You Only Look Once: object detection with YOLOv4 | DIY drone pt. 3 скачать в хорошем качестве

You Only Look Once: object detection with YOLOv4 | DIY drone pt. 3

YOLO: ain't that from the 2010s? THINK AGAIN. Its all about forcing electrocuted sand to see what stuff is in photos and video, like cats and skateboards. Boring? Don't be so fast to judge! You can do some REALLY cool stuff with a bit of YOLO magic. Catch up with the rest of this series here: Part 1:    • My Raspberry Pi drone: the story so far   Part 2:    • Stereo depth mapping with OpenCV and Jetso...   Part 3: (this video) Part 4:    • Meet Stanley, my NVIDIA Jetson Nano drone ...   Part 5:    • Teaching my custom AI drone to track humans   In this video, I'm covering: What the heck is YOLO? History of YOLO Performance tests 00:00 - Intro 00:38 - The release of YOLO 01:26 - Inject more YOLO into my veins 01:55 - Into the multiverse 03:01 - Outdoor distance tests 04:59 - Inference speed on different hardware 05:49 - Speed up by scaling down 06:18 - Wrapping up 🌐 Links YOLO https://pjreddie.com/darknet/yolo/ YOLO vs R-CNN https://towardsdatascience.com/r-cnn-... Controversy over YOLOv5 https://blog.roboflow.com/yolov4-vers... Benchmarks   / yolov4-vs-yolov4-tiny     / yolo3-a-huge-improvement     / yolov4-the-most-accurate-real-time-neural-...   Timeline https://towardsdatascience.com/yolo-v... Repositories YOLO thru YOLOv3: https://github.com/pjreddie/darknet YOLOv4: https://github.com/AlexeyAB/darknet YOLOv5: https://github.com/ultralytics/yolov5 PP-YOLO (1 and 2): https://github.com/PaddlePaddle/Paddl... Scaled-YOLOv4: https://github.com/WongKinYiu/ScaledY... YOLOR: https://github.com/WongKinYiu/yolor ℹ️ Attributions 2080Ti Footage (JayzTwoCents)    • RTX 2080 and 2080Ti Benchmarked - Is it wo...   🎵 Music bezserca - purpose (   • bezserca - purpose  ) Vans in Japan - Deep State (   • Видео  ) Punch Deck - Rise (  / rise  ) 💡 Research Papers You Only Look Once: Unified, Real-Time Object Detection. Redmon, J. et al. 2016. https://arxiv.org/abs/1506.02640 YOLOv4: Optimal Speed and Accuracy of Object Detection. Bochkovskiy, A. et al. 2020. https://arxiv.org/abs/2004.10934 Scaled-YOLOv4: Scaling Cross Stage Partial Network. Wang, C-Y. et al. 2021 https://arxiv.org/abs/2011.08036 🧐 Social stuff Twitter:   / akamatchstic