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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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Genshin Null

@GenshinNull · Post #5557 · 10/08/2023, 08:39 PM

(1/2) @GenshinNull#kumadayo#P [4.2 beta] 版本活动页面展示 00:03 「特尔克西的奇幻历险」(Thelxie’s Fantastic Adventures)[1] 00:08 「图形对抗实验录」(Counter-Criminal Image Recognition Experiment Log)[2] 00:15 「小小灵蕈大幻戏」(Lil’ Fungi’s Fun-Tastic Fiesta)[3] 00:22 「迷城战线 · 水境篇」(Misty Dungeon: Realm of Water)[4]

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Genshin Null

@GenshinNull · Post #5558 · 10/08/2023, 08:39 PM

(1/2) @GenshinNull#himo_sino#kumadayo#P [4.2 beta] 原始胎海 该区域具有一处观景点[1], 完整地名为「某微观宇宙的肇始」(Genesis of a Certain Micro-Universe)[2]. 该区域位于自体自身之塔 / 卡布狄斯堡遗迹[3]地下.