A curious examination of the visual past with the computational tools of the present
Version 1.0.0
Created by Graham Waters
This project is a collection of images of the same place at different times. The images are taken from google images and currently are not filtered for their historical accuracy or quality. In further implementations this will be remedied. It uses requests and google images to show how a query visually changes given a time parameter when searching google images.
We welcome all contributions to this project as it is an evolving tool. as we move towards releasing our first release we are looking to maintain black formatting and abide by flake8 as well. to contribute please fork this repository and clone it to your machine so that you can make your changes and then submit a pull request for us to review.
if you have any great ideas about how this project could be changed feel free to submit them as an issue.
The program prompts the user to give several inputs:
What are you looking for? you type: London, England
from what year at the earliest? you type: 1920
to what year at the latest? you type: 1980
How many images do you want? (80 is limit per page) you type: 20
what MUST be included in the search? you type: England
what would you like to leave out of the search? you type: (blank)
retrieving 60 years worth of photos related to London, England`
dataline:London, England "in the year (years go here) "" England "-
this is 1200 images in 60 folders.
Then you should see something like this:
"London, England" in "the year 1974" "England" imagesize:500x500
searching...
Downloading 20 images...
Running total of collected images:40
52%|████████▋ | 31/60 [01:09<00:04, 1.05it/s]- Clone the repo
- Install the requirements
- Run
python3 howitschanged.py - The user inputs a query
- The program uses the
requestslibrary to get the html of the google images page, and usesBeautifulSoupto parse the html.