(python+opencv) haar cascade training using cloud computing
I created a google cloud platform compute engine. It gives you the option to choose the number of CPUs and ram size to choose from. So I experimented with a couple of combinations.


4 CPU 26gb ram - after starting the training I realised it used only ~7 GB of ram with all 4 CPUs running at 100%
8 CPU ~25gb ram - used around 9gb ram
24 CPU ~35gb ram. - used around 9gb ram.


All three instances ran at 100% CPU usage. With the increase in the CPU count, the faster the output files were generated.