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SOUMYADEEP CHATTERJEE

Student and Writer


I’m Soumyadeep Chatterjee. I’m a student living in India. I am a fan of technology, entrepreneurship, and programming. I’m also interested in writing and web development. You can read my articles with a click on the link. You can also visit our Facebook page.




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Distance measurement using opencv

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In Covid-19 pandemic, we all know about the importance of Social Distancing . Right now, It is the only thing that can help to reduce the number of affected people. So I have decided to make a social distancing checker using python. The main idea is to measure the distance of object in the image and if the distance between two objects are less than some predefined pixel value then 'green' dot at the center of the bounding-box will convert to 'red' dot . The output of the code will like this- social distancing checker Python code for Distance Measurement I am providing the python code to measure the distance of the object in the image or each frame of a video. Later I will discuss some key points related to the code. Key points to be Noted: Everything will be the same like object detection (discussed in Part-I and Part-II ) as I have implemented distance measurement based on object detection. We will filter out only the  'person' object   from the obje
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Object Detection (Part I)

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The most fundamental computer technology related to Computer vision and Image Processing is Object Detection. It deals with detecting the   semantic object of a certain class in digital images and videos. Have a look on the images, bellow. Object detection with YOLO Detecting home objects Here, we can see that the model can detect the home objects (chair, bag, laptop, bottle, laptop, bowl, cup etc.) and also the outer-home objects ( bus, bi-cycle, human, car etc.).  Object Detection Object Detection is a supervised learning technique by which the model can detect or predict the object present in the digital images or videos. We can make our own object detecting tool using python with the help of Computer vision with deep learning model ( Here we have used YOLO model ). In this post we are going to create our own object detecting model in python.  As this is the PART-I, I will keep this very simple but FPS(Frames Per Seconds)  will be very low due to its simplicity. In the next post
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Invisible Cloak using OpenCV

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Have you ever seen Harry Potter’s   Invisible Cloak   If not then let's have a look.     Was it wonderful? Do you surprised how this can be possible? If yes, then this post is going to help you. You will be able to make such invisible cloak by your own but yes, not in real way but it is all about graphics . Algorithm behind the idea First, we take the background frame ( for some second ) and store in the memory. Then, we will take the frame with cloth. Then, detect and segment the portion of the cloth of pre-determined color. For Example here we will use Red. [ known as Color Detection and Image Segmentation ] Then, that segment will be replaced by the background , we have stored in the memory, segment. At last, create the final image to make the magic. Note: All the things will be done in python due to the availability of the various libraries mainly numpy . Python Code: First of all, importing all the required libraries.   To make a vid
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