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Source channel @githubtrending · Post #14963 · Jul 16

#jupyter_notebook SAM 2 is a powerful new AI model that can quickly and accurately separate objects in both images and videos, even if it has never seen them before. It works in real-time, allowing you to select objects with simple prompts like clicks or boxes and refine the results interactively. This makes tasks like video editing, object tracking, and image annotation much easier and faster. SAM 2’s ability to handle complex scenes and track objects smoothly across video frames helps improve creativity and productivity in many fields, from media production to computer vision research. It is open-source and easy to use with Python and PyTorch. https://github.com/facebookresearch/segment-anything

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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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