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README.md

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## Overview
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[Isaac ROS DNN Inference](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_dnn_inference) contains ROS 2 packages for performing DNN
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Isaac ROS DNN Inference contains ROS 2 packages for performing DNN
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inference, providing AI-based perception for robotics applications. DNN
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inference uses a pre-trained DNN model to ingest an input Tensor and
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output a prediction to an output Tensor.
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## Performance
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| Sample Graph<br/><br/> | Input Size<br/><br/> | AGX Orin<br/><br/> | Orin NX<br/><br/> | Orin Nano 8GB<br/><br/> | x86_64 w/ RTX 4090<br/><br/> |
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| Sample Graph<br/><br/> | Input Size<br/><br/> | AGX Orin<br/><br/> | Orin NX<br/><br/> | Orin Nano Super 8GB<br/><br/> | x86_64 w/ RTX 4090<br/><br/> |
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|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| [TensorRT Node](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_tensor_rt_benchmark/scripts/isaac_ros_tensor_rt_dope_node.py)<br/><br/><br/>DOPE<br/><br/> | VGA<br/><br/><br/><br/> | [47.9 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_dope_node-agx_orin.json)<br/><br/><br/>24 ms @ 30Hz<br/><br/> | [18.1 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_dope_node-orin_nx.json)<br/><br/><br/>56 ms @ 30Hz<br/><br/> | [13.1 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_dope_node-orin_nano.json)<br/><br/><br/>81 ms @ 30Hz<br/><br/> | [298 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_dope_node-x86-4090.json)<br/><br/><br/>4.6 ms @ 30Hz<br/><br/> |
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| [Triton Node](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_triton_benchmark/scripts/isaac_ros_triton_dope_node.py)<br/><br/><br/>DOPE<br/><br/> | VGA<br/><br/><br/><br/> | [47.2 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_dope_node-agx_orin.json)<br/><br/><br/>24 ms @ 30Hz<br/><br/> | [20.3 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_dope_node-orin_nx.json)<br/><br/><br/>530 ms @ 30Hz<br/><br/> | [14.5 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_dope_node-orin_nano.json)<br/><br/><br/>780 ms @ 30Hz<br/><br/> | [276 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_dope_node-x86-4090.json)<br/><br/><br/>4.6 ms @ 30Hz<br/><br/> |
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| [TensorRT Node](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_tensor_rt_benchmark/scripts/isaac_ros_tensor_rt_ps_node.py)<br/><br/><br/>PeopleSemSegNet<br/><br/> | 544p<br/><br/><br/><br/> | [460 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_ps_node-agx_orin.json)<br/><br/><br/>4.1 ms @ 30Hz<br/><br/> | [348 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_ps_node-orin_nx.json)<br/><br/><br/>6.1 ms @ 30Hz<br/><br/> | [238 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_ps_node-orin_nano.json)<br/><br/><br/>7.0 ms @ 30Hz<br/><br/> | [685 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_ps_node-nuc_4060ti.json)<br/><br/><br/>2.9 ms @ 30Hz<br/><br/> |
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| [Triton Node](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_triton_benchmark/scripts/isaac_ros_triton_ps_node.py)<br/><br/><br/>PeopleSemSegNet<br/><br/> | 544p<br/><br/><br/><br/> | [304 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_ps_node-agx_orin.json)<br/><br/><br/>4.8 ms @ 30Hz<br/><br/> | [206 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_ps_node-orin_nx.json)<br/><br/><br/>6.5 ms @ 30Hz<br/><br/> | –<br/><br/><br/><br/> | [677 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_ps_node-nuc_4060ti.json)<br/><br/><br/>2.2 ms @ 30Hz<br/><br/> |
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| [DNN Image Encoder Node](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_dnn_image_encoder_benchmark/scripts/isaac_ros_dnn_image_encoder_node.py)<br/><br/><br/><br/> | VGA<br/><br/><br/><br/> | [420 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_dnn_image_encoder_node-agx_orin.json)<br/><br/><br/>12 ms @ 30Hz<br/><br/> | [382 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_dnn_image_encoder_node-orin_nx.json)<br/><br/><br/>11 ms @ 30Hz<br/><br/> | –<br/><br/><br/><br/> | [574 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_dnn_image_encoder_node-x86-4090.json)<br/><br/><br/>5.2 ms @ 30Hz<br/><br/> |
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| [TensorRT Node](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_tensor_rt_benchmark/scripts/isaac_ros_tensor_rt_dope_node.py)<br/><br/><br/>DOPE<br/><br/> | VGA<br/><br/><br/><br/> | [30.8 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_dope_node-agx_orin.json)<br/><br/><br/>37 ms @ 30Hz<br/><br/> | [15.5 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_dope_node-orin_nx.json)<br/><br/><br/>55 ms @ 30Hz<br/><br/> | [20.8 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_dope_node-orin_nano.json)<br/><br/><br/>51 ms @ 30Hz<br/><br/> | [298 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_dope_node-x86-4090.json)<br/><br/><br/>5.3 ms @ 30Hz<br/><br/> |
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| [Triton Node](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_triton_benchmark/scripts/isaac_ros_triton_dope_node.py)<br/><br/><br/>DOPE<br/><br/> | VGA<br/><br/><br/><br/> | [31.2 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_dope_node-agx_orin.json)<br/><br/><br/>340 ms @ 30Hz<br/><br/> | [15.5 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_dope_node-orin_nx.json)<br/><br/><br/>55 ms @ 30Hz<br/><br/> | [22.2 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_dope_node-orin_nano.json)<br/><br/><br/>490 ms @ 30Hz<br/><br/> | [277 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_dope_node-x86-4090.json)<br/><br/><br/>4.7 ms @ 30Hz<br/><br/> |
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| [TensorRT Node](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_tensor_rt_benchmark/scripts/isaac_ros_tensor_rt_ps_node.py)<br/><br/><br/>PeopleSemSegNet<br/><br/> | 544p<br/><br/><br/><br/> | [489 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_ps_node-agx_orin.json)<br/><br/><br/>4.6 ms @ 30Hz<br/><br/> | [258 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_ps_node-orin_nx.json)<br/><br/><br/>7.1 ms @ 30Hz<br/><br/> | [269 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_ps_node-orin_nano.json)<br/><br/><br/>6.2 ms @ 30Hz<br/><br/> | [619 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_tensor_rt_ps_node-x86-4090.json)<br/><br/><br/>2.2 ms @ 30Hz<br/><br/> |
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| [Triton Node](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_triton_benchmark/scripts/isaac_ros_triton_ps_node.py)<br/><br/><br/>PeopleSemSegNet<br/><br/> | 544p<br/><br/><br/><br/> | [216 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_ps_node-agx_orin.json)<br/><br/><br/>5.5 ms @ 30Hz<br/><br/> | [143 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_ps_node-orin_nx.json)<br/><br/><br/>8.2 ms @ 30Hz<br/><br/> | –<br/><br/><br/><br/> | [585 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_triton_ps_node-x86-4090.json)<br/><br/><br/>2.5 ms @ 30Hz<br/><br/> |
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| [DNN Image Encoder Node](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_dnn_image_encoder_benchmark/scripts/isaac_ros_dnn_image_encoder_node.py)<br/><br/><br/><br/> | VGA<br/><br/><br/><br/> | [339 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_dnn_image_encoder_node-agx_orin.json)<br/><br/><br/>13 ms @ 30Hz<br/><br/> | [375 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_dnn_image_encoder_node-orin_nx.json)<br/><br/><br/>12 ms @ 30Hz<br/><br/> | –<br/><br/><br/><br/> | [480 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_dnn_image_encoder_node-x86-4090.json)<br/><br/><br/>6.0 ms @ 30Hz<br/><br/> |
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isaac_ros_dnn_image_encoder/package.xml

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<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
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<package format="3">
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<name>isaac_ros_dnn_image_encoder</name>
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<version>3.2.0</version>
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<version>3.2.4</version>
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<description>Encoder for preprocessing images into tensors for deep learning inference</description>
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<maintainer email="[email protected]">Isaac ROS Maintainers</maintainer>
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<license>Apache-2.0</license>

isaac_ros_gxf_extensions/gxf_isaac_tensor_rt/package.xml

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<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
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<package format="3">
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<name>gxf_isaac_tensor_rt</name>
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<version>3.2.0</version>
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<version>3.2.4</version>
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<description>TensorRT GXF extension.</description>
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<maintainer email="[email protected]">Isaac ROS Maintainers</maintainer>

isaac_ros_gxf_extensions/gxf_isaac_triton/package.xml

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<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
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<name>gxf_isaac_triton</name>
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<version>3.2.4</version>
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<maintainer email="[email protected]">Isaac ROS Maintainers</maintainer>

isaac_ros_tensor_proc/package.xml

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<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
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<name>isaac_ros_tensor_proc</name>
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<version>3.2.0</version>
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<version>3.2.4</version>
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<description>Processing operations for tensors</description>
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<license>Apache-2.0</license>

isaac_ros_tensor_rt/package.xml

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<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
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<name>isaac_ros_tensor_rt</name>
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<version>3.2.4</version>
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<description>DNN Inference support for Isaac ROS</description>
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isaac_ros_triton/package.xml

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<version>3.2.4</version>
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<description>DNN Inference support for Isaac ROS</description>
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<maintainer email="[email protected]">Isaac ROS Maintainers</maintainer>

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