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November 22, 2022

Read and process audio files using Pydub in Python

Read audio files and get audio metadata and also perform different audio operations like cropping, playback speed and other operations easily in python.

November 22, 2022

Create Interactive Pie Charts using Plotly

Create Interactive Pie and Donut charts using Plotly with plotly express and plotly figure. Also add different data and chart viewing options.

November 17, 2022

Speech Recognition using OpenAI Whisper model

Automatic Speech Recognition using OpenAI's whisper model in python and create transcription from audio files locally and from websites like YouTube using python

October 06, 2022

Image Segmentation using pretrained Segformer models

Semantic Segmentation using pretrained transformer segformer models usign Pytorch in python and using models with different parameters and input shapes.

July 22, 2022

Working with images in Python Docx

Add images to python docx and create multiple views using python-docx features to create Grid, table images and image alignment.

April 22, 2022

Draw on Images using Mouse in OpenCV Python

Use Opencv mouse events to draw different shapes like circle, rectangle, polylines and polygon on images using mouse and keyboard.

April 19, 2022

Excel to Docx Table using Python Docx

Read csv and xlsx files using pandas and create tables in word documents using python docx with different styles and document configurations.

April 16, 2022

Working with tables in Python-Docx

Create tables in docx using python docx and use different features like cell styling, nested tables and other paragraph features for tables and also add images to table objects.

April 04, 2022

Optical Character Recognition using EasyOCR in Python

Perform Optical character recognition for 80+ languages using easy ocr easily in python and using different libraries.

March 30, 2022

Working with Lists in Python Docx

Create Bullet and Numbered lists in documents using python docx and implement nested lists and styles options easily to lists in documents.

March 29, 2022

Create and Modify Word Docx files using Python Docx

Work with python docx to crate word documents using python with different styles and options and implement headings, paragraphs and other document operations.

February 16, 2022

Deploy Deep Learning Models using Flask, Docker and Github on Google Cloud

Create deep learning models application using flask as web service and deploy to google cloud run using docker and continuous deployment using Github.

February 01, 2022

Hand Landmarks detection using Mediapipe in Python

Hand Landmark detection using mediapipe to get 21 landmarks for each hand, hand handedness and bbox coordinates with lower latency and high accuracy and process on images and videos.

September 29, 2021

Train Object Detection Models using YoloV5

Use Yolov5 architecture to train model with pytorch backend for different dataset and convert dataset from one format to other for training of yolov5 object detection models.

September 18, 2021

Optical Character Recognition (OCR) using Tesseract in python

Tesseract is a open-source OCR engine owened by Google for performing OCR operations on different kind of images. Use pytesseract to process different type of images and localize text location with confidence.

September 07, 2021

Introduction to CallBacks in Tensorflow 2

Tensorflow callbacks are very important to customize behaviour of Keras Tensorflow models in training or evaluation. We can either use predefined callbacks from tensorflow or can write our own callbacks to do some process.

June 19, 2021

Text Data Augmentation using NLPAug

We have different triditional and Machine Learning based methods for increasing our training data by changing data shape, adding noise or creating nearly similar data using current dataset. NLPAug is an open source python package for data augmentation using different methods and pretrained Deep Learning models.

May 14, 2021

Train and Deploy Machine Learning models using Azure ML

AzureML is a machine learning cloud-based service from Azure cloud used for development, training and deployment of Machine Learning models and solutions

May 09, 2021

Emotion Classification from text using Tensorflow 2

Emotion Classification is a Natural Language Processing task in Machine Learning where we can process text data and classify into different classes and can detect sentiment of given text.

May 02, 2021

Face detection and matching with Azure Cognitive Services

Use Azure Cognitive face service to detect faces in images and also match faces to recognize person in images. We can also use it to group faces and face recognition.

May 02, 2021

Connect custom domain to Google Compute Engine

Connect a custom domain from any domain provider to Google cloud compute engine

March 17, 2021

Train Image Classification model using Azure Cognitive Services

Train a Deep learning image classification model with no or very less code and serve using an endpoint using azure cognitive services.

January 24, 2021

Train Image Classification model using tensorflow

Image classification is a very basic example in computer vision yet used widely for a lot of tasks. In image classification, we can input and image to deep learning model and get related label for class which image belongs to. We can use image classification for classifying an object from different classes, checking quality of a manufactured objects(good or not),

January 18, 2021

Tensorflow classification models optimization using TensorRT

Optimize tensorflow deep learning models using TensorRT by nvidia to speed up inference of models with good accuracy.

January 10, 2021

Deploy keras image classification model using flask and Docker on Azure

For any model, we train for a specific purpose, we need to deploy it on some cloud or local device to use it for new data, so here we will learn about cloud deployment as API

January 10, 2021

Face detection using Face_recognition library

Face Detection and Recognition is a very used part in Deep Learning. We use face detection and recognition for different tasks like login on applications, person recognition and different attendence systems.