... | @@ -22,7 +22,7 @@ you can learn a bit more about our sensors and find our publications here at [3D |
... | @@ -22,7 +22,7 @@ you can learn a bit more about our sensors and find our publications here at [3D |
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## Pre-installed Software
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## Pre-installed Software
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The eRTIS device internally uses an NVIDIA Jetson embedded GPU compute system to fulfil all computing needs for both the sonar recordings or other applications. By default, we have prepared the Jetson default with some software packages to facilitate many possible applications and setups. Here is a short list of the most important packages:
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The eRTIS device internally uses an NVIDIA Jetson embedded GPU compute system to fulfil all computing needs for both the sonar recordings or other applications. By default, we have prepared the Jetson default with some software packages to facilitate many possible applications and setups. Here is a short list of the most important packages:
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- Python 3.6 (with modules [RTIS Dev](https://cosysgit.uantwerpen.be/rtis-software/rtisdev/-/wikis/home), [RTIS Dev](https://cosysgit.uantwerpen.be/rtis-software/rtisserial/-/wikis/home), NumPy, SciPy, TensorFlow 2, Matplotlib, pandas,...)
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- Python 3.6 (with modules [RTIS Dev](https://cosysgit.uantwerpen.be/rtis-software/rtisdev/-/wikis/home), [RTIS Serial](https://cosysgit.uantwerpen.be/rtis-software/rtisserial/-/wikis/home), NumPy, SciPy, TensorFlow 2, Matplotlib, pandas,...)
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- [RTIS Network Client](https://cosysgit.uantwerpen.be/rtis-software/rtisnetwork/-/wikis/home)
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- [RTIS Network Client](https://cosysgit.uantwerpen.be/rtis-software/rtisnetwork/-/wikis/home)
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- NVIDIA CUDA Toolkit
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- NVIDIA CUDA Toolkit
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- NVIDIA cuDNN
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- NVIDIA cuDNN
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