In this tutorial, you will learn how to perform face recognition using Local Binary Patterns (LBPs), OpenCV, and the “cv2.face.LBPHFaceRecognizer_create” function.

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How R-CNN, Fast R-CNN and Faster RCNN works, explained in simplified version. These are object detection algorithm to detect object from an given image.
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#RCNN
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This tutorial is covered in the Computer Vision Game Development Course:
https://bit.ly/3ttLZ2s

Premium Courses:
✔️ Computer Vision Game Development Course:
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Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_for_microscopists

Segmentation Models library info:
pip install segmentation-models

https://github.com/qubvel/segmentation_models
Recommended for colab execution…

Revisiting the decade-long problem with a new toolkit

👉 AI Vision Courses + Community → https://www.skool.com/ai-vision-academy

Blog: https://pysource.com/2021/12/07/how-to-count-people-from-cctv-cameras-with-opencv-and-deep-learning/

We will see how to identify and count people from CCTV cameras with the…

In this video, I have discussed the path to become an IoT developer. I have discussed the 3 phases for mastering the Internet of Things in 2years. I have shared some strategies to earn from IoT.

Resources:
IoT Security:-
Payatu: https://payatu.com/blog
EXPLIoT:…

جلسه یازدهم یادگیری ماشین در پایتون
موضوع: مقدمه‌ ای بر یادگیری ماشین
نام مدرس: رضا اکبری موحد
برای دریافت فایل‌های ضمیمه دوره به لینک زیر مراجعه کنید
https://github.com/r-akbarimovahed/Machine-Learning-in-Python/tree/main/Lecture%2011

-----------------…

#2 best model for Blind Face Restoration on CelebA-Test (LPIPS metric)

PhD Project - Impact of clean air actions on air quality, health and economy using big data and machine learning techniques at University of Birmingham, listed on FindAPhD.com

Here, we discuss the Kalman Filter, which is an optimal full-state estimator, given Gaussian white noise disturbances and measurement noise.

These lectures follow Chapters 1 & 3 from:

Machine learning control, by Duriez, Brunton, & Noack
https://www.am…

Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

A friendly introduction to Bayes Theorem and Hidden Markov Models, with simple examples. No background knowledge needed, except basic probability.…

In this video, I'll provide you with a basic introduction to the types of neural network and explain the difference between ANN CNN and RNN to help grasp a fundamental understanding of the concept. Individually, these terms stand for the following,
- ANN…

این ویدئو یکی از قسمت‌های دوره آموزشی پردازش تصاویر دیجیتال در پایتونه. توی این ویدئو یاد میگیری که چطوری یک تصویر فیلتر و پیش پردازش کنی. همچنین یاد میگیری که چطوری لبه‌یابی، رسم هیستوگرام و تبدیل متعادل‌سازی هیستوگرامو تو پایتون روی تصاویر انجام بدی.--…

Call for #PhD applications:
After a tough couple of years, we are accepting applications for international scholarship candidates at the University of… | 40 comments on LinkedIn