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Source channel @githubtrending · Post #14949 · Jul 12

#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7 YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments. https://github.com/WongKinYiu/yolov7

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“OʻzTMK” AJ | Rasmiy kanal

@uztmk_official · Post #2968 · 10/04/2025, 04:22 AM

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#Metall_fact #NISAR 🛰 2025-yil 30-iyulda NISAR (NASA-ISRO Synthetic Aperture Radar) sun’iy yo‘ldoshi sayyoramizning yuragini “eshitish” uchun ishga tushirildi. NISAR muzliklarning siljishini, o‘rmonlarning yo‘qolishini, yerosti suvlarining o‘zgarishini va hatto zilzilalarning tayanch harakatlarini millimetrgacha aniq o‘lchay oladi. 💠 Uning sintetik aperturali radar tizimlari va antennalari niobiy, tantal, volfram, titan, kobalt kabi kritik minerallar bilan ishlaydi. Aynan shu elementlar og‘ir kosmik yuklamalarga bardosh beruvchi yengil va chidamli konstruksiyalarni yaratadi, yuqori chastotali signal uzatish imkonini beradi va kosmos sharoitida ishonchli ishlashni ta’minlaydi. 🫥🫥🫥 ✅TMK matbuot xizmati 🌐Web-site|🔵Facebook |📷Instagram| 🎰LinkedIn|🎬Youtube|🚀Telegram

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Modder Hub

@Modder_Hub · Post #1221 · 08/17/2025, 07:21 PM

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Fifteen days after the launch of the #NISAR satellite, the antenna reflector has finally been deployed. Congratulations to 🇺🇲#NASA and 🇮🇳#ISRO ! 🎉 After this successful deployment, we can look forward to receiving incredible, high-resolution images of Earth in the coming weeks. These images will support a wide range of scientific studies , including climate monitoring, natural disaster assessment, and environmental research.

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