Artificial Intelligence

Prologue Apr 23rd, 2020 – YOLOv4 was released... ...June 10th 2020, YOLOv5 was also released. Marvelous ain’t it...at how fast we are progressing in our research and technology. I mean to get the next generation of the popular object detection framework so soon after its predecessor was just released. Is YOLOv5 really here or is it a ruse ? We’ll investigate the evidence as objectively as possible, right now in this article, so stay tuned. Source : https://github.com/ultralytics/yolov5 For those who don’t know what YOLO is, it a real-time object detection framework and stands for You Only Look Once. Meaning the image is only passed once through the FCNN or fully convolutional neural network. I will not go into the technical details of how YOLO works, as I’ve already have 2 videos on my YouTube Channel explained YOLOv1 originated by Joseph Redmon et. Al. all the way to YOLOv4 upgrade by Bochkovskiy et. al. For those of you are interested in my course , there will be a link in the des...

Hey guys and welcome back, so in this little demo that you are seeing right now is an app that is demonstrating how YOLOv4 can be used for social distancing. So, in this tutorial, I am going to show you how you can implement your own social distancing app using YOLOv4. So how the app works is that after we perform detection with YOLOv4, we calculate the Euclidean distance between all the detected boxes and filter out or flag the people that are closest to each other indicating that they are at risk. So Would you like to learn how to make your own Social Distancing Monitoring App? Well, you are in luck cos' I have just uploaded a tutorial on how YOLOv4 can be used to monitor social distancing.  Check out the link: CLICK HERE : If you are interested in Enrolling in my upcoming course on YOLOv4 then sign up over here when it gets released - Click Here YOLOV4 Course - Coming Soon! Road Map Okay great! So now that we have YOLOv4 working, lets take a look out road map going forth: Tut...

Darknet and YOLOV4 Installation Documentation Hey guys and welcome back, so in the last lecture, we spent some time setting up the prerequisites for YOLOv4, like Visual Studio, Python, CUDA, CuDnn and OpenCV. If you have not completed the previous tutorial, then I highly suggest that you do because this lecture builds upon the steps we took in the previous tutorial . So if you have completed that tutorial , then this lecture we are going to be installing Darknet Framework and thus YOLOv4. By the end of this tutorial you will be able to implement YOLOv4 on an Image and on Video. I’m sure you must be excited, Okay so let’s get into the tutorial. Watch the Full Video Tutorial Here Step 1 Cloned repository from official Github of AlexyAB [link] Step 2 Copy OpenCV_ffmpeg and _world dll’s for 4.1.0 version(can be used for OpenCV video processing) near to darknet.exe Step 3 Copied cuDNN.dll(for accelerating the neural network processes) near to darknet.exe Step 4 Change the CUDA version if yo...

Tutorial on YouTube Introduction Hey guys and welcome back, so in the last lecture, I spoke about how YOLOv4 works and why its so awesome! Today I’m going to show you how to install the main dependencies in 10 Steps. If you follow these steps with me you should be able to get YOLOv4 working on images, videos and webcams in the upcoming tutorials. Let’s go through the 10 steps that we need to for YOLOv4 . Install Python Git Installation CMake Installation Visual Studio Installation Updating GPU Driver CUDA installation CuDNN Installation OpenCV Installation CMake OpenCV Configuration, and Building OpenCV in Visual Studio It may seem like a lot of steps but, it is more reliable that using Anaconda to install everything. Well at least from my experience. Some Prerequisites that you will need for this tutorial: Are a mid to high range PC/Laptop Windows 10, we will be launching an Ubuntu version of this YOLOv4 soon., and A CUDA supported NVIDIA GPU, Just note that this will NOT work on ...

YOLOv4 results on MS COCO Object detection [1] Introduction So guess what, YOLOv4 has just been released a few days ago, and I must say I am really really excited by this release. Why? Well Yolo version 3 was quite popular, robust and quick, and now YOLOv4 in comparison I feel is a significant upgrade in terms of speed and performance. So, this article I am going to dissect the paper YOLOv4: Optimal Speed and Accuracy of Object Detection by Alexey Bochkovsky, Chien Yao and Hon-Yuan [1]. Wait – hold, what happened to the original creators of Yolo v1-3 Joseph Redmon and Ali Farhadi – Well Joseph or Joe tweeted in Feb 2020 that he will stop Computer vision research because of how the technology was being used for military applications and that the privacy concerns were have a societal impact. Ali Farhadi went on to found a company called xnor.ai which specialized in on edge-centric AI. According to Forbes [2], They have since been acquired by Apple, surprise surprise :P. Okay so back ...

I'm really EXCITED to announce may latest Project Smart Glass Series on YouTube. In this tutorial series, I will be showing you how to make your own Glass Hologram on a DIY transparent display. To Learn how I created this, then click right HERE Remember to subscribe and click that bell icon to be the first to watch. ;) I really hope that you stay safe during this period, hopefully it shall pass soon, and we can go back to our normal way of life. But for now, please make sure to wash your hands thoroughly and practice social distancing .

Vuforia Augmented Reality Course So, you want to be a Vuforia Augmented Reality Developer in Unity 2020.1? Click the link below to learn more! Vuforia - Augmented Reality Course Limited Time Discount ► https://augmentedstartups.info/Vuforia80OFF You are going to be learning: Basics of Vuforia in Unity. Multiple AR Targets, AR video projector, Pressing virtual buttons, Using Leap Motion in Augmented Reality, Smart Terrain, Ground Plane, Model Targets, VISLAM, Android Deployment! We cover Vuforia 6, 7 and the latest version 8 in the latest Unity 2020! – No other course online covers this! My name is Ritesh Kanjee, The Founder of the popular YouTube Channel Augmented Startups, teaching AI, Augmented Reality , IoT to over 61 thousand subscribers, 46 000 students, Masters in Electronic Engineering and travelling around the world . My Online Tutorials are alone one of the most viewed videos, some with over 200 thousand views and you’ll find them ranked number one on YouTube. And I’ve als...