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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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Ethio-Djibouti Railway S.C.

@ethiodjiboutirailway · Post #1742 · 03/21/2024, 01:23 PM

Ethio-Djibouti Railway Prioritizes Flood Preparedness at Inaugural flood control Management Meeting March 21, 2024: The Lebu headquarters of the Ethio-Djibouti Railway took a proactive step today by hosting its first flood control management meeting. Led by CEO Dr. Abdi Zenebe, the conference focused on preparedness, prevention, mitigation, and rescue strategies in the event of flooding. Eng. Daniel Hailemichael, Chief Technical Officer, presented clear guidelines on flood management duties and responsibilities, including pre-during-and post-flood inspection procedures. Michael Tefera, Director of Infrastructure and Maintenance, followed with a comprehensive overview of current and future flood control infrastructure, including dams, levees, and channels, along with identifying flood-prone zones. This inaugural meeting, attended by senior management of EDR, marks a significant step towards a robust flood risk mitigation strategy. #FloodPreparedness#SafetyFirst#EthioDjiboutiRailway