Configure Celery to run as Daemon service

I am writing this post after consolidating my today’s deep search on How to configure celery to run as a Daemon?. I found many articles on the internet which are not enough and clear. After going through all the steps finally, I planned to write a blog which will have complete step-by-step procedure to make celery worker run as a Daemon.

Asynchronous Task Scheduling with Celery

Celery is one of  the best open source Task Manager and Scheduler which runs tasks in background. It is good to automate some process which need to be ran after some event to be taken place. Celery uses Message broker to send message between the Tasks and Worker. The workers can even be ran on different servers.

Face Detection using Tensorflow – II

In my previous blog, I showed how we can use OpenCV and numpy to detect faces with Haar Cascade library which made us the CPU usage of 280%. Today I am gonna explain to use TensorFlow’s object detection example to detect faces. Before actually heading to the implementation, we need to know basic TF commands to deal with the actual process involved.

Face Detection using Tensorflow

Tensorflow is a machine learning library, we have got its stable release two months back. Google is officially using for their internal Production purposes. They got better results, so no matter about the lag on it, all their products including Google Vision, Images, YouTube, and almost every product that we see.

How to Install labelImg in Ubuntu 16.04 and Mac

In Computer Vision Problems Image Annotation is much important to detect and mark faces in images. labelImg is an excellent tool which makes the face annotation boxes to XML files easily. Here is how you can Install and Configure on your Ubuntu 16.04 machine. There are two Separate procedures to be followed for Python2 and Python3. We at WandResearch – Machine Learning for Small Business use this tool when there is a need for training. Have a look at our website https://wandresearch.in

Convolutional Neural Networks for image recognition

The image recognition is basically done with the Convolutional Neural Networks(CNN’s), now it can be done through TensorFlow in an efficient way. TensorFlow is the machine learning Framework preferred by most of the researchers as it finds space in handling more efficient and complex tasks easily.  

TechTalk on TensorFlow

Google Compute Engine

Out of its Products such as Youtube, Google Search, Drive and more, Google now offers the Cloud to the users/ industries whoever need for it. They also make the invoice to their users based on the usage summary. For Startups/Small scale industries where the usage may be higher at sometimes and lower in the meantime. So the user cannot pay for the services as a whole instead only for the usage.

Back Propagation in TensorFlow

While executing any commands, TensorFlow actually builds computational graph in memory without actually returning any Values. When the Session initializes, it logically processes this graph and produces data. When we update the strength of connections based on the training data that we saw and the error that we calculated is the Process of Back Propagation.

The art of Deep Learning and Neural Networks

Neural Networks along with deep learning provide a solution to image recognition, speech recognition, and natural language processing problems. The Introduction video on TensorFlow and Deep Learning gave an overview of how a neural network and deep learning help on a Classification Problem to Classify hand-written images and how it was actually done with TensorFlow got cleared. Again after viewing the following video to understand well.