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DINOv2 is a powerful AI model from Meta AI that learns to understand images without needing labeled data, using self-supervised learning. It was trained on 142 million images and creates strong visual features that work well for many tasks like image classification, depth estimation, and segmentation without extra fine-tuning. You can use its pretrained models easily with simple classifiers, saving time and effort. DINOv2 is efficient, scalable, and performs better than many other models, making it great for building versatile computer vision applications quickly and accurately. It’s open-source and ready to use with PyTorch.
https://github.com/facebookresearch/dinov2
Каскадерский трюк показал водитель автомобиля #Range#Rover на ул. Стеценко.
По предварительным данным, водитель двигался по ул. Стеценко, в какой-то момент потерял управление над своим железным конём и вылетел на тротуар, после чего влетел в трамплин из снега и въехал в воздухе в бигборд. К счастью никто в этом ДТП не пострадал. Водитель утверждает, что ехал с разрешённой скоростью
🌎 In 2014, NASA’s Mars rover Curiosity recorded unusual low-frequency sounds on the Red Planet. These noises, called "pressure fluctuations," are caused by Martian winds interacting with the planet’s thin atmosphere and ground. Scientists detected these signals using a special instrument known as REMS, and the data helps track daily weather changes on Mars. ✨
#Mars⚡#soundspace⚡#rover
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#cplusplus#arducopter#ardupilot#arduplane#ardurover#ardusub#autopilot#auv#copter#drone#dronekit#mavlink#plane#robotics#ros#rov#rover#sub#uas#uav#ugv
ArduPilot is a powerful and open-source autopilot system that can control many types of vehicles, including drones, planes, helicopters, and even submarines. It offers features like autonomous flight modes, programmable missions, and support for various sensors and communication systems. This system is highly reliable and customizable, making it beneficial for users who need advanced control over their vehicles. It also has a strong community and extensive documentation, which helps users learn and improve their projects.
https://github.com/ArduPilot/ardupilot