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Update detector docs
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@ -144,7 +144,9 @@ detectors:
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#### SSDLite MobileNet v2
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An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model. Use the model configuration shown below when using the OpenVINO detector with the default model.
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An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model.
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Use the model configuration shown below when using the OpenVINO detector with the default OpenVINO model:
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```yaml
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detectors:
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@ -254,6 +256,7 @@ yolov4x-mish-640
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yolov7-tiny-288
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yolov7-tiny-416
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yolov7-640
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yolov7-416
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yolov7-320
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yolov7x-640
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yolov7x-320
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@ -282,6 +285,8 @@ The TensorRT detector can be selected by specifying `tensorrt` as the model type
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The TensorRT detector uses `.trt` model files that are located in `/config/model_cache/tensorrt` by default. These model path and dimensions used will depend on which model you have generated.
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Use the config below to work with generated TRT models:
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```yaml
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detectors:
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tensorrt:
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