#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
#ZEN/USDT analysis :
#ZEN is in an uptrend, forming higher highs (HHs) and higher lows (HLs) above the 200 EMA. The price is currently in a correction phase, showing a retracement to test the 200 EMA. It is advisable to wait for the price to test this zone for a long entry, as it is expected to rebound and resume its bullish momentum.
TF : 1D
Entry : $17.66
Target : $40.00
SL : $11.90