#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
#RIF/USDT analysis :
Following a significant decline of -83% from its all-time high, the price has found support at the $0.0600 level. Subsequently, it has bounced back and successfully broken above the trendline, indicating a confirmation of anticipated bullish momentum. It is expected that the price will continue this upward trajectory and test the previous swing high.
TF : 1W
Entry : $0.1117
Target : $0.3377
SL : $0.0766
#RIF/USDT analysis :
#RIF is trading above the support zone and the 200 EMA. The price is anticipated to rebound from this level and proceed to rise, testing the previous swing high.
TF : 15min
Entry : $0.0977
Target : $0.1007
SL : $0.0956
#RIF yielded an impressive 3,010% return in a few days ⭐
If you used 200x leverage on this signal, you would've made a mind-blowing profit of 12,040%🤩
$50💰 would return $750💵
$50 💰 would return $1,500
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$50💰 would return $6,000💰
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#RIF
I'm expecting roughly this kind of movement on this asset, either with streaming start ups behind our magnets from above.
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