Video Data Processing with Python and OpenCV

In this video tutorial you will learn how to work with video data in python and openCV. Video processing and data analysis has many applications in machine learning, including object detection, pose estimation, and object tracking. Before you can run machine learning on videos you first need a good understanding of how to read and write video files using python and openCV. This tutorial walks through the basics, step by step, with some examples.

Timeline:
00:00 Video Data & Python
01:08 What is Video Data?
04:08 Getting Setup
06:19 Converting Videos
08:23 Displaying Video
09:13 Video Metadata
11:32 Pulling Images
17:31 Add Annotations
25:48 Saving processed video
31:33 Summary

My other videos:

#python #computervision #datascience

[linuxmill]

it was beautiful watching a quaestion get so quickly converted quantitaive analysis that is easily visualized.

[DataCraftsman]

Love your work as always. You should do a follow up video on using a neural network to do the labeling. I imagine it would just be some sort of CNN that outputs the coordinates for the box using the bounding pixels of the detected shapes.

[VauRDeC]

This video saved my week-end ! Thank you so much for it !

[LeoSo]

Thank you for the tutorial! I'm interested in processing and analyzing sport video using Python. Google brought me here. I like the presentation in kaggle. Keep up your good work. I will check out all your videos!

[vaijrb]

Very well done! Thank you for making this video.

[ltpxftp]

Thank you! You explained very clearly on the code and how you did it. ❤

[CarolinaMunoz-vyni]

I haven't watched it but I already like it

[vivekpadman]

This is absolutely a great tutorial for beginners. Learnt a lot and the way you explain is soo perfect. I'd definitely share it with my friends.
Can you if possible make video on complete kaggle project walk through and how you approach the problem?

[wooprime]

Ooooh, this appeared on my Youtube front page, are you gonna finally pop off?

[ThanhHa-zolp]

Great work. Nice perform. Many thankss for sharing!

[vijayalaxmiise]

Thank you so much sir. It would be great help if you release some videos on Action Recognition, Detection, Classification in video

[pleasedont]

Me too on my first page man, good luck

[nkrumahminsinga]

Thank you for this exercise, it was very helpful but please how am i supposed to do if i don't have labels datasets or how can i buid it? thank you

[AbtihalAlomairi]

That's a great video! Thank you. But, step five ( Total number of frames in video) whenever am trying to run the code I got an error saying that module 'cv2' has no attribute 'cv2'. Although, I've download all the datasets

[scullyy]

This seems like what I need to get rid of flickering in my video! First I'd need to automate detecting a completely black frame (responsible for the flickering) and then copy paste the nearest valid frame (one that isn't black) onto the black frame. Wish me luck :)

[MrEck]

Hey thanks for the very insightful video, if I wanted to train a model with video data, do you have any recommendations on the simplest way to generate the csv file of labels and data for the segmented objects we want to annotate?

[andrewl.]

Legend has it he's still getting to the fun part. (alright and now to the fun part....3 min later....alright and now to the fun part) jokes. awesome video

[nisheethsrivastava]

Hi Rob
I am New to the video processing and the video is very helpful. I wondering that how did you get the csv file for video so that category of the images could be built. I need to use this method to create the labels. I am using Wowza streaming server to stream the video to the analytics application where i have to capture the stream & read the stream. I am stuck at category of objects. please let me know how it can be used

[ghadadodo]

Could you give us the link of the video sir?
And thanks for this video ✅

[Az-jtzp]

So did someone go in manually and identify the labels and draw the frames?