In RQ based environment, anew worker will be forked every time work is assigned. RQ based worker works in an independent context every time. Actually we can work on rq without forking. We can use SimpleWorker to avoid forking. Many times we will have multiple kinds of works running in…

python-rq is one of the key components in designing system based on task scheduler architectures. This provides a playground to start the designing. Design involves lots of challenges. Merging multiple jobs is one of the challenges. Here we will see how to handle this in python-rq environment. While designing system…

Changing tensorflow versions in google colab Usually google colab comes with tensorflow version 2.x. Lets say we have to experiment with version 1.x. Below is the syntax to change the tensorflow version. %tensorflow_version 1.x Check https://colab.research.google.com/notebooks/tensorflow_version.ipynb#scrollTo=NeWVBhf1VxlH for more details

In the previous post, we discussed about using tensorflow on a dockerized container. With that, we can work on tensorflow environment. But, how will we do visualization of results? Copy the data to local computer and view it separetely? We can do that.. but, is there a better way? Yes…

This is continuation to the previous post Getting started with ML… . Here we will discuss a few more points on tuning the system for better performance. Use full GPU for ML (In this post, it is assumed that, nvidia gpu is there in the computer along with intel integrated gpu.)

Part II is here Part III is here On a new computer, how will we start machine learning development? Too many settings. Too many packages. Python 2, python3… Tensorflow with gpu support, without gpu support. Tensorflow2, tensorflow 1.14.2, tensorflow 1.15.2. Some ML training will work only on tensorflow 1.14. It…

This article discusses about golang wrapper for ffmpeg for extracting frames from video. FFmpeg is a great software package a media developer should have. The kind of configurability this provides is uncomparable in media domain. Out of vast capabilities, this article discusses how one can extract frames from video. The…

I got a new laptop. What next? Check what is there inside. 9th Generation Intel® Core™ i5 processor NVIDIA® GeForce® GTX 1650 Graphics (4 GB GDDR5 dedicated). GTX 1650 has 896 cuda cores. Now, I want to test the GPU for ML capabilities. On ubuntu 18.04, installed python3, tensorflow, tensorflow-gpu…

We have different solutions available for streaming mpeg2ts content over rtp. vlc player ffmpeg gstreamer gstreamer provides different plugins for rtp solutions. To name a few: rtpbin rtpmp2tpay rtpmp2tdepay rtph264pay rtph264depay gstreamer provides lots of configurability with rtp streaming. Here is an example in which, input ts file is streamed realtime to another gstreamer pipeline. On the receiver side the content is written to an output file.