.
```
shell
# location of where to place the flowers data
FLOWERS_DATA_DIR
=
$HOME
/flowers-data
FLOWERS_DATA_DIR
=
/tmp/flowers-data/
# build the preprocessing script.
bazel build inception/download_and_preprocess_flowers
...
...
@@ -473,9 +473,9 @@ model like so:
```
shell
# location of where to place the Inception v3 model
DATA
_DIR
=
$HOME
/inception-v3-model
mkdir
-p
${
DATA
_DIR
}
cd
${
DATA
_DIR
}
INCEPTION_MODEL
_DIR
=
$HOME
/inception-v3-model
mkdir
-p
${
INCEPTION_MODEL
_DIR
}
cd
${
INCEPTION_MODEL
_DIR
}
# download the Inception v3 model
curl
-O
http://download.tensorflow.org/models/image/imagenet/inception-v3-2016-03-01.tar.gz
...
...
@@ -526,7 +526,7 @@ the flowers data set with the following command.
bazel build inception/flowers_train
# Path to the downloaded Inception-v3 model.
MODEL_PATH
=
"
${
INCEPTION_MODEL_DIR
}
/model.ckpt-157585"
MODEL_PATH
=
"
${
INCEPTION_MODEL_DIR
}
/
inception-v3/
model.ckpt-157585"
# Directory where the flowers data resides.
FLOWERS_DATA_DIR
=
/tmp/flowers-data/
...
...
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