#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
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#FLUX/USDT analysis :
#FLUX is currently in a downtrend, forming lower lows (LLs) and lower highs (LHs) below the 200 EMA. The price is rejecting from the resistance zone and is expected to decline further, maintaining its bearish momentum and potentially testing lower levels. Wait for pullback for short entry.
TF : 4h
Entry : $0.5124
Target : $0.4521
SL : $0.5531
#FLUX/USDT analysis :
#FLUX has recently rebounded from the support zone. It is anticipated to keep rising and test the resistance zone on the lower time frame (LTF).
TF : 1h
Entry : $0.5469
Target : $0.5847
SL : $0.5207