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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 #235 · 01/18/2017, 05:27 PM

http://www.aparat.com/v/Cjarf Happy Asset Deployments With Webpack & Django by Scott Burns Webpack What is it? What does it do? Source transformations Output Why #Djangos collectstatic is not up to the job? Must run after #deployment Doesn't do all the things Slow Integration on both sides Webpack bundle tracker to output build stats Django #Webpack bundle loader to read those files How to render links in templates.