TestFlightX
@TestFlightX · Post #34682 · 2024. 11. 21. PM 02:47
#D#ROS https://testflight.apple.com/join/cFKaKfro
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🚀 API Shop - API Xizmatlaringiz Uchun Eng Yaxshi Tanlov! 🌟 📲 Bizda Mavjud Xizmatlar: 1️⃣ Ijtimoiy Tarmoqlardan Media Yuklab Olish: Instagram, TikTok, Facebook, Twitter va boshqa ijtimoiy tarmoqlardan media va rasm yuklab oling. 📸🎥 2️⃣🎙 TTS (Text-to-Speech) API: Matnni ovozga aylantiring, har qanday til va ovoz variantlari bilan. Oson va tez! 🗣💬 3️⃣🎵 Shazam API: Musiqa tanish, qo'shiqlarni aniqlash va har qanday audio faylni tanib olish imkoniyati. 🎶🔍 4️⃣📁 Photolab API: Tasvirlaringizni ajoyib effektlar bilan bezang! Eng yaxshi tasvir tahrirlash API xizmati sizni kutmoqda. 🌟📸 🤖 Barcha xizmatlarimizni Telegram botimiz orqali ham ko'rishingiz mumkin:@Apishopbot 🔗 Bizning xizmatlarimizdan foydalaning va imkoniyatlardan maksimal darajada foydalaning! 🚀 🌐 Bot:@Apishopbot 📩 Bog'lanish:@bizbotsupport #API#Xizmatlar#TTS#Shazam#Fotomuhandislik#Innovatsiya
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GitHub Trends
@githubtrending · Post #15616 · 2026. 04. 15. PM 12:00
#cplusplus#hap#mid_360#ros#ros2 Livox ROS Driver 2 connects your Livox LiDARs like HAP and Mid360 to ROS (Noetic) or ROS2 (Foxy/Humble/Jazzy) on matching Ubuntu versions. Clone the repo in a workspace/src folder, build Livox-SDK2, then run ./build.sh with your ROS version, and launch with roslaunch or ros2 launch files from launch_ROS1/ROS2 folders—edit JSON configs for IP, ports, frequency (up to 100Hz), and formats. This lets you quickly test and visualize point clouds in RViz for robotics development, saving time on setup and debugging. https://github.com/Livox-SDK/livox_ros_driver2
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@githubtrending · Post #14795 · 2025. 06. 05. PM 02:30
#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