| name: ['NeckYaw', 'NeckPitch', 'HeadPitch', 'HeadRoll', 'LEyeYaw', 'LEyePitch', 'REyeYaw', 'REyePitch', 'TrunkYaw', 'LHipYaw', 'LHipRoll', 'LHipPitch', 'LKneePitch', 'LAnklePitch', 'LAnkleRoll', 'RHipYaw', 'RHipRoll', 'RHipPitch', 'RKneePitch', 'RAnklePitch', 'RAnkleRoll', 'LShoulderPitch', 'LShoulderYaw', 'LElbowRoll', 'LElbowYaw', 'LWristRoll', 'LWristYaw', 'LWristPitch', 'RShoulderPitch', 'RShoulderYaw', 'RElbowRoll', 'RElbowYaw', 'RWristRoll', 'RWristYaw', 'RWristPitch'] | |
| position: [0.0011198638558120363, 0.0199619836411628, 0.00800388535599487, 0.007115997927261007, 0.0, 0.0, 0.0, 0.0, -0.008644184289032597, 0.010997223159075456, 0.008898095766382428, -0.11475175707583844, 0.24763984418165202, -0.13871817692999452, 0.0010332776404101411, 0.010997019495483241, 0.008867129830932338, -0.09116471056488372, 0.19049250220840877, -0.10515787929845143, 0.001064244060971629, 1.7093324732498913, -0.0097031549001955, -1.3006052480378474, -0.18327574744861536, -0.35009075918831256, -0.0022313540171367287, 0.000250023 |
| if [ "$(hostname)" == 'Dell-PC' ]; then | |
| echo "This pc is Dell-PC" | |
| pc_dell_pc=true | |
| fi | |
| if [ "$pc_dell_pc" = true ] ; then | |
| echo 'Dell pc check' | |
| fi |
| import rospy | |
| import math | |
| import tf | |
| if __name__ == '__main__': | |
| rospy.init_node('look_up_pepper_tf') | |
| listener = tf.TransformListener() | |
| trans = [] |
| for (unsigned i = 0 ; i < jointVel.getSize() ; ++i) | |
| { | |
| float vel = jointVel[i]; | |
| AL::ALValue limits = m_motionProxy->getLimits(jointName[i]); | |
| if (vel > 0.0f) | |
| angles.arrayPush(limits[0][1]); //max | |
| else if (vel < 0.0f) | |
| angles.arrayPush(limits[0][0]); //min |
| from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img | |
| import matplotlib.pyplot as plt | |
| # Visualizations will be shown in the notebook. | |
| %matplotlib inline | |
| import random | |
| import numpy as np | |
| datagen = ImageDataGenerator( | |
| rotation_range=40, | |
| width_shift_range=0.2, |
| $ sudo service docker stop | |
| $ gksudo gedit /etc/default/docker | |
| # Use DOCKER_OPTS to modify the daemon startup options. | |
| DOCKER_OPTS="--dns 8.8.8.8 --dns 8.8.4.4 -g /home/jokla/docker/docker/" | |
| $ sudo service docker start | |
| UBUNTU 16.04 |
| $ rosbag record -O test2.bag /image_color | |
| - Create a file export_img_rosbag.launch: | |
| <launch> | |
| <node pkg="rosbag" type="play" name="rosbag" args="-d 2 $(find carla_ros)/launch/test.bag"/> | |
| <node name="extract" pkg="image_view" type="extract_images" respawn="false" output="screen" cwd="ROS_HOME"> | |
| <remap from="image" to="/image_color"/> | |
| </node> | |
| </launch> |
| /** | |
| Copyright 2017 Rafael Muñoz Salinas. All rights reserved. | |
| Redistribution and use in source and binary forms, with or without modification, are | |
| permitted provided that the following conditions are met: | |
| 1. Redistributions of source code must retain the above copyright notice, this list of | |
| conditions and the following disclaimer. | |
| 2. Redistributions in binary form must reproduce the above copyright notice, this list |
| function sysCall_init() | |
| visionSensorHandles={} | |
| for i=1,4,1 do | |
| visionSensorHandles[i]=sim.getObjectHandle('velodyneVPL_16_sensor'..i) | |
| end | |
| ptCloudHandle=sim.getObjectHandle('velodyneVPL_16_ptCloud') | |
| frequency=5 -- 5 Hz | |
| options=2+8 -- bit0 (1)=do not display points, bit1 (2)=display only current points, bit2 (4)=returned data is polar (otherwise Cartesian), bit3 (8)=displayed points are emissive | |
| pointSize=2 | |
| coloring_closeAndFarDistance={1,4} |
Server: https://github.com/RobotWebTools/rosbridge_suite Client c++ : https://github.com/ppianpak/rosbridgecpp or https://github.com/Sanic/rosbridge2cpp
For rosbridgecpp you need to install openssl: sudo apt-get install libssl-dev but you will get the following error: