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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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@rocchl · Post #8525 · 01/10/2026, 02:06 AM

宜家推出 Klippbok 水浸传感器:兼容 Matter 协议,内置蜂鸣器 宜家现已在美国、欧盟和英国市场推出 Klippbok 水浸传感器,支持新一代 Matter 协议,可兼容多家智能家居生态,打破生态壁垒。 同时,这款传感器还支持 Matter 协议, 可以与 Google Home、Apple HomeKit 等智能家居生态协同工作 ,需要一节 7 号电池才能工作,体积为 17*70*40mm。 此外,这款传感器已在海外的宜家线下门店开售,售价 7 英镑 标签:#宜家#klippbok#matter Created by RocM 官方频道:@rocCHL 官方群组:@roctech 官方合作:@rocmmbot