You Only Look Once: object detection with YOLOv4 | DIY drone pt. 3
Channel: aka: Matchstic
Date: 04/10/2021

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: https://www.youtube.com/watch?v=ZCOlT_sz6Gs
Part 2: https://www.youtube.com/watch?v=_fH4SPhKpPM
Part 3: (this video)
Part 4: https://www.youtube.com/watch?v=o3eywsXBpwA
Part 5: https://www.youtube.com/watch?v=Zq_2_BEfU_s

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-fast-r-cnn-faster-r-cnn-yolo-object-detection-algorithms-36d53571365e

Controversy over YOLOv5
https://blog.roboflow.com/yolov4-versus-yolov5/

Benchmarks
https://medium.com/analytics-vidhya/yolov4-vs-yolov4-tiny-97932b6ec8ec
https://medium.com/@anand_sonawane/yolo3-a-huge-improvement-2bc4e6fc44c5
https://alexeyab84.medium.com/yolov4-the-most-accurate-real-time-neural-network-on-ms-coco-dataset-73adfd3602fe

Timeline
https://towardsdatascience.com/yolo-v4-or-yolo-v5-or-pp-yolo-dad8e40f7109

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/PaddleDetection
Scaled-YOLOv4: https://github.com/WongKinYiu/ScaledYOLOv4
YOLOR: https://github.com/WongKinYiu/yolor

ℹ️ Attributions

2080Ti Footage (JayzTwoCents)
https://www.youtube.com/watch?v=WDrpsv0QIR0

🎵 Music

bezserca - purpose (https://www.youtube.com/watch?v=I8lYrw60nOM)
Vans in Japan - Deep State (https://www.youtube.com/watch?v=1mmsPXWGKuk)
Punch Deck - Rise (https://soundcloud.com/punch-deck/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: https://twitter.com/akamatchstic