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Doc consistency fixes

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Sven-Hendrik Haase 2024-02-08 14:06:44 +01:00
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docs/docs/configuration/object_detectors.md
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@ -35,7 +35,7 @@ detectors:
When using CPU detectors, you can add one CPU detector per camera. Adding more detectors than the number of cameras should not improve performance.
## Edge-TPU Detector
## Edge TPU Detector
The Edge TPU detector type runs a TensorFlow Lite model utilizing the Google Coral delegate for hardware acceleration. To configure an Edge TPU detector, set the `"type"` attribute to `"edgetpu"`.
@ -45,7 +45,7 @@ A TensorFlow Lite model is provided in the container at `/edgetpu_model.tflite`
:::tip
See [common Edge-TPU troubleshooting steps](/troubleshooting/edgetpu) if the EdgeTPu is not detected.
See [common Edge TPU troubleshooting steps](/troubleshooting/edgetpu) if the Edge TPU is not detected.
:::
@ -182,7 +182,7 @@ volumes:
## NVidia TensorRT Detector
NVidia GPUs may be used for object detection using the TensorRT libraries. Due to the size of the additional libraries, this detector is only provided in images with the `-tensorrt` tag suffix, e.g. `ghcr.io/blakeblackshear/frigate:stable-tensorrt`. This detector is designed to work with Yolo models for object detection.
Nvidia GPUs may be used for object detection using the TensorRT libraries. Due to the size of the additional libraries, this detector is only provided in images with the `-tensorrt` tag suffix, e.g. `ghcr.io/blakeblackshear/frigate:stable-tensorrt`. This detector is designed to work with Yolo models for object detection.
### Minimum Hardware Support