#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
This is Probably the Best Video Downloader App (And it is Free and Open Source) | itsFOSS
VidBee allows you to download videos from YouTube, Facebook, X, Instagram, etc. In fact, it supports over 1,800 websites.
It is built on top of popular command line tools like yt-dlp and #ffmpeg. For the interface, it uses the Electron framework. I understand that some people dislike Electron framework as it runs a web browser underneath, but the 'advantage' of this framework is that you get the same interface in all the operating systems. At least, it's an advantage for the developers as they don't have to build the interface separately for #Linux, #Windows and #macOS.
The source code for VidBee is available on its GitHub repository.
#VidBee - Free Open Source Video Downloader
https://vidbee.org/