Xander  Hane

Xander Hane


Detecting low contrast images with OpenCV, scikit-image, and Python - PyImageSearch

In this tutorial you will learn how to detect low contrast images using OpenCV and scikit-image.

Whenever I teach the fundamentals of computer vision and image processing to students eager to learn, one of the first things I teach is:

“It’s far easier to write code for images captured in controlled lighting conditions than in dynamic conditions with no guarantees.

If you are able to control the environment and, most importantly, the lighting when you capture an image, the easier it will be to write code to process the image.

With controlled lighting conditions you’re able to hard-code parameters, including:

  • Amount of blurring
  • Edge detection bounds
  • Thresholding limits
  • Etc.


What is GEEK

Buddha Community

Detecting low contrast images with OpenCV, scikit-image, and Python - PyImageSearch
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Chando Dhar

Chando Dhar


Deep Learning Project : Real Time Object Detection in Python & Opencv

Real Time Object Detection in Python And OpenCV

Github Link: https://github.com/Chando0185/Object_Detection

Blog Link: https://knowledgedoctor37.blogspot.com/#

I’m on Instagram as @knowledge_doctor.

Follow Me On Instagram :

Like My Facebook Page:


#python project #object detection #python opencv #opencv object detection #object detection in python #python opencv for object detection

Python and OpenCV: Apply Filters to Images

I am pretty sure you have tried out various filters available on the social platforms and your camera as well.

Today in this tutorial, we will be applying few of the filters to images. Exciting right?

Let’s begin!

Table of Contents

1. Importing Modules

2. Loading the initial image

#python programming examples #python and opencv: apply filters to images #apply filters to images #python and opencv #opencv #filters to images

Ray  Patel

Ray Patel


Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Python Imread(): Different Ways to Load an Image using The OpenCV.imread() Method

In this tutorial, we will learn how to use imread() method of OpenCV-Python in detail and different ways to load an image using imread() method.

Table of Contents

What is Python imread()?

Importing OpenCV to use Python imread()

Syntax of the Python imread() method

Image formats supported by Python imread() method

#python modules #opencv-python #python imread() #opencv.imread() #python imread(): different ways to load an image using the opencv.imread() method #load an image