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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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International Geographic

@internationalgeographic · Post #5770 · 06/23/2025, 03:30 PM

💎Radiacode 110 Has Landed 📲 Pre-Order is Open Now! Engineered for high-performance radiation detection, #RC110 features: ✅ 8.4% ±0.3% FWHM Energy Resolution ✅ CsI(Tl) Detector, ~3 cm³ volume ✅ 6 mm² Photomultiplier ✅ Sensitivity increase of nearly 150% over RC103 This means 1 μSv/h = 4500 CPM (vs. 1800 CPM on RC103). Precision. Power. Performance. Be the first who will get it: Radiacode.com #radiacode#radiacode110#techInnovation#tech#news#radiation#geigercounter