I have created a video tutorial. You can watch that for your reference.

GitLab CE(Community Edition) is a free and opensource web-based git manager tool & it’s written in Ruby.

GitLab CE is generally used for Software development teams, it has a lot of features like version control, code review, monitoring, CI & CD, issue management, wiki, etc.

GitLab allows you to host your Git repository that can be accessed from either your local LAN / WAN / local server or (if you have an available public IP address) from outside your company. …

I have been into this programming field since my college days and I have tried a lot of editors over time. As a developer, I believe a code editor is one of the most important tool that a developer can have.

Before I was happy with Sublime Text and Atom for most of the part because it could do everything I needed in my tech stack.

I switched to VS Code for the following reasons:

1. Git integration: I actually prefer to use Terminal for anything to do with Git but the VS Code git system is really great.
2. Integrated terminals…

In this blog post, I will cover how to install Oh My Zsh and How to customize your terminal and make it fancy.

Update the packages

sudo apt-get update
sudo apt upgrade

Install prerequisite packages (ZSH, powerline & powerline fonts)

sudo apt install zsh
sudo apt-get install powerline fonts-powerline

In this article, we are going to make our own custom image classifier. We are going to use the fast.ai library to train our deep learning model. It is a high-level library build on PyTorch, which allows us to build models using only a few lines of code.

And we are going to train our model on Google Colab.

You can check the fast.ai course. It’s really great.

The steps needed are:

1. Download image dataset
2. Load and view your data
3. Create and train a model
4. Interpret the results
5. Make a small web-app out of it

Downloading Image Data

The FastAI library provides functionality…

In this article, I am going to show you how to create your own custom object detector using YoloV3.

I am assuming that you already know pretty basics of deep learning computer vision.

I am going to train my model on my own GPU.

The steps needed are:

1. Gathering data
2. Converting to YoloV3 format
3. Setting Training Pipeline
4. Training model
5. Exporting weights file.
6. Testing object detector

1.Gathering Data

We are going to get our data from OpenImagesV5. It was first introduced in 2016, It’s is a collaborative release comprising about nine million images annotated with labels covering thousands of object categories. …

In this blog post, we are going to build a custom object detector using Tensorflow Object Detection API. I will choose the detection of apple fruit. But you can choose any images you want to detect your own custom objects.

I am assuming that you already know pretty basics of deep learning computer vision.

The steps needed are:

1. Installation
2. Gathering data
3. Labeling data
4. Generating TFRecords for training
5. Configuring training
6. Training model
7. Exporting inference graph
8. Testing object detector

Installation

Make sure you have Python 3.6 or higher version of it. I have done this in my Ubuntu 18.04 machine. …