#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
#FUN/USDT analysis :
#FUN has established a breakout from its trendline after rebounding from the support zone. The price is anticipated to continue rising from its current level and is likely to test the previous swing high.
TF : 4H
Entry : $0.003263
Target : $0.003644
SL : $0.003008
#FUN/USDT analysis :
#FUN is currently consolidating within a resistance zone near the 200 EMA. A price rejection is expected from there, and a continuation of the downtrend is anticipated. Wait for the price to break below the trendline for a short entry.
TF : 2H
Entry : $0.00314
Target : $0.00287
SL : $0.00326