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Open Source Computer Vision Library (OpenCV) is an open source machine learning library used primarily for computer visions applications. OpenCV contains over 2,500 optimized algorithms (including state of the art computer vision ones).

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I'm preparing my first paper in computer vision, which presents a hybrid pipeline combining deep learning with classical techniques. The training process is fully automated across datasets, except for ...
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This is the full repo. https://github.com/MortalWombat-repo/ebrojevi_ocr_api this is the app.py preprocess function from the repo where opencv is used https://github.com/MortalWombat-repo/...
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In the context of machine vision, I need to evaluate the rotation of a polygon recognized on an image based on a reference polygon. This is better explained with a picture: The reference polygon is ...
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My goal is to calibrate my camera using ArUco images. I am using OpenCV 4.11.0 and python3.8.8 I am able to reproduce the results from the chess board tutorial (https://docs.opencv.org/4.x/dc/dbb/...
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I am trying to implement a system for counting people in a building using Python and OpenCV, but I have one problem. The system for tracking people doesn't work very well; it can't track a person all ...
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I am doing a physics lab where I need to take photos of a light and the intensity of the light changes. I have the photos but I need to understand how to get the average wattage from the images. There ...
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My laptop has NVIDIA GeForce GTX1650 GPU. I want to utilize this GPU to run my Python script. Any help in the form of code would be really helpful. I mean tried researching this so much but I couldn't ...
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I want to detect door blockage on a camera. Basically if the exit door is blocked by an object, it detects it as an anomaly. How can we do it? Is it possible to do it using OpenCV? Remember, it doesn’...
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I have a bunch of documents in which I want to highlight certain paragraphs/keyphrases. I have a list of the most frequently appearing sentences and I want to search for these paragraphs/keyphrases in ...
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In the picture below there are some regions which are very bright (i.e. more white). Some bright regions are wide and some are narrow or thin. The red box covers one such wide bright spot, and blue ...
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First, my 3 separate scenarios and my input image Scenario 1: Copying input image onto new variable by " = " ...
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let us consider following code -which reads image, applies histogram equalization procedure and display both result : ...
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Im trying to brighten and dim an image using OpenCV with two approaches. Approach 1: Used OpenCV's add and subtract functions to ...
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I want to my code to return multiple(5) predictions from my trained knn model. I've tried using predict_proba() but it just returns the probabilities and not the names Here is my code: ...
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I want to extract text data from the image, however not sure what approach I should take. Steps successfully performed Dataset collection Image Preprocessing done Image Augmentation done Final Image ...
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