The Art Of Electronics

 Hello friends! Welcome to the last post on Image Editing Software. In this post, you will be learning how to apply color filters to an image. We will be doing this using the OpenCV library package. You can also check out the video below.  So let's get started. We will start by importing Opencv and Numpy to our code.  import cv2 import numpy as np And now we will start writing the callback methods for applying filters. Let us start with the  yellowButton_callback() method.  def yellowButton_callback (): opencvImage = cv2.cvtColor(np.array(originalImage) , cv2.COLOR_RGB2BGR) opencvImage[: , : , 0 ] = 20 global outputImage outputImage = Image.fromarray(cv2.cvtColor(opencvImage , cv2.COLOR_BGR2RGB)) dispayImage(outputImage) Alright. Let us understand the above code line by line. To apply a color filter I have to manipulate the image array. So I need the image in an array form. np.array(originalImage) converts the image that we read using the PI...

 Hello! In this post, you will be learning how to change the brightness and contrast of an image using the PIL library package. You can check out the video below to learn more.  We will continue to build out previous code. Let us start by importing the required library package. from PIL import ImageEnhance The ImageEnhance package will be used to change the brightness and contrast of an image. Now, we will be writing a few lines to the brightness_callback() method.  def brightness_callback (brightness_pos): brightness_pos = float (brightness_pos) global outputImage enhancer = ImageEnhance.Brightness(originalImage) outputImage = enhancer.enhance(brightness_pos) dispayImage(outputImage) brightness_callback() method requires an argument to be passed. This argument holds the current position of the slider and is of string type. The ImageEnhance library package needs a variable of float type. So that is why in the first line we have converted the brightne...

 Hello friends! Let us continue developing our GUI of image editing software. You can check out the previous post by clicking here , where we have learned to create a window and add a few buttons to it. In this post, we will be adding sliders to our GUI which will be used to adjust the brightness and contrast of the image. You can check out the video below. We will continue developing our previous code. For placing the sliders we will use another frame. For creating the frame use the code below.  Frame2 = tk.Frame(window , height = 20 ) Frame2.pack( anchor =tk.NW) Frame2 will be holding the sliders of brightness and contrast adjustments. We have anchored the Frame2 to the northwest corner in our window. Let us now create the sliders for our window.  brightnessSlider = tk.Scale(Frame2 , label = "Brightness" , from_ = 0 , to = 2 , orient =tk.HORIZONTAL , length =screen_width , resolution = 0.1 , command =brightness_callback) brightnessSlider.pack...

Hello Friends! We are going to develop an Image Editing Software in python. We will be using various libraries like Tkinter, PIL, and OpenCV. We will be developing several features like brightness adjustment, contrast adjustment, applying various filters on the image, etc. So why wait? Let's get started. Make sure to check out the video below before starting. We will start by designing the GUI and later on, we will add the required functionalities to it for image editing. In this tutorial, we will be creating a window that will hold 3 buttons(Import, Save, Close). To create the GUI we will start by importing the Tkinter in our python file as shown below. import tkinter as tk To create a window we will have to call a method called tk.Tk(). window = tk.Tk() So the window is ready. But if you run the above code, you won't see anything appearing on the screen. This is because the program has finished execution. You will have to add a loop to hold the window on the screen. For that,...

Hello Friends! In this blog, you will learn to find out the distance between you and your webcam. Take a look at the video below.  Let's get started. For this project, we will be using face detection using the Haar Cascade method. Therefore, we need to download the cascade classifier for face detection from Github. You can download and paste the file from this link . Let us first understand what is Haar Cascade?  Haar Cascade  is a machine learning object detection algorithm used to identify objects in an image or video and based on various​​ features.  If you want to read a more detailed version of it, check out this link . Now, we will start by importing the libraries and define a variable to capture video from my webcam. import cv2 import numpy as np cap = cv2.VideoCapture( 0 ) Let us import our classifier file which we downloaded from Github. face = cv2.CascadeClassifier( 'haarcascade_frontalface_alt.xml' ) write a while loop and capture the image frames. Also, w...