Why so serious? Using GCP for realtime video context analyzation

Look into real-time video processing and how you might do this on Google Cloud

Transcript

2. me@johanndutoit.net email website @signedness
3. Technical Lead for Cloud
4. Developer Expert (first in Africa) https://developers.google.com/experts/people/johann-du-toit
5. Certified Architect + Data Engineer
6. Mentor since 2016
8. THIS TALK Realtime processing on video Further processing using Vision API Training a custom model on Google Cloud
9. THIS TALK Realtime processing on video Further processing using Vision API Training a custom model on Google Cloud
11. 14 cameras per metro station on your way out
18. gocv.VideoCaptureDevice(0)
19. gocv.VideoCaptureFile(“a.mp4”)
20. gocv.IMRead(“test.png”)
21. for { webcam.Read(&img) window.IMShow(img) window.WaitKey(1) }
22. for { webcam.Read(&img) window.IMShow(img) window.WaitKey(1) }
23. gocv.NewWindow("Raw Video Source")
24. gocv.NewWindow("Raw Video Source") gocv.NewWindow("Raw Video Source")
26. for { webcam.Read(&img) // identify cars window.IMShow(img) window.WaitKey(1) }
30. 30 frames per second
31. 1000ms
32. 33ms
34. ~20ms
38. 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10m 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10m 10ms 10ms 10m 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10ms 10m 10m 10ms 10ms 10ms 10ms
43. HAAR Cascades
44. HAAR Wavelets
49. ~20ms
51. frameNumber % 1 == 0
52. frameNumber % 2 == 0
53. frameNumber % 3 == 0
55. THE AGENDA Realtime processing on video Further processing using Vision API Training a custom model on Google Cloud
59. 2 Events
62. ImageNet (14 million images)
63. > day on
64. < 6 minutes
81. THE AGENDA Realtime processing on video Vision API Training a custom model on Google Cloud
98. FIN
99. FINN