#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
Lookonchain | ꘜ
An #Ethereum ICO participant who bought 100K $ETH(costing $31K) sold 4,283 $ETH($18.97M) again recently.
He has sold 44,284 $ETH($105M) at an average price of $2,378 since 2021, leaving 55,716 $ETH($261.6M).
The total profit is ~$366.8M, an 11,835x return!
https://etherscan.io/address/0x815c53bf36a3bc8b066715da459b365e6ce6c3ed
https://etherscan.io/address/0x2c06dd922b61514aafedd84488c0c28e6dcf0e99
Lookonchain | ꘜ
An #Ethereum ICO participant who received 20,000 $ETH( cost $6,200, now $86.6M) just sold another 2,300 $ETH($9.91M) 20 minutes ago, leaving him with 1,623 $ETH($6.99M).
https://x.com/lookonchain/status/1729788901756211328