Algo Vision

Bugun hammangizdan shunchaki support qilishningizni surab qolaman. Shogirdmiz MLSA’ga topshirmoqchi Shunchaki Link ka kirib. bir ikki bulimni uqib chiqing! O'tkazib yuborsizham mayli.

Turning Your Hands Into a Virtual Calculator: A Project in MediaPipe and OpenCV Ever dreamed of turning your hands into a calculator? I recently tackled this project using MediaPipe and OpenCV, and it's been a blast! I built a small virtual calculator that recognizes hand gestures. MediaPipe's hand tracking capabilities provided the foundation for detecting hand movements and positions. OpenCV, in turn, enabled me to visualize the hand tracking and overlay the virtual calculator interface. This project is just the beginning. I'm excited to explore integrating Ultralytics models with virtual elements into Qt Group widgets, creating a more interactive and intuitive user experience. Imagine, for example, controlling your music player with hand gestures, or editing photos using virtual tools! The possibilities are truly endless. What cool projects are you working on with gesture recognition technology? I'd love to hear your thoughts and connect with other developers!

Google researching buyicha dunyoda birinchi urinda turadi. Butun dunyodagi barcha AI lar google kutubxonalari asosida ishlaydi lekin oxirgi vaqtlarda Gemìni ning natijalari Google taqdim etilgan vediorolikdan ancha pastroq? Siz nima deb uylasz? Nega Google pozitsiyasini boy bermoqda.

Google Soli project. Promised but delivered.

Nano Model, Big Impact: Counting Cars with YOLOv8 🚗 Ever wondered how traffic flow is monitored in real-time? It's often done with sophisticated computer vision systems, and I've been experimenting with one of the latest and greatest: YOLOv8! This video shows how I'm using a small YOLOv8 model (specifically designed for efficiency) to identify and count vehicles in real-time. It's amazing to see how it picks out buses, cars. The best part? This nano model is surprisingly powerful. It's resource-efficient, fast, and easy to deploy. It's a fascinating journey exploring how we can use AI to make our roads smarter and safer! What do you think about using AI for traffic monitoring? I'd love to hear your thoughts and ideas! Grow your business with AI

C bir qator pastka tushdi. C++ bir qator yuqoriga

I've been experimenting with Ultralytics YOLOv8, OpenCV and achieving great results! 🚀 I'm particularly excited about its ability to detect small objects, which is crucial in real-world applications like autonomous driving and traffic monitoring. In this experiment, I used my YOLOv8 model to detect and estimate the distance of vehicles in a challenging scenario. 🛣 I'm still working on calibrating the distance measurements, but the results so far are promising. What you see: Accurate detection of various vehicles, including those that are small and distant. Distance estimates for each detected vehicle. Future improvements: Fine-tune the model further to enhance distance estimation accuracy. Explore different approaches for calibration and optimization. I'm looking forward to pushing the boundaries of object detection and distance estimation with YOLOv8. What are your experiences with YOLOv8?

Check out this real-time demo of YOLOv8 in action! 🤩 It's accurately detecting and tracking vehicles on the road, even calculating their speeds. 💨 Let me know what you think! 🚀