How to train your own object detection models using the TensorFlow Object Detection API (2020 Update)
This started as a summary of this nice tutorial, but has since then become its own thing.
This started as a summary of this nice tutorial, but has since then become its own thing.
Automated analysis is the main advantage to working with a modern statically typed compiled language like C++. Code analysis tools can inform us when we have implemented an operator overload with a non-canonical form, when we should have made a method const, or when the scope of a variable can be reduced.
Grab ffmpeg from https://www.ffmpeg.org/download.html
It's a command line tool which means you will have to type things with your keyboard instead of clicking on buttons.
The most trivial operation would be converting gifs:
ffmpeg -i your_gif.gif -c:v libvpx -crf 12 -b:v 500K output.webm
-crf
values can go from 4 to 63. Lower values mean better quality.-b:v
is the maximum allowed bitrate. Higher means better quality.