GNU/Linux


View Cisco Webex Recordings (or Join certain Live Sessions) on 64-bit Ubuntu 18.04 LTS

Recently, we were trying to view some Webex recordings on an updated Ubuntu 18.04LTS. After several attempts and various browsers (including the latest versions of Firefox, Google Chrome, Chromium), we could not view the recordings.

When clicking on the link, we would be redirected to install the Webex browser plugin, and then after we had installed it, we would either be redirected to a macOS installation file (Cisco_WebEx_Add-On.dmg) or to a Java servlet configuration file (CiscoWebExServlet).

We did lots of tests that are not worth mentioning, so we will go straight to the solution we followed from this page: https://gist.github.com/mshkrebtan/407786e334847544b40e7d6a8a53d247
What the solution recommended, was to install the 32-bit ESR version of Firefox, along with a 32-bit version of the Oracle JRE.

Enable support for 32-bit executables

Add the i386 architecture to the list of dpkg architectures :

sudo dpkg --add-architecture i386

Install the libraries required to execute ELF-32 executables:

sudo apt-get update
sudo apt-get install libc6:i386 libncurses5:i386 libstdc++6:i386

Install Firefox 78.7.0esr ESR (32-bit)

Beginning with Firefox 52 (released March 2017), plug-in support is limited to Adobe Flash and drops support for NPAPI, impacting plugins for Java, Silverlight, and other similar NPAPI-based plugins. Hence you need the ESR release. You can read more on that here: https://www.java.com/en/download/help/firefox_java.xml
Download Firefox ESR for Linux (32-bit) from here.
Unpack it to somewhere, for example, to /opt/webex/:

sudo mkdir -p /opt/webex/
sudo tar -xjvf firefoxesr.tar.bz2 -C /opt/webex/

Install the libraries required for Firefox (i386) to run smoothly:

sudo apt-get install libgtk-3-0:i386 libasound2:i386 libdbus-glib-1-2:i386 libxt6:i386 libxtst6:i386 libcanberra-gtk-module:i386 libcanberra-gtk-3-module:i386 topmenu-gtk3:i386

Install 32-bit Oracle JRE

Download Oracle JRE for Linux (a tar.gz archive for x86 architecture) from here. Unpack it to /opt/webex/:

sudo tar -xzvf jrelinux-i586.tar.gz -C /opt/webex/
sudo mv /opt/webex/jre /opt/webex/jre

Enable Java support in Firefox

Create symbolic links for the Java browser plugin libraries:

sudo apt-get install libpangoxft-1.0-0:i386 libxft2:i386 libpangox-1.0-0:i386 libxmu6:i386 libxv1:i386 libasound2-plugins:i386;

Create a Firefox launch script

cat << 'EOF' | sudo tee /opt/webex/firefox.sh
!/bin/bash

export ENV_HOME=/opt/webex
export FIREFOX_HOME=$ENV_HOME/firefox
export MOZ_PLUGIN_PATH=$ENV_HOME/firefox/plugins
export JAVA_HOME=$ENV_HOME/jre
export PATH=$JAVA_HOME/bin:$PATH

$FIREFOX_HOME/firefox --no-remote -P
EOF

This script will start a new instance of Firefox with the ProfileManager. Choose an existing Firefox profile or create a new one.
You might want to specify a specific profile to start with. Just add the profile name after the -P flag.
Don’t forget to make the script executable:

sudo chmod a+x /opt/webex/firefox.sh

You might want to create a symlink, like this to make it easier to start the 32-bit version of Firefox using a custom name:

sudo ln -s /opt/webex/firefox.sh /usr/local/bin/firefox-i386

Start a Webex session

Launch the 32-bit Firefox using the script and join a Webex session.
If webex.com sends you a jnlp (or a CiscoWebExServlet) file, and Firefox asks what to do with it, download it.
Further, in the Firefox Preferences > Applications, set the action for JNLP files: they should be opened with javaws (Java Web Start) which can be found here:

/opt/webex/jre/bin/javaws

(Optional) Install the missing libraries required by Webex

Find out what required libraries are be missing (note that the session number may be different):

ldd ~/.webex/T30_MC/*.so | grep "not found"

You can use https://packages.ubuntu.com/ to find out which packages contain the libraries.


Installing TensorFlow 2 Object detection on Ubuntu 18.04 LTS 1

Following are some rough notes on Installing TensorFlow 2 Object detection on Ubuntu 18.04 LTS.
We were following this guide (https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html) so we will be skipping some steps.

We had conda installed already from an older attempt so the following steps worked just fine.

conda create -n tensorflow pip python=3.8;
conda activate tensorflow;

We got an error with the following command so we used pip3 instead of pip.

pip install --ignore-installed --upgrade tensorflow==2.2.0;
Command 'pip' not found, but there are 18 similar ones.
pip3 install --ignore-installed --upgrade tensorflow==2.2.0;

Executing the above gave us another error:

Collecting tensorflow==2.2.0
Could not find a version that satisfies the requirement tensorflow==2.2.0 (from versions: 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0, 1.4.1, 1.5.0rc0, 1.5.0rc1, 1.5.0, 1.5.1, 1.6.0rc0, 1.6.0rc1, 1.6.0, 1.7.0rc0, 1.7.0rc1, 1.7.0, 1.7.1, 1.8.0rc0, 1.8.0rc1, 1.8.0, 1.9.0rc0, 1.9.0rc1, 1.9.0rc2, 1.9.0, 1.10.0rc0, 1.10.0rc1, 1.10.0, 1.10.1, 1.11.0rc0, 1.11.0rc1, 1.11.0rc2, 1.11.0, 1.12.0rc0, 1.12.0rc1, 1.12.0rc2, 1.12.0, 1.12.2, 1.12.3, 1.13.0rc0, 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 2.0.0a0, 2.0.0b0, 2.0.0b1)
No matching distribution found for tensorflow==2.2.0

To fix it we upgraded pip using the following command.

python3 -m pip install --upgrade pip;

Then we tried again, which installed most packets but gave a new error:

pip3 install --ignore-installed --upgrade tensorflow==2.2.0;
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
launchpadlib 1.10.6 requires testresources, which is not installed.
Successfully installed absl-py-0.11.0 astunparse-1.6.3 cachetools-4.2.1 certifi-2020.12.5 chardet-4.0.0 gast-0.3.3 google-auth-1.27.0 google-auth-oauthlib-0.4.2 google-pasta-0.2.0 grpcio-1.35.0 h5py-2.10.0 idna-2.10 importlib-metadata-3.4.0 keras-preprocessing-1.1.2 markdown-3.3.3 numpy-1.19.5 oauthlib-3.1.0 opt-einsum-3.3.0 protobuf-3.14.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.25.1 requests-oauthlib-1.3.0 rsa-4.7.1 scipy-1.4.1 setuptools-53.0.0 six-1.15.0 tensorboard-2.2.2 tensorboard-plugin-wit-1.8.0 tensorflow-2.2.0 tensorflow-estimator-2.2.0 termcolor-1.1.0 typing-extensions-3.7.4.3 urllib3-1.26.3 werkzeug-1.0.1 wheel-0.36.2 wrapt-1.12.1 zipp-3.4.0

To fix this error we used:

sudo apt install python3-testresources;

Then tried again the pip installation with success.

pip3 install --ignore-installed --upgrade tensorflow==2.2.0;
Successfully installed absl-py-0.11.0 astunparse-1.6.3 cachetools-4.2.1 certifi-2020.12.5 chardet-4.0.0 gast-0.3.3 google-auth-1.27.0 google-auth-oauthlib-0.4.2 google-pasta-0.2.0 grpcio-1.35.0 h5py-2.10.0 idna-2.10 importlib-metadata-3.4.0 keras-preprocessing-1.1.2 markdown-3.3.3 numpy-1.19.5 oauthlib-3.1.0 opt-einsum-3.3.0 protobuf-3.14.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.25.1 requests-oauthlib-1.3.0 rsa-4.7.1 scipy-1.4.1 setuptools-53.0.0 six-1.15.0 tensorboard-2.2.2 tensorboard-plugin-wit-1.8.0 tensorflow-2.2.0 tensorflow-estimator-2.2.0 termcolor-1.1.0 typing-extensions-3.7.4.3 urllib3-1.26.3 werkzeug-1.0.1 wheel-0.36.2 wrapt-1.12.1 zipp-3.4.0

We then executed the following to test the installation:

python3 -c "import tensorflow as tf;print(tf.reduce_sum(tf.random.normal([1000, 1000])))";

Then we proceeded to get the TensorFlow models:

mkdir ~/TensorFlow;
cd ~/TensorFlow;
git clone https://github.com/tensorflow/models;

We then downloaded protobufs and extracted them to our home directory.
To test the installation we did the following.

export PATH="/home/bob/protoc-3.14.0-linux-x86_64:$PATH";
cd /home/bob/TensorFlow/models/research;
protoc object_detection/protos/*.proto --python_out=.;

Then we proceeded to the COCO installation:

pip3 install cython;

The above will solve the problem of:

gcc: error: pycocotools/_mask.c: No such file or directory
cd ~;
git clone https://github.com/cocodataset/cocoapi.git;
cd cocoapi/PythonAPI;
make;
cp -r pycocotools ~/TensorFlow/models/research/;

Finally we proceeded to Install the Object Detection API.

cd ~/TensorFlow/models/research/;
cp object_detection/packages/tf2/setup.py .;
python3 -m pip install .;

To test the installation we executed the following:

python3 object_detection/builders/model_builder_tf2_test.py;

We then downloaded the samples and executed the camera sample with success!!

To check against a video instead of a camera, we changed the following line from:

cap = cv2.VideoCapture(0)

to

cap = cv2.VideoCapture('/home/bob/Desktop/a2/A01_20210210164306.mp4')

How to suspend Gnome Ubuntu 18.04LTS from top right menu

Recently, we were using the suspend option by searching option through the “Activities” menu. We were looking for alternatives for scenarios where we would not like to use a keyboard (e.g. on a touch-enabled screen).
After some quick testing we saw that when you long press the power button it turns into a Suspend button!!

In this video we can see that if you long press the power off button in the top right menu it will convert to the “Suspend” option!


BigBlueButton 3

BigBlueButton is a free software web conferencing system for Linux servers. Its intended use is online learning. BigBlueButton is an affiliate member of the Open Source Initiative.

Features

BigBlueButton offers certain core features including:

  • real-time sharing of audio, video, screen
  • public/private chat
  • Upload of PDF and Microsoft Office documents
  • Interactive whiteboard
  • Integration with phone systems (using FreeSWITCH)

Certain use cases are intended for teachers using the software, including:

  • Tutoring/virtual office hours
  • Flipped classroom
  • Group collaboration
  • Full online classes

BigBlueButton is a pure HTML5 client; no application is required to use it. It uses the browser’s support for web real-time communications WebRTC to send/receive audio, video, and screen.

Architecture

As a web page application, BigBlueButton front-end uses React and the backend uses MongoDB and Node.js. It also uses Redis to maintain an internal list of its meetings, attendees, and any other relevant information.

The BigBlueButton server runs on Ubuntu 16.04 64-bit and can be installed either from packages or install script. There is work underway to move to Ubuntu 18.04 in BigBlueButton 2.3.

Security

In October 2020 the German tech news portal golem.de published an article about several vulnerabilities in BigBlueButton. They criticized the unsafe use of LibreOffice, cookies without a secure flag and the use of old Ubuntu and Node.js versions. “I found a bunch of other security issues in BigBlueButton and proposed some hardening changes.” wrote Hanno Böck. “This took a lot of back and forth, but all significant issues are resolved now.”

The above material were retrieved from Wikipedia, the free encyclopedia (https://en.wikipedia.org/wiki/BigBlueButton)