I am trying to run gym-gazebo on Google Colaboratory.
There is a problem to run gazebo server (gazebo without gui) on Colab.
There was warning on display: Unable to create X window. Rendering will be disabled but I think I fix it.
There also warning about sound card. not sure it related Unable to open audio device,
And there warning about conversion Conversion of sensor type[depth] not supported
Here is an example
Can you help?
In order to run gazebo in a headless mode you need to run gserver executable, instead of gazebo. Not sure which one is used by the gym-gazebo toolkit.
In order to still do rendering in gazebo server (e.g. camera view) you would need to use Xvfb (X Virtual Frame Buffer). It is an X server that can run on machines with no display hardware and no physical input devices. It emulates a dumb framebuffer using virtual memory.
For your specific colab notebook I have changed last cell by adding
get_ipython().system_raw('Xvfb :1 -screen 0 1600x1200x16 &')
in order to create virtual display and added DISPLAY=:1.0 to the beginning of the last line, so it looked as follows
DISPLAY=:1.0 python gym-gazebo/examples/turtlebot/circuit2c_turtlebot_camera_dqn.py
DISPLAY=:1.0 tells X Window client used by gazebo to use virtual display we have created instead of default one :0.
A complete installation of Gazebo on colab and running it in headless server mode with rendering capability can be achieved the following way:
!curl -sSL http://get.gazebosim.org | sh # Install gazebo
!apt-get install -y xvfb # Install X Virtual Frame Buffer
get_ipython().system_raw('Xvfb :1 -screen 0 1600x1200x16 &') # create virtual display with size 1600x1200 and 16 bit color. Color can be changed to 24 or 8
!source /usr/share/gazebo-9/setup.sh && DISPLAY=:1.0 gzserver --verbose # Run gazebo and tell X client to use our virtual DISPLAY :1.0
There is also a way to run full gazebo in simulator with gzweb as a head and link to it using ngrok.io explained here as a fully working notebook. https://colab.research.google.com/drive/1A-miW8cTRKzs7B0m1m4enfiFySzBhsgN
You would need to authenticate to ngrok using your auth token which can be created at ngrok.com in order to connect, because it is lunch as background and doesn't print to cell
!./ngrok authtoken <token>
I am currently working on a project which aims to find out what the system is doing behind a series of user interaction on the android UI. For example, if user click send button in Facebook Messenger, the measured response time for such action is 1.2 seconds. My goal is to figure out what the 1.2 seconds consist of. My friend suggested that I should take a look into 'Systrace'.
However, when I tried systrace on my HTC one M8, I have encountered some problems:
First, error opening /sys/kernel/debug/tracing/options/overwrite - no such file or directory. I solved this problem by building up the support of the kernel following http://opensourceforu.com/2010/11/kernel-tracing-with-ftrace-part-1/ and mount -t debugfs none /sys/kernel/debug. Then I could find the tracing directory. Besides, I set ro.debuggable=1 in file default.prop within Ramdisk and burn the boot.img into my phone.
Now I encounter another problem: when I run - python systrace.py --time=10 -o mynewtrace.html sched gfx view wm, the following error(19) pop up: error truncating /sys/kernel/debug/tracing/set_ftrace_filter: No such device (19). I don't know if the way my building up kernel support for systrace is incorrect or anything is missing.
Could anyone helps me out with this problem, please?
I think I have worked out the solution. My environment is Ubuntu 16.04 + HTC one M8. I will write the steps as followed:
open terminal and enter: $adb shell
(1) $su (2) $mount -t debugfs none /sys/kernel/debug. Now you should be able to see many directories under /sys/kernel/debug/. (You may cd into /sys/kernel/debug to confirm this)
New a new terminal and enter: dd if=/dev/block/platform/msm_sdcc.1/by-name/boot of=/sdcard/boot.img to generate the boot.img kernel image from your device.
Use AndroidImageKitchen to unpack the boot.img and find the default.prop within Ramdisk folder. Then change ro.debuggable=0 to ro.debuggable=1. Repack the boot.img and flash boot it to your device.
Once the device boot, under terminal, enter: adb root and message like: restarting adbd as root may pop up. Disconnect the USB and connect again.
cd to the systrace folder, e.g. ~/androidSDK/platform-tools/systrace and use:
python systrace.py --time=10 -o mynewtrace.html sched gfx view wm
Now you may able to generate your own systrace files.
make wthis this manual
http://wireless.kernel.org/en/users/Documentation/hostapd
with this config file
interface=wlan2
bridge=br0
driver=nl80211
ssid=SupaAP
country_code=RU
hw_mode=g
channel=5
preamble=1
macaddr_acl=0
auth_algs=1
logger_syslog=-1
logger_syslog_level=3
logger_stdout=-1
logger_stdout_level=2
ignore_broadcast_ssid=0
ieee80211n=1
ht_capab=[SHORT-GI-20][RX-STBC1]
wmm_enabled=1
and i have error
oot#Cubian:/home/cubie/wif/hostapd-2.1/hostapd# ./hostapd /etc/hostapd/hostapd.conf
Configuration file: /etc/hostapd/hostapd.conf
Line 16: unknown configuration item 'ieee80211n'
Line 17: unknown configuration item 'ht_capab'
2 errors found in configuration file '/etc/hostapd/hostapd.conf'
Failed to set up interface with /etc/hostapd/hostapd.conf
Failed to initialize interfac
in old version i dont have thsi error
It appears that the problem is that hostapd 2.1 is now treating an error it had differently.
This is reproducible on Ubuntu desktop versions, as the resource (WLAN) is busy.
If one turns off the programs that are accessing the resource, hostapd has a chance to grab it and work.
In Ubuntu desktop 14.04 beta, a solution is to turn off the programs that are using the wlan in question.
This worked for me:
sudo nmcli nm wifi off
sudo rfkill unblock wlan
then hostapd can start normally from command line. Of course, if you want hostapd to start on boot you must insure that the network manager is not grabbing the resource ahead of time.
SOLVED
in compile conf i uncomment string
CONFIG_IEEE80211N=y
I have found this link explaining the cause of the error and how to solve it.
https://bugs.archlinux.org/task/20269
Also I have found this other link http://blog.mirjamali.com/en/IT/Linux/hostapd which I followed and it is working with me check the configuration part.
My OS is ubuntu 12.4
start your hostapd with
hostapd -dd /etc/hostapd/hostapd.conf
you will get more information for diagnostics. In which old version you did not get the error? Did you update hostapd? Or changed your wifi adapter? which distri you are using?
http://hostap.epitest.fi/cgit/hostap/plain/hostapd/hostapd.conf
there is written how the ieee80211n settings are. for me i cant see an error.
if you remove the both lines, the ap is starting correctly?
I've built a simple test app with clutter: A stage with two ClutterText actors to display two words. It works OK when I run it from within gnome but running it from the tty (not gnome-terminal or xterm) with xinit my_app_binary I get an error:
failed to create drawable
Unable to initialize Clutter: Unable to select the newly created GLX context
Window manager error: Unable to initialize Clutter
If I run xinit gnome-terminal from the same tty everything works, gnome-terminal shows up in a black screen. That's the same I want to do with my app.
Is there anything I can do to overcome this error?
All the above are tested in Linux Mint 12. After normal boot I switch to a tty (ALT-F1) and stop lightdm (sudo /etc/init.d/lightdm stop).
Thanks!
EDIT: running as root everything works, so the question is: how to run it as a regular user?
Be sure to set the DISPLAY-var - add it in front of your command
DISPLAY=:0.0 /path/to/myapp
Sometimes this is an access-rights problem - the app should be started with the user who started the X-server
su user-started-x -c 'DISPLAY=:0.0 /path/to/myapp'
I am facing problem while conecting R with internet in my office. May be this due to LAN settings. I tried the almost all possible ways I come across in the web (see below) but still in vain.
Method1: Invoking R using --internet2
Method2: Invoking R by setting ~/Rgui.exe http_proxy=http:/999.99.99.99:8080/ http_proxy_user=ask
Method3: Setting Setinternet2=TRUE
Method4:
curl <- getCurlHandle()
curlSetOpt(.opts = list(proxy = '999.99.99.99:8080'), curl = curl)
Res <- getURL('http://www.cricinfo.com', curl = curl)
In above all methods I can able to load packages directly from CRAN also able to download files using download.file command
But using getURL(RCurl), readHTMLTable(XML), htmlTreeParse(XML) commands I am unable to extract web data. I am getting ~<HEAD>\n<TITLE>Access Denied</TITLE>\n</HEAD>~ error.
How to set LAN proxy settings for XML package in R?
On Mac OS, I found the best solution here. Quoting the author, two simple steps are:
1) Open Terminal and do the following:
export http_proxy=http://staff-proxy.ul.ie:8080
export HTTP_PROXY=http://staff-proxy.ul.ie:8080
2) Run R and do the following:
Sys.setenv(http_proxy="http://staff-proxy.ul.ie:8080")
double-check this with:
Sys.getenv("http_proxy")
I am behind university proxy, and this solution worked perfectly. The major issue is to export the items in Terminal before running R, both in upper- and lower-case.
For RStudio just you have to do this:
Firstly, open RStudio like always, select from the top menu:
Tools-Global Options-Packages
Uncheck the option: Use Internet Explorer library/proxy for HTTP
And then close the Rstudio, furthermore you have to:
Find the file (.Renviron) in your computer, most probably you would find it here: C:\Users\your user name\Documents. Note that if it does not exist you can creat it just by writing this command in RStudio:
file.edit('~/.Renviron')
Add these two lines to the initials of the file:
options(internet.info = 0)
http_proxy="http://user_id:password#your_proxy:your_port"
And that's it..??!!!
The problem is with your curl options – the RCurl package doesn't seem to use internet2.dll.
You need to specify the port separately, and will probably need to give your user login details as network credentials, e.g.,
opts <- list(
proxy = "999.999.999.999",
proxyusername = "mydomain\\myusername",
proxypassword = "mypassword",
proxyport = 8080
)
getURL("http://stackoverflow.com", .opts = opts)
Remember to escape any backslashes in your password. You may also need to wrap the URL in a call to curlEscape.
I had the same problem at my office and I solved it adding the proxy in the destination of the R shortcut; clik on right button of the R icon, preferences, and in the destination field add
"C:\Program Files\R\your_R_version\bin\Rgui.exe" http_proxy=http://user_id:passwod#your_proxy:your_port/
Be sure to put the directory where you have the R program installed. That works for me. Hope this help.
This post pertains to R proxy issues on *nix. You should know that R has many libraries/methods to fetch data over internet.
For 'curl', 'libcurl', 'wget' etc, just do the following:
Open a terminal. Type the following command:
sudo gedit /etc/R/Renviron.site
Enter the following lines:
http_proxy='http://username:password#abc.com:port/'
https_proxy='https://username:password#xyz.com:port/'
Replace username, password, abc.com, xyz.com and port with these settings specific to your network.
Quit R and launch again.
This should solve your problem with 'libcurl' and 'curl' method. However, I have not tried it with 'httr'. One way to do that with 'httr' only for that session is as follows:
library(httr)
set_config(use_proxy(url="abc.com",port=8080, username="username", password="password"))
You need to substitute settings specific to your n/w in relevant fields.
Inspired by all the responses related on the internet, finally I've found the solution to correctly configure the Proxy for R and Rstudio.
There are several steps to follow, perhaps some of the steps are useless, but the combination works!
Add environment variables http_proxy and https_proxy with proxy details.
variable name: http_proxy
variable value: https://user_id:password#your_proxy:your_port/
variable name: https_proxy
variable value: https:// user_id:password#your_proxy:your_port
If you start R from a desktop icon, you can add the --internet flag to the target line (right click -> Properties)
e.g."C:\Program Files\R\R-2.8.1\bin\Rgui.exe" --internet2
For RStudio just you have to do this:
Firstly, open RStudio like always, select from the top menu:
Tools-Global Options-Packages
Uncheck the option: Use Internet Explorer library/proxy for HTTP
Find the file (.Renviron) in your computer, most probably you would find it here: C:\Users\your user name\Documents.
Note that: if it does not exist you can create it just by writing this command in R:
file.edit('~/.Renviron')
Then add these six lines to the initials of the file:
options(internet.info = 0)
http_proxy = https:// user_id:password#your_proxy:your_port
http_proxy_user = user_id:password
https_proxy = https:// user_id:password0#your_proxy:your_port
https_proxy_user = user_id:password
ftp_proxy = user_id:password#your_proxy:your_port
Restart R. Type the following commands in R to assure that the configuration above works well:
Sys.getenv("http_proxy")
Sys.getenv("http_proxy_user")
Sys.getenv("https_proxy")
Sys.getenv("https_proxy_user")
Sys.getenv("ftp_proxy")
Now you can install the packages as you want by using the command like:
install.packages("mlr",method="libcurl")
It's important to add method="libcurl", otherwise it won't work.
On Windows 7 I solved this by going into my environment settings (try this link for how) and adding user variables http_proxy and https_proxy with my proxy details.
If you start R from a desktop icon, you can add the --internet flag to the target line (right click -> Properties) e.g.
"C:\Program Files\R\R-2.8.1\bin\Rgui.exe" --internet2
Simplest way to get everything working in RStudio under Windows 10:
Open up Internet Explorer, select Internet Options:
Open editor for Environment variables:
Add a variable HTTP_PROXY in form:
HTTP_PROXY=http://username:password#localhost:port/
Example:
HTTP_PROXY=http://John:JohnPassword#localhost:8080/
RStudio should work:
Tried all of these and also the solutions using netsh, winhttp etc.
Geek On Acid's answer helped me download packages from the server but none of these solutions worked for using the package I wanted to run (twitteR package).
The best solution is to use a software that let's you configure system-wide proxy.
FreeCap (free) and Proxifier (trial) worked perfectly for me at my company.
Please note that you need to remove proxy settings from your browser and any other apps that you have configured to use proxy as these tools provide system-wide proxy for all network traffic from your computer.
Find your R home with R.home("home")
Add following lines to Renviron.site in your R home
http_proxy=http://proxy.dom.com/
http_proxy_user=user:passwd
https_proxy=https://proxy.dom.com/
https_proxy_user=user:passwd
Open R -> R reads Renviron.site in its home -> it should work :)
My solution on a Windows 7 (32bit). R version 3.0.2
Sys.setenv(http_proxy="http://proxy.*_add_your_proxy_here_*:8080")
setInternt2
updateR(2)