#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
A whale is facing potential liquidations of 488.45 $WBTC($26.47M) on #Compound, with a health rate as low as 1.07 and a liquidation price of $50,429.
This whale was liquidated 3 times during the 2022 price crash, with a total of 74,426 $cWBTC($32.82M) being liquidated.
Address:
0xceef57f6c40a7cb2392eaad101ee0440aa43ba42
Lookonchain | ꘜ
Whales are accumulating $LINK.
Whale 0x3c9E withdrew 510,000 $LINK($11.13M) from #Binance over the past 2 days and deposited it into #Compound.
0x42A1 spent $1.34M to buy 59,560 $LINK 4 hours ago.
0x848a spent $1M to buy 44,846 $LINK 5 hours ago.
https://intel.arkm.com/explorer/address/0x3c9Ea5C4Fec2A77E23Dd82539f4414266Fe8f757
https://intel.arkm.com/explorer/address/0x42A1Cf900c55EC4eBC885eB870A8E1d2E2FA1727
https://intel.arkm.com/explorer/address/0x848aA08a594a14664685e7bbB3a00E38Faba4F2f