Pedestrian Detection using OpenCV from Videos

hello on another pretty cool tutorial that I'm going to show with respect to open CV that is we are I'm going to plan to show to you that how to detect industry thank you so I have two use cases one is car detection in a particular video and British situation British steel detection from a particular video now what I'm going to do is that for this we need an another classifier which is called as our cascade full underscore full-body dot XML and this particular XML file you can you know definitely get it from this particular URL anyhow in my github I will be uploading this you can download it from there too now this full-body dot XML actually helps you to see it will try to find out the features and a person is trying to move the whole body it will be able to detect it so here I'm having and video which is called as walking dot a Evi if I if I just show you the video right now and then once I play this video what I should be able to do is that by using hard casket I'll be and using these features I will be able to detect the person walking in that particular video and we can draw a rectangular or a square or a rectangular box on the top of the person that the person is trying to walk right when the person is walking will draw a rectangle box to indicate that the person is moving so all the concepts are same we'll be using video capture we'll be uploading that to videos ok whichever path we do is actually present and gap is the variable that actually you know that has the context of the whole variable so I'm just going to put a condition which says file cap is open so unless until this cap video this gap variable is you know having that particular video I'm going to capture the frames by using cap dot rate and then I'm going to convert each and every frames into gray color you know converted need to pray because it really definitely need a time if I have all the frames in RGB formats so because of that I am converting into great then by using this body classifier that I had created this casket classifier from the features of har cascade from disco full-body dot XML what I am doing is that I am trying to detect the features frog from this particular gray image refrain basically so whenever I detect I'll be getting four coordinates at his X Y WH and from this bodies I will be actually getting I'll be drawing a rectangular rectangle shape by considering my x and y coordinates and my end coordinates will be by X plus W and y plus h and this is basically to determine some colors we will see what color the rectangle box will be displaying it and finally I am going to I am show that I am showing this particular beam and the frame and the frame name or the window name will basically be pedi streets so let us see how though I mean from this video how how this particular frames get out how does the rectangle gets created whenever the person are walking and here you can see clearly that it is detecting many faces many many persons who are walking we are able to get a lot of information from this so I hope you know this is a very good use case with respect to hard casket on this whole body so if you can integrate this code in any cameras in any IP cameras you should be able to detect the person I hope you like this video guys and if you are not sure if you're not subscribed to channel please do subscribe it and the my next tutorial will be coming with a use case where I can where I'll be able to detect cars in the particular videos I hope you like this videos keep learning have a great day thank you