leveLXData by fka’s Post

Just wrapped up an in-depth dive into AVL Trees! 🌳⚖️ It's incredible how these self-balancing binary search trees maintain optimal height through rotations. Understanding the concepts of balance factors and rotations was mind-blowing. Can't wait to apply this knowledge to real-world projects! #AVLtrees #learningnewthings #codinglife #algorithms #datastructures #softwareengineering #tech

Object detection with YOLO and OpenCV A simple C# example with OpenCVSharp (an OpenCV wrapper library for .NET) applying a pre-trained YOLO v4 model based on dataset COCO (Common Objects in COntext) for object detection. In this case it detects cars (no trucks, no motorbikes) and counts them. #opencvsharp #yolo4tiny #opencv #net

💡 Day 25 of #100DaysOfProgrammingChallenge 🚀 Challenge Accepted: #9 Palindrome Number ✨ Let's dive into the world of numbers and determine if a given integer is a palindrome! 🔍 Given an integer 'x', our task is to check if it reads the same forward and backward. A palindromic number remains unchanged even when its digits are reversed. Here's a quick example to illustrate: - Input: x = 121 - Output: true - Explanation: 121 reads as 121 from left to right and from right to left. Ready to uncover whether numbers are palindromic? Join me in solving this fascinating problem! 💻 #CodingChallenge #Algorithms #PalindromeNumber #NumberTheory

🚗 Automated Car Parking Space Detection Using Computer Vision 🚗 I recently worked on a project that uses computer vision to detect available parking spaces in real-time! This project involved creating a system that processes video feeds to identify empty parking spots, helping to optimize parking management and reduce the time spent searching for parking. 🔍 Key Features: • Video Processing: Utilizes OpenCV to read and process video frames. • Edge Detection: Converts frames to grayscale, applies Gaussian blur, and uses adaptive thresholding to highlight edges. • Noise Reduction: Applies median blur and dilation to reduce noise and enhance detection accuracy. • Space Detection: Counts non-zero elements in defined parking spot areas to determine occupancy. • Real-Time Feedback: Displays the number of available parking spaces on the video feed. 🛠️ Technologies Used: • Python: For scripting and automation. • OpenCV: For computer vision tasks and image processing. • Pickle: For storing and loading parking position coordinates. Check out the project on GitHub for more details: https://lnkd.in/gpkxJqxs #ComputerVision #AI #OpenCV #Python #SmartParking

🧩 The Longest Substring Palindrome Problem 🧩 This challenge was such a cool experience for me! 😎 Even though checking for a palindrome is a straightforward task, finding the longest palindrome inside a string turned out to be a tough nut to crack. Thoroughly enjoyed this one. 💻 #CodingChallenges #ProblemSolving #Palindrome #ContinuousLearning #DataStructure #Algorithm

🚀Jetson Examples Ultralytics-YOLO Application v2 is online! Check out our GitHub repo for more info: https://lnkd.in/gkTp7cei Here you'll see how to seamlessly deploy Ultralytics #YOLOv8 models on #reComputer, the NVIDIA Robotics Jetson edge device through WebUI and API interfaces. All in one click 🔮 Major updates based on the previous version: ✅ add one-click TensorRT format conversion🔄 for all YOLOv8 task models ✅ HTTP API content interaction to integrate the data with your own projects, easily achieve plug-and-play ✅ provide an additional Python script to read YOLOv8 detection data within Docker. Demo on YouTube channel: https://lnkd.in/gVrE8vRD #nvidia #jetson #edgeai #computervision #machinelearning #objectdetection #segmentation #poseestimation #classification

🚀 Day 31 of the DSA A-Z Challenge: Today, I solved a problem involving finding the single number in an array where every element appears twice except for one! Focused on techniques to efficiently identify the unique element in an array with linear runtime complexity and constant extra space. #DSAChallenge #Arrays #LearningJourney #ProgrammingSkills #Algorithms #DataStructures #Striver #TakeUForward #StriverAtoZ

Improve your navigation skills in today's open class. Explore the fundamentals and real-world applications of #line_following robots: https://ow.ly/weYM50RWrEz What you will learn: - #OpenCV Fundamentals: Gain hands-on experience with OpenCV, a powerful library for computer vision tasks. - Integration with #ROS2: Learn how to integrate OpenCV with ROS2 to process images and control robot movements. - Practical Implementation: Receive step-by-step guidance on coding and setting up a line-following robot.

🚀 Excited to share my latest computer vision project leveraging OpenCV! 🖥️ I've delved into the fascinating realm of object tracking using advanced algorithms like CSRT, Meanshift, and Camshift. This project explores various scenarios, including: 🔍 Static camera with moving objects. 📹 Moving camera with static objects. 🏃♂️ Moving camera with moving objects. Through meticulous experimentation, I've honed in on the capabilities of each algorithm and their effectiveness in different scenarios. The implementation allows for seamless tracking and provides insightful results in real-time. Check out the demo videos showcasing the robustness of these algorithms in action! The project also offers the convenience of directly accessing output videos at your desired PC location, making it user-friendly and accessible for further analysis. sirihg001/Object-tracking: This project is about object tracking where I've used CSRT algorithm, one can directly get the output videos on their desired PC location. And I've also used Meanshift and camshift algorithms. Here I've experimented with different scenarios like Static camera with moving object, moving camera with static object and moving camera with moving object. (github.com) LinkedIn, let's connect and discuss the exciting possibilities at the intersection of computer vision and object tracking. I'm eager to hear your thoughts and insights! 🤝 #ComputerVision #ObjectTracking #OpenCV #CSRT #Meanshift #Camshift #MachineLearning #DataScience #TechInnovation #LinkedIn

🚀 Day 22 of the DSA A-Z Challenge: Today, I solved the problem of finding the second largest element in an array, both with and without sorting! Explored two approaches for finding the second largest element in an array: 1. Without Sorting : Traverse the array to find the largest element, then traverse again to find the second largest. 2. With Sorting: Sort the array using `Array.sort()` and pick the second last element. #DSAChallenge #Arrays #LearningJourney #ProgrammingSkills #Teamwork #Algorithms #DataStructures #Striver #TakeUForward #StriverAtoZ