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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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djangoproject

@djangoproject · Post #173 · 09/22/2016, 06:55 PM

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#signal — Set handlers for #asynchronous events This module provides mechanisms to use signal handlers in Python. The signal.signal() function allows to define custom handlers to be executed when a signal is received. A small number of default handlers are installed: #SIGPIPE is ignored (so write errors on pipes and sockets can be reported as ordinary Python exceptions) and #SIGINT is translated into a KeyboardInterrupt exception. #Asyncio https://docs.python.org/3.4/library/signal.html

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#signal #asynchronous #sigpipe #sigint #asyncio