#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
🇵🇱#Polonia — il #Sejm, la Camera dei deputati polacca, respinge la questione di fiducia del terzo governo #Morawiecki con 190 voti favorevoli e 266 voti contrari. Terminano così gli otto anni di governo del #PiS.
@UltimoraPolitics
#Polonia#Sejm
Con 265 voti favorevoli e 193 contrari, Szymon #Hołownia (#TD/#Polska2050|RE) è stato eletto nuovo Presidente del Sejm (Camera bassa).
@OsservatorioEsteri