#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
#ELF/USDT analysis :
#ELF is currently in an uptrend, forming higher highs (HHs) and higher lows (HLs). Following an impulsive move, the price has retraced to the 200 EMA and a key support zone. It is anticipated that the price will rebound from this level and resume its bullish momentum, aiming to test the previous swing high.
TF : 1D
Entry : $0.4500
Target : $0.8400
SL : $0.3550
#ELF/USDT analysis :
#ELF is currently consolidating above the previously respected support zone. The price is expected to bounce back from this level and continue its bullish rally, potentially testing previous highs.
TF : 1W
Entry : $0.4124
Target : $0.7853
SL : $0.3060