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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 #1360 · 01/25/2024, 05:06 AM

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Congratulations to the fourteen train driver trainees who have successfully completed their training! January 24, 2024(EDR); During their one year training period, the trainees have successfully finished their theoretical and practical training. That provided by the Ethiopian-Djibouti Railway Capacity Building program’s fourth round. Today, they took their Ministry of Transport and Logistics qualification exam, and now one step closer to obtaining their licenses and starting their careers as train drivers. We are incredibly proud of their hard work and commitment, and we wish them all the best in their future endeavors! #EthiopiaDjiboutiRailway#EthiopiajiboutiRailwayfamily#CapacityBuilding #TrainDriverTraining#Congratulations

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