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87ed703c
编写于
2月 13, 2018
作者:
Z
Zhichao Lu
提交者:
lzc5123016
2月 13, 2018
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Add instructions for downloading pycocotools to the installation.
PiperOrigin-RevId: 185555440
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research/object_detection/g3doc/installation.md
research/object_detection/g3doc/installation.md
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research/object_detection/g3doc/installation.md
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87ed703c
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@@ -4,13 +4,14 @@
Tensorflow Object Detection API depends on the following libraries:
*
Protobuf 2.6
*
Pillow 1.0
*
lxml
*
tf Slim (which is included in the "tensorflow/models/research/" checkout)
*
Jupyter notebook
*
Matplotlib
*
Tensorflow
*
Protobuf 2.6
*
Pillow 1.0
*
lxml
*
tf Slim (which is included in the "tensorflow/models/research/" checkout)
*
Jupyter notebook
*
Matplotlib
*
Tensorflow
*
cocoapi
For detailed steps to install Tensorflow, follow the
[
Tensorflow installation
instructions
](
https://www.tensorflow.org/install/
)
. A typical user can install
...
...
@@ -40,6 +41,25 @@ sudo pip install jupyter
sudo
pip
install
matplotlib
```
## COCO API installation
Download the
<a
href=
"https://github.com/cocodataset/cocoapi"
target=
_blank
>
cocoapi
</a>
and
copy the pycocotools subfolder to the tensorflow/models/research directory if
you are interested in using COCO evaluation metrics. The default metrics are
based on those used in Pascal VOC evaluation. To use the COCO object detection
metrics add
`metrics_set: "coco_detection_metrics"`
to the
`eval_config`
message
in the config file. To use the COCO instance segmentation metrics add
`metrics_set: "coco_mask_metrics"`
to the
`eval_config`
message in the config
file.
```
bash
git clone https://github.com/cocodataset/cocoapi.git
cd
cocoapi/PythonAPI
make
cp
-r
pycocotools <path_to_tensorflow>/models/research/
```
## Protobuf Compilation
The Tensorflow Object Detection API uses Protobufs to configure model and
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