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Update TensorRT driver requirement documentation (>=530) (#7221)

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TensorRT release 23.03 requires a minimum of driver version 530.

https://docs.nvidia.com/deeplearning/tensorrt/container-release-notes/index.html#rel-23-03
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docs/docs/configuration/object_detectors.md
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@ -174,7 +174,7 @@ NVidia GPUs may be used for object detection using the TensorRT libraries. Due t
### Minimum Hardware Support
The TensorRT detector uses the 12.x series of CUDA libraries which have minor version compatibility. The minimum driver version on the host system must be `>=525.60.13`. Also the GPU must support a Compute Capability of `5.0` or greater. This generally correlates to a Maxwell-era GPU or newer, check the NVIDIA GPU Compute Capability table linked below.
The TensorRT detector uses the 12.x series of CUDA libraries which have minor version compatibility. The minimum driver version on the host system must be `>=530`. Also the GPU must support a Compute Capability of `5.0` or greater. This generally correlates to a Maxwell-era GPU or newer, check the NVIDIA GPU Compute Capability table linked below.
To use the TensorRT detector, make sure your host system has the [nvidia-container-runtime](https://docs.docker.com/config/containers/resource_constraints/#access-an-nvidia-gpu) installed to pass through the GPU to the container and the host system has a compatible driver installed for your GPU.