End to End Object Detection

Price

USD 25

Course Features

Lifetime Dashboard Access
Certificate
End to End Project
Self paced classes

Course Overview

Creating end to end web applications for object detectors using multiple frameworks like Tensorflow, Detectron2 and Yolo in this practical oriented course. You will be a wizard of building State of the art object detection applications.

What you'll learn

Python Basics
Flask Development
Pycharm Basics
Debug Applications
Tensorflow1.x Object Detection
Tensorflow2.x Object Detection
Detectro2 Object Detection/Segmentation
Yolo Object Detection
Working with Images
Working with Videos

Requirements

Computer with Internet Connectivity
Basic Python Knowledge
8GB RAM preferred
Intel Core i5 preferred
Windows/Linux/MAC Preferred

Course Curriculum

Introduction to Course

Introduction to Course
Who is this Course for?
Course Overview
Course Outcome
Installing Anaconda, Pycharm & Postman
Working with Conda Envs
Pycharm Introduction
Pycharm with Conda
Pycharm with venv
Pycharm with Pipenv

Covering Python Basics

Introduction
Building a Calculator
Working with Command Line Arguments
Building the Flask Application
Testing our App in POSTMAN
Learn to Debug with Pycharm
Adding an UI to our Web App

Understand Object detection theoritically

Introduction
What is Object Detection?
What are Bounding Boxes?
Metrics used in Object Detection
Applications of Object Detection

Object Detection using Tensorflow 1.x

Introduction
Introduction to TFOD1.x
Using Google Colab with Google Drive
Installation of Libraries in Colab
TFOD1.x Setup in Colab
Visiting the Model Zoo
Inferencing in Colab
Inferencing in Local
Important Configuration Files
Webcam Testing

Training a Custom Mask Detector using Tensorflow1.x

Introduction
Our Custom Dataset
Doing Annotations or labeling data
Preparing the Dataset for Training
Selection of Pretrained Model from Model Zoo
Files Setup for Training
Let's start Training
Resume or Stop Training
Converting CKPT to Frozen Inference Graph
Inferencing with our trained model

Creating an End To End Mask Detector Web Application with TFOD1

Introduction
Creating a Pycharm project & Environment Setup
Debugging our Application
Testing our App with PoSTmaN
Adding an UI to our Web APP

Object Detection using Tensorflow 2.x

Introduction
Introduction to TFOD2.x
Installation of Libraries in Colab
Visting TFOD2.x Model Garden
Inference using Pretrained Model
Important Configuration Files
Inferencing in Local with a pretrained model

Training a Custom Chess Piece Detector using Tensorflow2

Introduction
Our Custom Dataset
Doing Annotations or labeling data
Preparing the Dataset for Training
Selection of Pretrained Model from Model Zoo
File Setup for Training
Let's start Training
Stop Training or resume Training
Convert CKPT to Saved Model
Inferencing using the Custom Trained Model in Colab
Inferencing using the Custom Trained Model in Local PC

Creating an End To End Chess Piece Detector Web Application with TFOD2

Introduction
Creating a Pycharm project & Environment Setup
Building a Flask Application
Debugging our Application
Testing our App with PoSTmaN
Adding an UI to our Web APP

Object Detection using Detectron2

Introduction
Introduction to Detectron2
Installing libraries in Google Colab
Visiting the Model Zoo
Inferencing using Pre Trained Model

Training a Custom Detector using Detectron2

Introduction
Our Custom Dataset
Doing Annotations or labeling data
Registering Dataset for Training
Selection of Pretrained Model from Model Zoo
Let's start Training
Stop Training or resume Training
Inferencing using the Custom Trained Model in Colab
Evaluating the Model

Creating an End To End Custom Detector Web Application with Detectron2

Introduction
Creating a Pycharm project & Environment Setup
Building a Flask Application
Debugging our Application
Testing our App with PoSTmaN
Adding an UI to our Web APP

Object Detection using YoloV5

Introduction
Introduction to YoloV5
Inferencing using Pre Trained Model

Training a Custom Warehouse Apparel Detector using YoloV5

Introduction
Our Custom Dataset
Doing Annotations or labeling data
Preparing the Dataset for Training
Let's start Training
Inferencing using the Custom Trained Model in Colab

Creating an End To End Warehouse Apparel Detector Web Application with YOLOV5

Introduction
Creating a Pycharm project & Environment Setup
Building a Flask Application
Debugging our Application
Testing our App with PoSTmaN
Adding an UI to our Web APP

Course Projects

Mask detector

Chess Piece detector

Mixed Classes detector

Warehouse Apparel detector

0.00 out of 5.0

1 Star 0.0%

2 Star 0.0%

3 Star 0.0%

4 Star 0.0%

5 Star 0.0%

Sourangshu Paul

Having 3+ years of experience in Computer Vision and Analytics with product architecture design and delivery. Skilled in classical visual computing techniques and building state of the art solution using deep learning and helping them to make a career transition.

Reviews

No reviews found

Submit Reviews

You can not rate this course before login