Best way to chop images in smaller chunks

Part 1 (2018) Beginner (2018)
1

Hi I want to train a classifier to tell if there is a certain weed in a photo of a patch of grass. I started by trying to tag the weeds as if I was training an object detector but this may be too complicated for my project. Instead if I could break a large photo of the grass into a grid of smaller photos I could just say if the square has a weed or not. Let’s say for example the grid would be 8 by 8 resulting in 64 images I can then hand label . Which direction should I go down to achieve this? Can I batch process a whole folder of images. I have very little coding experience, this is a learning experience.

Many thanks
Gavin

2

You could do this with open cv or similar in python, but I find myself falling back on the command line, often enough. Here is guidance for how you can approach the task using imagemagick on the command line http://www.imagemagick.org/Usage/crop/

3

Many thanks, will read this over tonight and see what I can manage.

4

note to self : ‘convert lenna[0-15].gif -crop 2x2@ +repage +adjoin lenna%d.gif’