#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
Since yesterday's announcement from #OKEx to resume withdrawals, we have seen an outflow of 29,300 $BTC from the exchange.
In the same time period 21,600 BTC have been deposited, reducing the exchange's balance to ~212k BTC.
@fibonaccisyndicate