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demos/interactive_face_detection_demo/cpp/README.md

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Running the application with an empty list of options yields the usage message given above and an error message.
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To run the demo, you can use public or Intel pre-trained models. You can download models and if necessary convert them into Inference Engine format using the OpenVINO™ [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below. The models which are supported by the demo are listed in the [models.lst](./models.lst) file.
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To run the demo, you can use public or Intel pre-trained models. You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below. The models which are supported by the demo are listed in the [models.lst](./models.lst) file.
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An example of using the Model Downloader:
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```
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python3 downloader.py --list models.lst
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python3 <omz_dir>/tools/downloader/downloader.py --list models.lst
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```
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An example of using the Model Converter:
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```
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python3 converter.py --list models.lst
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python3 <omz_dir>/tools/downloader/converter.py --list models.lst
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```
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> **NOTE**: Before running the demo with a trained model, make sure the model is downloaded and converted to the Inference Engine format (\*.xml + \*.bin) using OpenVINO™ [Model Downloader and other automation tools](../../../tools/downloader/README.md).
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For example, to do inference on a GPU with the OpenVINO&trade; toolkit pre-trained models, run the following command:
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```sh

demos/interactive_face_detection_demo/cpp_gapi/README.md

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Running the application with an empty list of options yields the usage message given above and an error message.
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To run the demo, you can use public or Intel pre-trained models. You can download models and if necessary convert them into Inference Engine format using the OpenVINO™ [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below. The models which are supported by the demo are listed in the [models.lst](./models.lst) file.
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To run the demo, you can use public or Intel pre-trained models. You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below. The models which are supported by the demo are listed in the [models.lst](./models.lst) file.
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An example of using the Model Downloader:
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```
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python3 downloader.py --list models.lst
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python3 <omz_dir>/tools/downloader/downloader.py --list models.lst
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```
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An example of using the Model Converter:
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```
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python3 converter.py --list models.lst
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python3 <omz_dir>/tools/downloader/converter.py --list models.lst
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```
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> **NOTE**: Before running the demo with a trained model, make sure the model is converted to the Inference Engine format (\*.xml + \*.bin) using the [Model Optimizer tool](https://docs.openvinotoolkit.org/latest/_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html).
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For example, to do inference on a GPU with the OpenVINO&trade; toolkit pre-trained models, run the following command:
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```sh

models/public/Sphereface/Sphereface.md

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The net outputs on different images are comparable in cosine distance.
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## Download a Model and Convert it into OpenVINO™ Inference Engine Format
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## Download a Model and Convert it into Inference Engine Format
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You can download models and if necessary convert them into Inference Engine format using the OpenVINO™ [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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An example of using the Model Downloader:
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```
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python3 downloader.py --name <model_name>
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python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
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```
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An example of using the Model Converter:
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```
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python3 converter.py --name <model_name>
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python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
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```
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## Legal Information

models/public/aclnet-int8/aclnet-int8.md

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- `N` - batch size
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- `C` - Predicted softmax scores for each class in [0, 1] range
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## Download a Model and Convert it into OpenVINO™ Inference Engine Format
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## Download a Model and Convert it into Inference Engine Format
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You can download models and if necessary convert them into Inference Engine format using the OpenVINO™ [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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An example of using the Model Downloader:
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```
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python3 downloader.py --name <model_name>
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python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
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```
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An example of using the Model Converter:
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```
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python3 converter.py --name <model_name>
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python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
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```
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## Legal Information

models/public/aclnet/aclnet.md

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- `N` - batch size
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- `C` - Predicted softmax scores for each class in [0, 1] range
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## Download a Model and Convert it into OpenVINO™ Inference Engine Format
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## Download a Model and Convert it into Inference Engine Format
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You can download models and if necessary convert them into Inference Engine format using the OpenVINO™ [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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An example of using the Model Downloader:
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```
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python3 downloader.py --name <model_name>
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python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
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```
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An example of using the Model Converter:
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```
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python3 converter.py --name <model_name>
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python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
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```
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## Legal Information

models/public/alexnet/alexnet.md

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- `C` - Predicted probabilities for each class in [0, 1] range
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## Download a Model and Convert it into OpenVINO™ Inference Engine Format
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## Download a Model and Convert it into Inference Engine Format
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You can download models and if necessary convert them into Inference Engine format using the OpenVINO™ [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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An example of using the Model Downloader:
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```
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python3 downloader.py --name <model_name>
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python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
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An example of using the Model Converter:
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```
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python3 converter.py --name <model_name>
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python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
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## Legal Information

models/public/anti-spoof-mn3/anti-spoof-mn3.md

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- B - batch size
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## Download a Model and Convert it into OpenVINO™ Inference Engine Format
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## Download a Model and Convert it into Inference Engine Format
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You can download models and if necessary convert them into Inference Engine format using the OpenVINO™ [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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An example of using the Model Downloader:
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```
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python3 downloader.py --name <model_name>
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python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
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```
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An example of using the Model Converter:
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```
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python3 converter.py --name <model_name>
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python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
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```
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## Legal Information

models/public/brain-tumor-segmentation-0001/brain-tumor-segmentation-0001.md

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With the following channels: `background`, `necrotic core`, `edema` and `enhancing tumor`.
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## Download a Model and Convert it into OpenVINO™ Inference Engine Format
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## Download a Model and Convert it into Inference Engine Format
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You can download models and if necessary convert them into Inference Engine format using the OpenVINO™ [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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An example of using the Model Downloader:
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```
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python3 downloader.py --name <model_name>
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python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
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An example of using the Model Converter:
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```
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python3 converter.py --name <model_name>
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python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
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## Legal Information

models/public/brain-tumor-segmentation-0002/brain-tumor-segmentation-0002.md

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The channels are ordered as `whole tumor`, `tumor core`, and `enhancing tumor`.
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## Download a Model and Convert it into OpenVINOâ„¢ Inference Engine Format
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## Download a Model and Convert it into Inference Engine Format
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You can download models and if necessary convert them into Inference Engine format using the OpenVINOâ„¢ [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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An example of using the Model Downloader:
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```
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python3 downloader.py --name <model_name>
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python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
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An example of using the Model Converter:
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```
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python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
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## Legal Information

models/public/caffenet/caffenet.md

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Object classifier according to ImageNet classes, name: `prob`, shape: `1,1000`. Contains predicted
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## Download a Model and Convert it into OpenVINO™ Inference Engine Format
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## Download a Model and Convert it into Inference Engine Format
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You can download models and if necessary convert them into Inference Engine format using the OpenVINO™ [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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You can download models and if necessary convert them into Inference Engine format using the [Model Downloader and other automation tools](../../../tools/downloader/README.md) as shown in the examples below.
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An example of using the Model Downloader:
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```
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python3 <omz_dir>/tools/downloader/downloader.py --name <model_name>
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An example of using the Model Converter:
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```
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python3 <omz_dir>/tools/downloader/converter.py --name <model_name>
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```
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## Legal Information

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