Computer vision for lazy bones

So you don’t have a cool GPU and the amount of data you have is small…

A quick way would be to use data augmentation techniques and heck why not try that nifty trick of one shot learning right.

There is an alternative of using cloud computing platforms like Google cloud platform, Google Colab etc but you still faced with “data” issues;

data being in the sense of internet connection and amount of images you have.

As much as there is now free content online and cutting edge techniques, let always try to take a moment, breathe and look for a lazy way out. lol

Recently Tariro a pupil from the Harare School of AI had an interesting problem of trying to classify bees “reason is too silly to mention”.

We got out lazy on and we thought why not take advantage of Open CV and try to tackle the problem.

Some useful out of the box features from Open CV

• Template matching (which we used)
• Object detection
• Image processing
• Camera Calibration and 3D Reconstruction

There a lot of cool features you can get done with just using Open CV that saves time and resources and the best part is little to no training will be required.