#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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#Ethiopia: Religious councils, OLA condemn killing of civilians in #East_Arsi, call for swift accountability
The Permanent Synod of the Ethiopian #Orthodox Tewahedo Church, the #Inter-Religious Council of Ethiopia, and the Ethiopian #Islamic Affairs Supreme Council have issued separate statements condemning the killing of 21 civilians in #Shirka Woreda, East Arsi Zone of #Oromia Region, urging authorities to take immediate action to bring perpetrators to justice and strengthen protection for residents.
In their respective statements, the religious institutions denounced the attack and called for swift, transparent investigations, warning against attempts to exploit the incident to incite further violence.
The Oromo Liberation Army (#OLA), for its part, accused what it described as “mercenaries” of moving through Arsi Zone and deliberately targeting Orthodox Christian civilians in an effort to inflame inter-religious and inter-ethnic tensions........
Read more: https://addisstandard.com/?p=55518