#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
#OXT/USDT analysis :
#OXT has broken out and retested a previously respected support zone. Price is expected to bounce back from this level and test previous highs. This indicates a potential continuation of the bullish trend, as the retest confirms the strength of the support.
TF : 1D
Entry : $0.1070
Target : $0.1570
SL : $0.0857
#OXT finally broken up the trading range on 8H Time frame,we will have good pump again after a pullback,let's see what will happen 💫
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️
#OXT result
2 nd target achieved in just 3 days ✅✅
One more huge quick profit 15%🤑💰🤑
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#OXT has good bullish momentum on Weekly time frame,we are waiting for a pullback and rebuy,buy dip
📈
❄️@signals_bitcoin_crypto❄️
❄️@Shadow_support0o❄️