Artificial Intelligence

Okay right here right now I am going to show you how you can build your own Facial Recognition Attendance GUI using PyQt. The reason for building a GUI is obvious, if you want to roll your application, for example, it needs to be presented well and therefore you will need a user interface or UI. So this video is actually Part 2 of 2 of the facial recognition attendance project as Augmented startups have collaborated with the channel Murtaza’s Workshop. So Murtaza has part 1 which will show you how build your own facial recognition attendance system and here in part 2 right now, we are going to build on top of his foundation so that we have a user interface app that can be deployed cross platform. Also by building this app you will also learn the fundamentals of how to build your own apps using the PyQT framework. Links ►YOLOv4 PyQt Course - https://augmentedstartups.info/yolov4... ►Part 1 - Murtaza's Facial Recognition Project - http://bit.ly/MurtazaPart1 ►GitHub Code - htt...

The Quick OAK on Raspberry Pi Installation Procedure Go over to https://docs.luxonis.com/api/#python_version and follow the instructions there If you run into any issues, then upgrade pip python3 -m pip install -U pip python3 -m pip install -r requirements.txt 3. To install OpenCV manually follow instructions here https://www.raspberrypi.org/forums/viewtopic.php?t=232294 or execute the following commands. sudo pip3 install opencv-python sudo apt-get install libcblas-dev sudo apt-get install libhdf5-dev sudo apt-get install libhdf5-serial-dev sudo apt-get install libatlas-base-dev sudo apt-get install libjasper-dev sudo apt-get install libqtgui4 sudo apt-get install libqt4-test 4. Connect your device and try python3 test.py If you are interested in Enrolling in my upcoming course on YOLOv4 and OAK then sign up over here when it gets released - Click Here Source : https://augmentedstartups.info/yolov4release

Introduction Okay so I just got my OpenCV AI Kit and I am really excited to play with. But even though Iv seen a bunch of features on Kickstarter, I don’t quite understand the true capabilities of this device and why I should even care . Well in this video we going take a deep dive into this device and find out exactly what its capable off, and at the end of the video I will share my thoughts on if this device is worth all the hype as well how it matches up to the competition. What is the OpenCV AI Kit So before we get into that, lets get into the first question of What exactly is the OpenCV AI Kit or OAK. According to the creators, it is a tiny, powerful, open source Spatial AI system. So you can think of it as if an embedded 4k camera and neural compute stick had a baby, make that two babies OAK-1 and OAK-D Difference between the OAK 1 – OAK D Now What sets these two devices apart is that the OAK-1 has automatic motion-based lossless digital zooming which means that the sensor has ...

Introduction So in this article, Im going to give to you a clear and simple explanation on how Deep SORT works and why its so amazing compared to other models like Tracktor++, Track-RCNN and JDE. But to understand how DeepSORT works, we first have to go back, waaay back and understand the fundamentals of object tracking and the key innovations that had to happen along the way, for DeepSORT to emerge. Before we get started, if you are interested in developing object tracking apps, then checkout my course in the link down below, where I show you how you can fuse the popular YOLOv4 with DeepSORT for robust and real-time applications. Okay so back to Object Tracking. Now lets imagine that you that you are working for Space X, and Mr. Musk has tasked you with ensuring that on launch, the ground camera is always pointing at the Falcon 9 as it thrust into the atmosphere. As much as you are excited to be personally chosen by Elon to work on this task you ask yourself, “How will I go about th...

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...