#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
#DIA/USDT analysis :
#DIA is in an uptrend, forming higher highs (HHs) and higher lows (HLs). The price has retraced and tested the support zone, rebounding from that level. It is expected that the price will continue its bullish momentum from the current level and test the previous highs.
TF : 1W
Entry : $0.5230
Target : $1.2800
SL : $0.3480