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Update detector docs

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Nicolas Mowen 2025-01-02 08:52:47 -07:00 committed by GitHub
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docs/docs/configuration/object_detectors.md
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@ -144,7 +144,9 @@ detectors:
#### SSDLite MobileNet v2 #### SSDLite MobileNet v2
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. 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 OpenVINO model:
```yaml ```yaml
detectors: detectors:
@ -254,6 +256,7 @@ yolov4x-mish-640
yolov7-tiny-288 yolov7-tiny-288
yolov7-tiny-416 yolov7-tiny-416
yolov7-640 yolov7-640
yolov7-416
yolov7-320 yolov7-320
yolov7x-640 yolov7x-640
yolov7x-320 yolov7x-320
@ -282,6 +285,8 @@ The TensorRT detector can be selected by specifying `tensorrt` as the model type
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. 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.
Use the config below to work with generated TRT models:
```yaml ```yaml
detectors: detectors:
tensorrt: tensorrt: