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ModelZoo
ResNet50_tensorflow
Commits
790cbb67
"...git@developer.sourcefind.cn:OpenDAS/mmdetection3d.git" did not exist on "f6b59ae2820f1f314d0ed552f38bc40aec48ec2e"
Commit
790cbb67
authored
Jul 12, 2017
by
James Pruegsanusak
Browse files
Reword docs and revert some changes.
parent
0566f6fc
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object_detection/g3doc/preparing_inputs.md
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object_detection/g3doc/preparing_inputs.md
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790cbb67
...
@@ -7,10 +7,10 @@ TFRecords.
...
@@ -7,10 +7,10 @@ TFRecords.
## Generating the PASCAL VOC TFRecord files.
## Generating the PASCAL VOC TFRecord files.
The raw 2012 PASCAL VOC data set
can be download
ed
The raw 2012 PASCAL VOC data set
is locat
ed
[
here
](
http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar
)
,
[
here
](
http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar
)
.
or by using the command below.
To download, extract and convert it to TFRecords, run the following commands
Extract the tar file and run the
`create_pascal_tf_record`
script
:
below
:
```
bash
```
bash
# From tensorflow/models
# From tensorflow/models
...
@@ -29,12 +29,15 @@ python object_detection/create_pascal_tf_record.py \
...
@@ -29,12 +29,15 @@ python object_detection/create_pascal_tf_record.py \
You should end up with two TFRecord files named
`pascal_train.record`
and
You should end up with two TFRecord files named
`pascal_train.record`
and
`pascal_val.record`
in the
`tensorflow/models`
directory.
`pascal_val.record`
in the
`tensorflow/models`
directory.
The label map for the PASCAL VOC data set can be found at
`object_detection/data/pascal_label_map.pbtxt`
.
## Generating the Oxford-IIIT Pet TFRecord files.
## Generating the Oxford-IIIT Pet TFRecord files.
The Oxford-IIIT Pet data set
can be downloaded from
The Oxford-IIIT Pet data set
is located on
[
their website
](
http://www.robots.ox.ac.uk/~vgg/data/pets/
)
, or by using the
[
their website
](
http://www.robots.ox.ac.uk/~vgg/data/pets/
)
.
command below. Extract the tar file and run the
`create_pet_tf_record`
script
To download, extract and convert it to TFRecrods, run the following commands
to generate TFRecords.
below:
```
bash
```
bash
# From tensorflow/models
# From tensorflow/models
...
@@ -50,3 +53,6 @@ python object_detection/create_pet_tf_record.py \
...
@@ -50,3 +53,6 @@ python object_detection/create_pet_tf_record.py \
You should end up with two TFRecord files named
`pet_train.record`
and
You should end up with two TFRecord files named
`pet_train.record`
and
`pet_val.record`
in the
`tensorflow/models`
directory.
`pet_val.record`
in the
`tensorflow/models`
directory.
The label map for the Pet dataset can be found at
`object_detection/data/pet_label_map.pbtxt`
.
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