OCR in short Optical Character Recognition or optical character reader is an essential part of data mining, which mainly deals with typed, handwritten, or printed documents. Every image in the world contains some information. In this post I will explain you detailed code for pytesseract (python wrapper of tesseract) image to string operation.
This post to show you how to Train YOLO Custom object detection model in Windows GPU. Make your own object detector to detect specific object
Here in this post, I tried to give you a starting point to build and deploy object.
Here in this post, I tried to give you a starting point to build and deploy sentiment analysis Flask app. You can then modify it to develop your own project, where you may want to build Twitter sentiment analysis web app or you can use a different model to do sentiment analysis.
To develop any Computer Vision web application image is required. In this post, I will show you how to upload and display images in Flask. If you are new to Flask, I have written some basic tutorials for Flask with Python, you can definitely read those.
To develop any Machine Learning web application data is required. in this post, I will show you how to upload and display CSV files in HTML table Flask.
In this post I will show you how to use css in python flask to make your web page realistic. To make a stylish web page you must add HTML and CSS into your web page. Flask allows us to integrate HTML and CSS files as template for your web page. So let’s see how we can do this.
Flask is a very important web framework in python to create web applications, APIs, Machine Learning applications, etc. In my last few post, I discussed web application development using Django. Flask framework is more explicit and easier to learn than the Django framework. Flask is built on top of the WSGI(Web Server Gateway Interface) toolkit and Jinja2 template engine.
Complete python roadmap: In this tutorial, I will share 4 steps on how one can start as a beginner and become an expert in python coding.
In this tutorial, I will show you how to implement a COVID-19 social distancing detector using OpenCV, Computer Vision and Deep Learning.
