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Merge pull request #52 from NVIDIA-ISAAC-ROS/release-3.2
Update package versions
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README.md

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## Overview
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[Isaac ROS Object Detection](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_object_detection) contains ROS 2 packages to perform object
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Isaac ROS Object Detection contains ROS 2 packages to perform object
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detection.
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`isaac_ros_rtdetr`, `isaac_ros_detectnet`, and `isaac_ros_yolov8` each provide a method for spatial
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classification using bounding boxes with an input image. Classification
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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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| [RT-DETR Object Detection Graph](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_rtdetr_benchmark/scripts/isaac_ros_rtdetr_graph.py)<br/><br/><br/>SyntheticaDETR<br/><br/> | 720p<br/><br/><br/><br/> | [56.5 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_rtdetr_graph-agx_orin.json)<br/><br/><br/>30 ms @ 30Hz<br/><br/> | [33.8 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_rtdetr_graph-orin_nx.json)<br/><br/><br/>39 ms @ 30Hz<br/><br/> | [24.1 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_rtdetr_graph-orin_nano.json)<br/><br/><br/>53 ms @ 30Hz<br/><br/> | [490 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_rtdetr_graph-x86-4090.json)<br/><br/><br/>7.1 ms @ 30Hz<br/><br/> |
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| [DetectNet Object Detection Graph](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_detectnet_benchmark/scripts/isaac_ros_detectnet_graph.py)<br/><br/><br/><br/> | 544p<br/><br/><br/><br/> | [70.5 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_detectnet_graph-agx_orin.json)<br/><br/><br/>26 ms @ 30Hz<br/><br/> | [30.1 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_detectnet_graph-orin_nx.json)<br/><br/><br/>46 ms @ 30Hz<br/><br/> | [22.9 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_detectnet_graph-orin_nano.json)<br/><br/><br/>57 ms @ 30Hz<br/><br/> | [254 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_detectnet_graph-x86-4090.json)<br/><br/><br/>11 ms @ 30Hz<br/><br/> |
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| [RT-DETR Object Detection Graph](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_rtdetr_benchmark/scripts/isaac_ros_rtdetr_graph.py)<br/><br/><br/>SyntheticaDETR<br/><br/> | 720p<br/><br/><br/><br/> | [56.5 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_rtdetr_graph-agx_orin.json)<br/><br/><br/>29 ms @ 30Hz<br/><br/> | [33.3 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_rtdetr_graph-orin_nx.json)<br/><br/><br/>40 ms @ 30Hz<br/><br/> | [37.3 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_rtdetr_graph-orin_nano.json)<br/><br/><br/>37 ms @ 30Hz<br/><br/> | [450 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_rtdetr_graph-x86-4090.json)<br/><br/><br/>5.5 ms @ 30Hz<br/><br/> |
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| [DetectNet Object Detection Graph](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/benchmarks/isaac_ros_detectnet_benchmark/scripts/isaac_ros_detectnet_graph.py)<br/><br/><br/><br/> | 544p<br/><br/><br/><br/> | [55.4 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_detectnet_graph-agx_orin.json)<br/><br/><br/>37 ms @ 30Hz<br/><br/> | [25.7 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_detectnet_graph-orin_nx.json)<br/><br/><br/>45 ms @ 30Hz<br/><br/> | [33.0 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_detectnet_graph-orin_nano.json)<br/><br/><br/>43 ms @ 30Hz<br/><br/> | [262 fps](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_benchmark/blob/main/results/isaac_ros_detectnet_graph-x86-4090.json)<br/><br/><br/>11 ms @ 30Hz<br/><br/> |
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gxf_isaac_detectnet/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_detectnet</name>
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<version>3.2.0</version>
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<version>3.2.4</version>
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<description>Detectnet GXF extension.</description>
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<maintainer email="[email protected]">Isaac ROS Maintainers</maintainer>

isaac_ros_detectnet/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_detectnet</name>
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<version>3.2.0</version>
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<version>3.2.4</version>
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<description>DetectNet model processing</description>
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<maintainer email="[email protected]">Isaac ROS Maintainers</maintainer>

isaac_ros_peoplenet_models_install/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_peoplenet_models_install</name>
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<version>3.2.0</version>
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<version>3.2.4</version>
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<description>Scripts for installing people detection models based on PeopleNet</description>
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<maintainer email="[email protected]">Isaac ROS Maintainers</maintainer>

isaac_ros_rtdetr/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_rtdetr</name>
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<version>3.2.0</version>
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<version>3.2.4</version>
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<description>RT-DETR model processing</description>
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<maintainer email="[email protected]">Isaac ROS Maintainers</maintainer>

isaac_ros_yolov8/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_yolov8</name>
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<version>3.2.0</version>
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<version>3.2.4</version>
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<description>Isaac ROS YOLOv8 decoding</description>
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<maintainer email="[email protected]">Isaac ROS Maintainers</maintainer>

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