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Integrating Microsoft Computer Vision API with Python.png

Dockerfile.tar.gz

Azure

Django

In this course, you will learn to integrate Microsoft Computer Vision API. This API provides multiple functionalities such as extracting text from images, describing the image in human-understandable language, and moderating the content of an image.

More specifically, you will dive into Optical Character Recognition (OCR) and image analysis, effectively giving you a toolset to analyze any image you want.

Integrating Microsoft Computer Vision API with Python

## Introduction
In this lesson, we'll use a sample application to test Microsoft Computer Vision's APIs. First, we made a new project on Django by the name `mscv`. Then we made an application by the name `apis` in the project. The application has the following three models:

* **`Key_Endpoint`** to store the key and endpoint to make the API call.
* **`OCR`** to extract texts from images and PDFs
* **`ImageAnalysis2`** to perform all the operations explained in the Image Analysis section.

# Introduction
In this lesson, we'll use a sample application to test Microsoft Computer Vision's APIs. First, we made a new project on Django by the name `mscv`. Then we made an application by the name `apis` in the project. The application has the following three models:

* **`Key_Endpoint`** to store the key and endpoint to make the API call.
* **`OCR`** to extract texts from images and PDFs
* **`ImageAnalysis2`** to perform all the operations explained in the Image Analysis section.

Let’s explore the uses of Microsoft Computer Vision with the help of a Django application.

Get Started

Optical Character Recognition

Image Analysis

Sample Application

Conclusion

Analyze Images with Cognitive Services

Introduction