From desperate moms to sparkling MILFs, this place is packed with fresh XXX niche content. There are tons of great-looking stream movie galleries on our mature tube, and new stuff is always coming! Here the complete code of the Now if you hit Facebox you not only are going to stream the content (with some lag) to the browser, you are going to recognise the people appearing on the video, if you did Facebox teaching before.
The course is based on a highly successful Kickstarter.
The Kickstarter is over, but you can still order the course at Python for Engineers. Also, post links to your videos below to get direct feedback from me. Oh—and next time we’ll be tackling some motion detection.
We aren’t at the stage where Robocop driving his motorcycle at 100 mph can track criminals using low quality CCTV cameras… The code searches for the face frame by frame, so it will take a fair amount of processing power.
For example, on my five year old laptop, it took almost 90% of the CPU. But what if you want to detect your own object, like your car or your TV or your favorite toy?
From intrusion detection, to open a gate if you automatic recognise the person that is in front of the gate, with some lines of Python, Go, and Facebox you can do it in a few lines of code.
First we are going to capture the stream from a webcam.
Easily enough, in Python we can use Open CV to stream from the webcam a Motion JPEG over the standard output.
Motion JPEG (M-JPEG) sounds really cool and fancy, but the reality is just a concatenation of all the frames as JPEG using a separator (a boundary) that you can choose. basically is like a CSV for video, is very simple, at the cost of being heavy, because is not using video compression.
There are multiple options in Go to do that, but many of them requires the use of , and the support is quite limited, and sometimes cumbersome.