#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
#RUNE/USDT analysis :
#RUNE has retested the resistance zone following a bullish impulsive move. The price is anticipated to bounce from the current level and test higher levels.
TF : 1W
Entry : $2.190
Target : $7.566
SL : $1.314
#RUNE/USDT analysis :
#RUNE has recently broken out of the 200 EMA with strong bullish momentum. The price is currently showing bullish price action. It is expected to rise higher. Before that, the price is expected to pull back and then rise higher. Wait for the price to test the support zone for a long entry.
TF : 2H
Entry : $3.813
Target : $4.233
SL : $3.603
#rune scalping opportunity 🧐
After the big dump, the previously formed liqudation void was closed. From here, it would either turn or dump would continue.
When we look at the short time frame, we see that it can start the rise by forming a failure swing.