전체 글 (26) 썸네일형 리스트형 ImportError: dynamic module does not define module export function (PyInit_cv_bridge_boost) in Xavier AGX stackoverflow.com/questions/49221565/unable-to-use-cv-bridge-with-ros-kinetic-and-python3 Unable to use cv_bridge with ROS Kinetic and Python3 I had a computer vision project on Ubuntu 14.04 with ROS indigo and python3, then I had to move on Ubuntu 16.04 with ROS kinetic. Here I ran into multiple issues: 1) I installed opencv, but couldn't stackoverflow.com # `python-catkin-tools` is needed for .. Find python, cuda code with ctags, cscope ctags & cscope install $ sudo apt-get install ctags -y $ sudo apt-get install cscope -y ctags $ ctags -R $ ctags -R --fields=+l --languages=python --python-kinds=-iv -f /.tags ./ # When Permission denied, please use 'sudo' # cscope @ your directory with 'tags' file $ find . -name '*.py' > cscope.files $ cscope -R # with cuda codes rm -rf cscope.files cscope.out tags # or $ rm -rf cscope.* ctags .. LaneNet Install in NVIDIA Jetson Xavier AGX ===================2020.10.24================================ See 2020.12.14 update Download or git clone LaneNet : $ git clone github.com/MaybeShewill-CV/lanenet-lane-detection.git github >> github.com/MaybeShewill-CV/lanenet-lane-detection MaybeShewill-CV/lanenet-lane-detection Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybesh.. Real-Time Object Detection System with Multi-Path Neural Networks Real-Time Object Detection System with Multi-Path Neural Networks Abstract 최근 DNN(Deep Neural Networks)의 발달에 힘입어 DNN 기반의 물체 감지 시스템은 매우 정확하고 자율주행차, 드론, 보안 로봇 등 실시간 환경에서 널리 이용되고 있다. 시스템은 차량 속도 등 실행 환경에 따라 달라질 수 있는 특정 시간 제한 내에 물체를 감지해야 하지만, 기존 시스템은 시간 제한 시간을 반영하지 않고 전체 long-latency DNN을 맹목적으로 실행하므로 실시간 제약을 보장할 수 없다. 이 작업은 GPU에서 DNN에 대한 새로운 WCET(worst-case execution time) 모델을 기반으로 multipath neural n.. CARLA : triple monitor with carla_ros_bridge This is modified codes for 3 monitor that can play carla_ros_bridge My execution directory is /opt/carla or /opt/carla-ros-bridge *dir = your carla install directory and this is 'test.py' #!/usr/bin/env python # Copyright (c) 2019 Aptiv # # This work is licensed under the terms of the MIT license. # For a copy, see . """ An example of client-side bounding boxes with basic car controls. Controls:.. CARLA : double monitor manual_control Modifing 'client_bounding_boxes.py' for multi window. Editing copyed file(client_bounding_boxes.py) with vim. After applying, you can see two windows - rgb camera, semantic segmentation. Code : #!/usr/bin/env python # Copyright (c) 2019 Aptiv # # This work is licensed under the terms of the MIT license. # For a copy, see . """ An example of client-side bounding boxes with basic car controls. Con.. Getting start CARLA : 2nd Way in Linux Also, I installed CARLA with another way. https://github.com/carla-simulator/carla/releases carla-simulator/carla Open-source simulator for autonomous driving research. - carla-simulator/carla github.com The way is installing 'CARLA_0.9.8.tar.gz' that released latest release ver. (2020.04.08) Just enter this link, download 'CARLA_0.x.x.tar.gz' ( but i think you have CARLA : 1st way that i told b.. CARLA You can launch the simulator without display, in low quality mode, and with fixed time-step DISPLAY= ./CarlaUE4.sh -quality-level=Low -benchmark -fps=10 이전 1 2 3 4 다음
