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Update documentation to point to OpenVino component documentation #752

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Oct 22, 2019
Merged

Update documentation to point to OpenVino component documentation #752

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298166f
added in Auto Annotation documentation
benhoff Oct 22, 2019
5bc29e4
fix a typo
nmanovic Oct 22, 2019
8aba314
Remove duplicated information
nmanovic Oct 22, 2019
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23 changes: 21 additions & 2 deletions components/openvino/README.md
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Expand Up @@ -7,8 +7,8 @@
### Preparation

* Download [OpenVINO toolkit 2018R5](https://software.intel.com/en-us/openvino-toolkit) .tgz installer (offline or online) for Ubuntu platforms.
* Put downloaded file into ```components/openvino```.
* Accept EULA in the eula.cfg file.
* Put downloaded file into ```cvat/components/openvino```.
* Accept EULA in the `cvat/components/eula.cfg` file.

### Build docker image
```bash
Expand All @@ -21,3 +21,22 @@ docker-compose -f docker-compose.yml -f components/openvino/docker-compose.openv
# From project root directory
docker-compose -f docker-compose.yml -f components/openvino/docker-compose.openvino.yml up -d
```

You should be able to login and see the web interface for CVAT now, complete with the new "Model Manager" button.

### OpenVINO Models

Clone the [Open Model Zoo](https://github.com/opencv/open_model_zoo). `$ git clone https://github.com/opencv/open_model_zoo.git`

Install the appropriate libraries. Currently that command would be `$ pip install -r open_model_zoo/tools/downloader/requirements.in`

Download the models using `downloader.py` file in `open_model_zoo/tools/downloader/`.
The `--name` command can be used to specify specific models.
The `--print_all` command can print all the available models.
Specific models that are already integrated into Cvat can be found [here](https://github.com/opencv/cvat/tree/develop/utils/open_model_zoo).

From the web user interface in CVAT, upload the models using the model manager.
You'll need to include the xml and bin file from the model downloader.
You'll need to include the python and JSON files from scratch or by using the ones in the CVAT libary.
See [here](https://github.com/opencv/cvat/tree/develop/cvat/apps/auto_annotation) for instructions for creating custom
python and JSON files.
4 changes: 4 additions & 0 deletions cvat/apps/auto_annotation/README.md
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Expand Up @@ -9,6 +9,10 @@ OpenVINO™ toolkit format are supported. If you would like to annotate a
task with a custom model please convert it to the intermediate representation
(IR) format via the model optimizer tool. See [OpenVINO documentation](https://software.intel.com/en-us/articles/OpenVINO-InferEngine) for details.

### Installation

See the installation instructions for [the OpenVINO component](../../../components/openvino)

### Usage

To annotate a task with a custom model you need to prepare 4 files:
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