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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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Addis Standard

@addisstandardeng · Post #21208 · 01/27/2026, 01:35 PM

#Afar: Delivering lifesaving nutrition across one of #Ethiopia’s harshest landscapes Once you leave the city of #Semera behind, the Ethiopian landscape quickly opens into vast stretches of dry earth that seem to run endlessly toward the horizon. Sparse green bushes dot the dusty ground, framed by distant mountains and volcanoes that define the Afari landscape. As our vehicles drive toward the town of Magenta to deliver nutrition to children through Doctors Without Borders/Médecins Sans Frontières (#MSF) outreach activities, a river runs alongside the road. One of the main challenges faced by local communities is right in front of our eyes: water. Afar, crossed by the Danakil Depression marking the northern end of the East African Rift Valley, is considered one of the hottest inhabited places on Earth. Water availability and quality in the region are strongly influenced by its..... https://www.facebook.com/AddisstandardEng/posts/pfbid02eyGnawFb7VhMHg63k8WpiMijY9FpwCawUmrdsKrtzRv4KyRYPzEBTN3ngQUxCZpEl