​I Built My Own Self-Driving Car. Part #1

In this part of article I am going to build a very basic car detection classifier using Python and OpenCV. There is a variety of different object detection and classification techniques and I am going to pay particular attention to the use of Haar Cascades. However, the Haar Cascade classification itself would be covered very briefly in this particular article.

#programming #IT #artificialintellegence #developer #HaarCascade #Python #OpenCV #MadDevs

https://blog.maddevs.io/i-built-my-own-self-driving-car-part-1-4478551ee205

🔗 I Built My Own Self-Driving Car. Part #1 – Mad Devs

​I Built My Own Self-Driving Car. Part #3
In the last article, I have introduced you to a very simple lane detection with OpenCV. Taking into account the simplicity, it was doing well. However, it was not up to my expectations. Looks like the current solution that I am going to show you today does not get better unless you want switch to the Recurrent Convolutional Neural Networks (and this is exactly what I am up to). We are going to talk about a way to get better results based on the Hough Transform method output.

#programming #IT #artificialintellegence #developer #HaarCascade #Python #OpenCV #MadDevs

https://blog.maddevs.io/i-built-my-own-self-driving-car-part-3-1ca1d85e9d59

🔗 I Built My Own Self-Driving Car. Part #3 – Mad Devs

​I Built My Own Self-Driving Car. Part #2

In my last article, I have played around with OpenCV and Haar Cascade Classifier in order to detect vehicles. It did not perform very well though. There were many false predictions and the FPS could not get above 15. Today I will introduce you to the third version of the YOLO algorithm developed for the Darknet and ported to Tensorflow and Keras so we can use a nice and shiny Python environment. We are not going to train our own model today and use pre-trained weights.

#programming #IT #artificialintellegence #developer #HaarCascade #Python #OpenCV #MadDevs

https://blog.maddevs.io/i-built-my-own-self-driving-car-part-2-e3894ce4eb42

🔗 I Built My Own Self-Driving Car. Part #2 – Mad Devs

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Telegram бот с компьютерным зрением на Python. Система охраны из ноутбука.
Наш телеграм канал - tglink.me/ai_machinelearning_big_data
https://www.youtube.com/watch?v=z8o2hfEbMsw

🎥 Telegram бот с компьютерным зрением на Python. Система охраны из ноутбука.
👁 1 раз ⏳ 624 сек.
Сегодня мы рассмотрим применение компьютерного зрения, а в частности библиотеки OpenCV в связке с Telegram ботом намисанным на языке Python. Для реализации построения бюджетной охранной системы из простого ноутбука.
#Telegram #Бот #OpenCV #Python

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OpenCV Python Tutorial For Beginners 30 - Probabilistic Hough Transform using HoughLinesP in OpenCV

🎥 OpenCV Python Tutorial For Beginners 30 - Probabilistic Hough Transform using HoughLinesP in OpenCV
👁 1 раз ⏳ 648 сек.
code - https://gist.github.com/pknowledge/baa1e9785d818e70be78f7ac5795ee51
In this video on OpenCV Python Tutorial For Beginners, we are going to see Probabilistic Hough Transform using HoughLinesP method in OpenCV.
OpenCV implements two kind of Hough Line Transforms
The Standard Hough Transform (HoughLines method)
The Probabilistic Hough Line Transform (HoughLinesP method)

lines=cv.HoughLinesP(image, rho, theta, threshold[, lines[, minLineLength[, maxLineGap]]])

rho : Distance resolution of the accum