#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
#ROSE/USDT analysis :
#ROSE is in an uptrend, forming higher highs and higher lows above the 200ema. The price is expected to sustain its bullish momentum and test new highs. Wait for a price retracement over the support zone for a long entry.
TF : 2h
Entry : $0.0606
Target : $0.0696
SL : $0.0561
#ROSE +%33 in just 5 days 🤑🤑
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