Build and run, as described for each sample.If you want to cross-compile the samples on a host Linux PC (x86), see Setting Up Cross-Platform Support.Step 4: Set up cross-compiler support (Optional) Create symbolic links with the following commands: $ cd /usr/lib/aarch64-linux-gnu.For installation details, see the _installer folder.Select "CUDA Toolkit", "OpenCV","cuDNN Package" and "TensorRT", and then install.Select "custom" and click "clear action".Run the installation script from the host machine with the following commands: $ chmod +x.Download Jetpack from the following website:.If you have already installed these libraries, you can skip the following steps. Step 2: Use Jetpack to install CUDA/OpenCV/cuDNN/TensorRT Export the XDisplay with the following command: $ export DISPLAY=:0.Optionally, set up cross-compiler support.NVIDIA ® TensorRT ™, previously known as GIE.However, if you modify those samples, you must rebuild them before running them.įor information on building the samples on a host Linux PC (x86), see Setting Up Cross-Platform Support.īuild and run the samples by following the procedures in this document: You can run the samples on Jetson without rebuilding them. The noticeable piece of the HTML report is among and. The HTML record itself starts with and closes with. The component characterizes a passage Compiler for htmlĪll HTML records should begin with a report type presentation. The component characterizes a huge heading The component contains the obvious page content The component indicates a title for the record The charset quality characterizes the character set utilized in the record The component contains metadata about the record
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