#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
#MLN/USDT analysis :
#MLN is currently in a downtrend, characterized by a series of lower lows (LLs) and lower highs (LHs). The price is presently trading within a resistance zone, where it is anticipated to encounter resistance. As a result, a decline is expected from this level, with the price likely to test lower levels in the near future.
TF : 4H
Entry : $18.60
Target : $16.37
SL : $19.75