资源算法ros_chainercv

ros_chainercv

2020-04-03 | |  27 |   0 |   0

ROS-ChainerCV

This is ROS wrapper of ChainerCV using catkin_virtualenv.

This project depends on locusrobotics/catkin_virtualenv and chainer/chainercv.

Main support

  • Ubuntu 18.04 + ROS Melodic

Docker support

You can get docker images below from Docker hub repository knorth55/ros_chainercv.

Available tags are below.

  • Ubuntu 16.04 + ROS Kinetic

    • Kinetic: kinetic-latest

    • Kinetic + CUDA8.0: kinetic-cuda80-latest

    • Kinetic + CUDA9.0: kinetic-cuda90-latest

    • Kinetic + CUDA9.1: kinetic-cuda91-latest

    • Kinetic + CUDA9.2: kinetic-cuda92-latest

    • Kinetic + CUDA10.0: kinetic-cuda100-latest

  • Ubuntu 18.04 + ROS Melodic

    • Melodic: melodic-latest

    • Melodic + CUDA9.2: melodic-cuda92-latest

    • Melodic + CUDA10.0: melodic-cuda100-latest

You can get docker images as a command below.

docker pull knorth55/ros_chainercv:melodic-cuda92-latest

Build

Build with nvidia-cuda-toolkit deb package

Please build this package using the standard build procedure of ROS.

mkdir catkin_ws/src -pcd catkin_ws/src
git clone https://github.com/knorth55/ros_chainercv.gitcd ..
rosdep install --ignore-src --from-path src -y -r -i
catkin buildsource devel/setup.bash

Build with your own CUDA

mkdir catkin_ws/src -pcd catkin_ws/src
git clone https://github.com/knorth55/ros_chainercv.gitcd ros_chaienrcv
vim package.xml# remove nvidia-cuda dependencyvim requirements.txt# modify cupy-cuda91 to cupy with your CUDA versioncd ../../
rosdep install --ignore-src --from-path src -y -r -i
catkin buildsource devel/setup.bash

Run sample

Object Detection

  • FasterRCNN : roslaunch ros_chainercv sample_faster_rcnn_object_detection.launch

  • FasterRCNN FPN: roslaunch ros_chainercv sample_faster_rcnn_fpn_object_detection.launch

  • SSD: roslaunch ros_chainercv sample_ssd_object_detection.launch

  • YOLO: roslaunch ros_chainercv sample_yolo_object_detection.launch

Semantic Segmentation

  • PSPNet: roslaunch ros_chainercv sample_pspnet_semantic_segmentation.launch

  • DeepLab V3+: roslaunch ros_chainercv sample_deeplab_semantic_segmentation.launch

Instance Segmentation

  • FCIS: roslaunch ros_chainercv sample_fcis_instance_segmentation.launch

  • MaskRCNN FPN: roslaunch ros_chainercv sample_mask_rcnn_fpn_instance_segmentation.launch

Tested environment

  • Ubuntu: 18.04

  • ROS: Melodic

  • CUDA: 9.1

  • Chainer: 6.0.0

  • CuPy: 6.0.0

  • ChainerCV: 0.13


上一篇:Face detection based on ChainerCV Faster-RCNN implementation

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