#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
#FTM/USDT analysis :
#FTM is currently in a bullish trend, characterized by higher highs and higher lows, with consistent support along the trendline. The price is expected to rebound from its current level and test previous highs. A breakout above the $0.8800 level would present an optimal entry point for further upward movement.
TF : 1D
Entry : $0.8800
Target : $1.4000
SL : $0.6550
#FTM/USDT analysis :
#FTM is currently consolidating sideways within the support and resistance zone. The price is bouncing back from the support zone and is anticipated to sustain its momentum and test the previous swing high within the resistance zone.
TF : 30min
Entry : $0.4193
Target : $0.4314
SL : $0.4127
#FTM +%70 🤑🤑
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