ndi | fixed version for compiling with ffmpeg | Build Tool library

I have the following code in normal JS and I have like to convert it to vuejs.

HTML:

I am trying obs-studio-node.
This module require libobs as dependency. While building this module it download a pre-built version of libobs if none is specified. We can specify out custom libobs as mentioned in README.md

I followed these steps to build libobs. These steps are listed in README.md

1. git clone https://github.com/stream-labs/obs-studio
2. cd obs-studio
3. git submodule update --init --recursive
4. mkdir build
5. cd build
6. cmake .. -DENABLE_UI=false -DDepsPath="C:\Users\alokm\Downloads\dependencies2019\win64" -DENABLE_SCRIPTING=false -G"Visual Studio 16 2019" -A x64
7. cmake --build .
8. cpack -G ZIP

Last step (cpack -G ZIP) is failing with errors

Can someone help or clear things for me. I've got this SQL code that I need to run on a trigger that doesn't work. But works when manually running the code on an SQL client.

I need to label an already classified img. The problem being, the image is non binary and I need to count separately neighbouring patch of different value.

Considering the following dataset :

I am able to see my v4l2loopback video device in chrome when using this command to produce a video stream:

gst-launch-0.10 -v videotestsrc ! "video/x-raw-yuv,width=640,height=360,framerate=30/1,format=(fourcc)I420" ! v4l2sink device=/dev/video0

But I am attempting to use ffmpeg to take an NDI stream and output it to a v4l2loopback device with a command like this:

ffmpeg -f libndi_newtek -extra_ips "10.4.0.86" -i "ME-NDI002 (TEST)" -f v4l2 /dev/video0

When I am using ffmpeg as a producer I am able to see the device in Firefox and Zoom but not in Chrome. Is there something I need to do to get ffmpeg to play nice with the exclusive_caps option?

I am using v4l2loopback driver version 0.12.5

Linux kernel is: Linux dva 3.10.0-1062.1.2.el7.x86_64 #1 SMP Mon Sep 30 14:19:46 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux

And Release information is: LSB Version: :core-4.1-amd64:core-4.1-noarch:cxx-4.1-amd64:cxx-4.1-noarch:desktop-4.1-amd64:desktop-4.1-noarch:languages-4.1-amd64:languages-4.1-noarch:printing-4.1-amd64:printing-4.1-noarch Distributor ID: CentOS Description: CentOS Linux release 7.7.1908 (Core) Release: 7.7.1908 Codename: Core

I am currently using this code to take a variable, select the 2,3,4,5th digits and create a new variable

I have a large dataset and am trying to convert 'object' columns containing only numeric data to 'integer' datatype in python/pandas. With every code I have attempted, I have received the following error:

• I have done segmentation using Deep-Learning, after that, I have noticed that sometimes the segmented shapes seems to be good, and sometimes, it needs more post-processing with morphological operations.
• The segmented shape is a ring, and in rare cases is filled circle, as you can see in the attached images.
• When this ring segmentation is closed shape, there are no issues, but when the ring is open there is a problem, because I can't measure the internal area (inside the ring) correctly and the area calculation is the objective of the whole project.
• So how can I detect automatically if my segmented image needs post-processing (using morphological operations) and what kind of morphology is preferred in this case? so I can calculate the area as mentioned here.

Thanks in Advance

• I have the following image, and I do like to count the pixels inside the ring to get the area.

• I did some morphological operations as a kind of post-processing to make the image as much as possible with clear smooth edges.
• I tried to do that in different ways as you can see in the code down, but none of them was optimal.
• Can you please advice me how to count the pixels inner area of the circle? Note: some pixels inside are not totally black, they are with low intensity, that's why I was trying to do Otsu thresholding.
• Thanks in advance