#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
🛰️ Flags of the #Kaliningrad Region and the City of Zelenogradsk are back from #ISS🌍 to be later exhibited in #Kaliningrad Regional Museum of History and Arts.
📸 by the Museum
🚀🌍Le commandant de l'ISS et envoyé spécial de TASS à bord, Sergueï Koud-Svertchkov, a montré des images du vaisseau spatial Crew Dragon approchant de la station.
#iss#espace
LIVE: Farewells, hatch closing for Soyuz MS-18 crew on ISS
Farewells and hatch closing for the Soyuz MS-18 crew on the International Space Station.
#Reuters#Live#News#Space#ISS
➖@reutersworldchannel➖
🇷🇺🛰️ Le vaisseau cargo Progress MS‑32 s’est désamarré du module Zvezda du segment russe de la Station spatiale internationale (ISS) avant l’arrivée d’un nouveau cargo, montre la retransmission de Roscosmos.
#russie#vaisseau#iss