#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
#TLM/USDT analysis :
#TLM has successfully broken out and retested the previous swing high level. The price is expected to rebound from this point and test the previous highs again.
TF : 1W
Entry : $0.01480
Target : $0.02400/$0.03260
SL : $0.01067
#TLM/USDT analysis :
#TLM is on the upswing, creating higher highs (HHs) and higher lows (HLs) above the 200-period exponential moving average (200 EMA). Currently, the price is undergoing a corrective pullback. It's probable that it will test the support zone and then rebound from there to sustain its bullish momentum and aim to revisit previous highs.
TF : 1h
Entry : $0.01160
Target : $0.01209
SL : $0.01128
#TLM/USDT analysis :
#TLM is presently in an uptrend, forming higher highs (HHs) and higher lows (HLs). The price is currently trading above the support zone and is projected to rebound from there to sustain its bullish momentum and retest previous highs.
TF : 1h
Entry : $0.01093
Target : $0.01144
SL : $0.01056