djangoproject
@djangoproject · Post #391 · 07/25/2017, 08:24 PM
https://www.python.org/dev/peps/pep-0492/ #Coroutines with #async and #await syntax
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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 #160 · 09/12/2016, 05:43 PM
http://stackoverflow.com/questions/34052293/mixinig-async-context-manager-and-straight-await-in-asyncio #aenter #aexit #await #asyncio
djangoproject
@djangoproject · Post #517 · 12/08/2017, 05:27 AM
https://vorpus.org/blog/some-thoughts-on-asynchronous-api-design-in-a-post-asyncawait-world/#websocket-servers I've recently been exploring the exciting new world of #asynchronous I/O libraries in Python 3 – specifically asyncio and curio. These two libraries make some different design choices. Example 1: #asyncio, with callbacks Example 2: #curio, with #async/#await Example 3: asyncio, with async/await #websockets