I was facing the same challenge of setting a linux box with selenium + chromedriver, and here’s my notes: Pre-reqs: Install JRE to run the selenium jar Install the selenium server grab the jar file from https://code.google.com/p/selenium/downloads/list) Install xvfb (you’ve seem to have already achieved this part) Install google-chrome for your linux distribution Download the … Read more
I am seeing this error message when I run Firefox headless through selenium using xvfb. It turns out that the message was a red herring for me. The message is only a warning, not an error. It is not why Firefox was not starting correctly. The reason that Firefox was not starting for me was … Read more
X11 is no longer included with OS X: https://support.apple.com/en-us/HT201341 X11 server and client libraries for OS X are available from the XQuartz project: http://xquartz.macosforge.org/ I’m not sure if it includes all the other X goodies like Xvfb. In that case you could compile it yourself; with these options: –disable-xquartz –enable-xvfb –enable-xnest –enable-kdrive More info here: … Read more
You likely need to install either the xvfb package, or possibly the xvfbwrapper: First check and see if xvfb is installed: Xvfb -help If the command is not found then you can usually install the xvfb package with the following command (or whichever package manager you generally use): sudo apt-get install xvfb xvfbwrapper is Python … Read more
Use X11vnc All you need is to install x11vnc via: sudo apt-get install x11vnc xvfb fluxbox Optionally install fluxbox to have simple window manager. Run x11vnc in shell Then to setup access to Xvfb for remote control, you can use X11 over SSH or VNC over SSH, e.g. export DISPLAY=:1 Xvfb $DISPLAY -screen 0 1024x768x16 … Read more
Try this: Xvfb :21 -screen 0 1024x768x24 +extension RANDR & Xvfb –help +extension name Enable extension -extension name Disable extension
Got a simple solution working: If on a linux server, open jupyter with $ xvfb-run -s “-screen 0 1400x900x24″ jupyter notebook In Jupyter import matplotlib.pyplot as plt %matplotlib inline from IPython import display After each step def show_state(env, step=0, info=””): plt.figure(3) plt.clf() plt.imshow(env.render(mode=”rgb_array”)) plt.title(“%s | Step: %d %s” % (env._spec.id,step, info)) plt.axis(‘off’) display.clear_output(wait=True) display.display(plt.gcf()) Note: … Read more