Goal : download google images from your notebook (locally, Colab, etc…) using python
TLDR: run the commands in bold here below
Some people are having trouble downloading google images using the javascript trick showed in Lesson2 (Part1) in the lesson2-download.ipynb notebook.
There is an easier way to download google images using the google-images-download python module in your jupyter notebook.
Here are the steps to download the different bears images
First install the python module. In a cell, enter the following command
!pip install google_images_download
Then in the subsequent cells, start downloadig the grizzly bears (-k grizzly argument below)
!googleimagesdownload -k grizzly -l 100
A new folder called downloads/grizzly will be created with 100 images in it (that’s the -l 100 argument n the command above)
Do the same thing for the other images
!googleimagesdownload -k ‘black bear’ -l 100
!googleimagesdownload -k ‘teddy bear’ -l 100
Run the ls command
!ls downloads/
and you should have the 3 following folders
‘black bear’ grizzly ‘teddy bear’
If you are using the lesson2-download, you can update your path like this (assuming you are using Colab)
classes = [‘grizzly’, ‘black bear’, ‘teddy bear’]
path = Path(’/content/downloads’)
path.ls()
The cell output should look like this
[PosixPath(’/content/downloads/grizzly’),
PosixPath(’/content/downloads/black bear’),
PosixPath(’/content/downloads/teddy bear’)]
From there, you can just continue executing the rest of the cells.
If you want to keep the original folder names (used in lesson2-download.ipynb) you can rename the new folder names listed here above to match those of lesson2-download.ipynb notebook.
Have fun creating your own classifier!