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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

## Detect color schemes

Microsoft Computer Vision analyzes the colors in an image to provide the following attributes:
* The dominant foreground color.
* The dominant background color.
* The set of dominant colors in the image as a whole.
* Accent color (the most vibrant color in the image, based on a combination of dominant colors and saturation). It is returned as a hexadecimal HTML color code.
* A boolean value indicating whether an image is in black and white.

To understand this better, let’s look at an example with this image:

# Detect color schemes

Microsoft Computer Vision analyzes the colors in an image to provide the following attributes:
* The dominant foreground color.
* The dominant background color.
* The set of dominant colors in the image as a whole.
* Accent color (the most vibrant color in the image, based on a combination of dominant colors and saturation). It is returned as a hexadecimal HTML color code.
* A boolean value indicating whether an image is in black and white.

To understand this better, let’s look at an example with this image:

Let’s learn how to detect color schemes, landmarks, and the type of image.

Get Started

Optical Character Recognition

Image Analysis

Sample Application

Conclusion

Identify Image Attributes and Landmarks

Detect color schemes