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Updated readme.

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Daniel
2025-03-31 12:07:55 +02:00
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README.md
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@ -48,10 +48,6 @@ A general overview can be found in the paper [RapidPoseTriangulation: Multi-view
./run_container.sh ./run_container.sh
``` ```
- Download _ONNX_ models from [model registry](https://gitlab.com/Percipiote/RapidPoseTriangulation/-/ml/models) and save them to `mmdeploy/extras/exports/`.
Upon the first usage, they will be converted to _TensorRT_ models, which will take a few minutes. \
(Note that this conversion is not deterministic and will each time result in slightly different models and therefore also slightly different benchmark results.)
- Build triangulator: - Build triangulator:
```bash ```bash
@ -79,6 +75,10 @@ A general overview can be found in the paper [RapidPoseTriangulation: Multi-view
&& cd .. && cd ..
``` ```
- Download _ONNX_ models from [model registry](https://gitlab.com/Percipiote/RapidPoseTriangulation/-/ml/models) and save them to `mmdeploy/extras/exports/`.
Upon the first usage, they will be converted to _TensorRT_ models, which will take a few minutes. \
(Note that this conversion is not deterministic and will each time result in slightly different models and therefore also slightly different benchmark results.)
- Test with samples: - Test with samples:
```bash ```bash
@ -100,7 +100,7 @@ A general overview can be found in the paper [RapidPoseTriangulation: Multi-view
- For usage in combination with ROS2 see [ros](extras/ros/README.md) directory. - For usage in combination with ROS2 see [ros](extras/ros/README.md) directory.
- Running on a Nvidia Jetson is also possible with [jetson](extras/jetson/README.md) directory. - Running on a Nvidia Jetson is also possible following [jetson](extras/jetson/README.md) directory.
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