#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
#SKL/USDT analysis :
#SKL is currently facing rejection at the resistance zone. The price is expected to decline from this point and continue to decrease, testing the support levels. Previous lows are likely to be tested. Wait for pullback for short entry.
TF : 4h
Entry : $0.04237
Target : $0.03509
SL : $0.04648
#SKL/USDT analysis :
#SKL has been rejected from the high time frame (HTF) resistance zone and has broken the support level. This indicates that the price is likely to continue declining further and test the previous swing low.
TF : 15min
Entry : $0.03413
Target : $0.03211
SL : $0.03541