Hey guys, in the upcoming Computer Vision tutorial Series, we are going to explore what Siam Mask is and how you can use it to track the mask segmentations of an object with state-of-the-art performance in terms of robustness, accuracy and real-time framerate. We will be using OpenCV in Python
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Now if you look closely at the demo, you can see how really well SiamMask works even for object that blend in with the background and deform significantly in terms of perspective within the video.
Source : Wang et. al.
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Level-up project! Multi-Object Detection and Tracking of Passing Vehicles. With better UI, types of each vehicles can easily identify immediately.???️ Another great application for traffic monitoring.? Learn how to code this, only here at Augmented Startups. The full course on ? YOLOX Object Detection with full-stack computer vision dashboard ?️ is waiting for you! Special Thanks to Dragos Stan and Rohit Kukreja for the code and demo.?
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YoloR just got released, and it is better and faster than YoloV4, Scaled YoloV4, YoloV5 and PP-YOLOv2. In this YOLOR Object Detection Tutorial, You will get YOLOR (You Only Learn One Representation) working on both GPU and CPU, on Images and real-time Video using a Webcam. All right here and right now. No time to waste guys, lets get started!!
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Learn YOLOv4 Object Detection | OpenCV Python | Computer Vision (2021)"
https://www.youtube.com/watch?v=Iw3tducClFw --~--
In Augmented Reality Apps Tutorial I will show you how to download and install Vuforia in Unity
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Vuforia 7 / Unity 2017.3 Download/Install and HelloWorldAR
Hey guys and welcome back. So this lecture is an update to the course using the latest version of Unity at the time of this recording which is Unity 2017.3 . You may also older versions of Unity as prescribed in this course. I used Unity 5.4.3 as most of the lectures were recorded using this version and also gave the least problems. I know people have been having compatibility issues between Vuforia and Unity where students have encounter black or white screens during playback. There was also an issue with laptop webcams not being compatible. I believe that this latest version of Unity 2017.3 will solve these common issues, mainly because Vuforia version 7 (which is the latest version of Vuforia at the time of this recording) is baked right into Unity3D SDK. So hopefully as a result of this collaboration, the bugs should be sorted out.
If you do happen to encounter any issues during this course while using Unity 2017 and Vuforia 7. I suggest completing this course using Unity 5.4.3 with Vuforia 6.2 and thereafter migrating to the latest version of Unity. On top of this, please notify of these issues you encounter in the discussion area, and I will update the course with videos to address these issues. So without further adue, lets get Augmented reality working using the latest Unity 2017.3 and Vuforia 7. We will develop the Hello World of AR which is a floating AR cube to show it works.
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I created a Drone that takes gesture commands via an onboard computer vision module called the OpenCV AI Kit. The AI detects these gestures and then sends commands to a Raspberry Pi to process the logic. The output of the logic then gets sent to a PixHawk flight controller to process the flight commands.
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In this lecture, we will move the Xilinx SDK in eclipse and program a simple hello world app via UART on the Zynq SOC FPGA.
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You will have to set up your hardware peripherals as shown in the previous video if you haven't already seen it
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In this video, we use a Micozed board but you can use any Zynq device or even a Microblaze processor to Run this code
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There are several AI-Based Image Generators, such as Midjourney, DALL-E 2, Imagen, and Stable Diffusion. In the previous video, we covered Midjourney in detail. In this video, we will have a Midjourney Demo, explaining how to use Midjourney Beta, use the /imagine command, how to upscale your image, how to create variations, and how to save the image.
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