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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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Architectural Shovel / Любовь Дмитриева

@arch_shovel · Post #1039 · 07/29/2025, 03:28 PM

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A multidisciplinary team of XISUI Design has created a 3D concrete-printed playground in Shandong Province, China. Named Boulder Park, a 13,000-square-metre community park in Ji’nan, combines massive boulders - a natural material symbolizing eternity - as the core design element. These boulders complement the park’s experiential and practical offerings. Stones in the shallow creek can be incorporated into the water play installation, and boulders set over a sandpit can be used as climbing and resting play structures. Additionally, cutting-edge 3D-printed concrete technology is used to build a huge rock cave adventure area. Images 1-2-3-4-5 📸 Zhou Sheng. Image 6 📸 Hu Yihao. #design#playgrounddesign#park#urban#3dprinting#3dprintingconcrete#china

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