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23
README.md
23
README.md
@ -6,11 +6,34 @@ Fun proof of concept to generate random wildlife bingo cards for safaris with da
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</p>
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# Usage
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Once the requirements are satisfied you can generate a card. By default it generates a 4x4 grid with 16 images:
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```console
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$ ./generate.py -i data/animals.csv -o out.jpg
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[INFO] Generated random sample of 32 animals...
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[INFO] > Creating thumbnail for Helmeted guineafowl...
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[INFO] Generated card with a 4x4 grid of animals...
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[INFO] Wrote out.jpg
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```
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The script will download the images from Wikipedia, generate thumbnails for the sampled animals, and output a bingo card as a JPEG file.
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# Requirements
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Set up a Python 3.11+ virtual environment and install the requirements:
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```console
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$ python3 -m .venv
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$ source .venv/bin/activate
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$ pip install -r requirements.lock
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```
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# TODO
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- Credit photographers — these photos are all some variation of CC-BY so we need to give attribution
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- Add filtering by region — the metadata already exists, though perhaps needs to be adjusted
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- Refactor — perhaps needs to be more object oriented
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- Make a web frontend — I can imagine a light frontend that would shuffle the images in realtime and allow generation of a number of cards
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# License
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This work is licensed under the [GPLv3](https://www.gnu.org/licenses/gpl-3.0.en.html).
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@ -155,8 +155,8 @@ if __name__ == "__main__":
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# Get a random list of animal IDs. We will build a square grid using the
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# "across" parameter passed by the user.
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logger.info(f"Generating random sample of {animals_df.shape[0]} animals...")
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animal_ids = animals_df["id"].sample(args.across * args.across)
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logger.info(f"Generated random sample of {animals_df.shape[0]} animals...")
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# Slice those random animals from the dataframe
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animals_df_random = animals_df[animals_df["id"].isin(animal_ids)]
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@ -174,6 +174,7 @@ if __name__ == "__main__":
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# Join all thumbnails together in an array of x across with a padding of 2
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# pixels between each square.
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joined = pyvips.Image.arrayjoin(thumbnails, across=args.across, shim=2)
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logger.info(f"Generated card with a {args.across}x{args.across} grid of animals...")
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joined.jpegsave(args.output_file, optimize_coding=True, strip=True)
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logger.info(f"Wrote {args.output_file}")
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85
requirements-dev.lock
Normal file
85
requirements-dev.lock
Normal file
@ -0,0 +1,85 @@
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# generated by rye
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# use `rye lock` or `rye sync` to update this lockfile
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#
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# last locked with the following flags:
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# pre: false
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# features: []
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# all-features: false
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# with-sources: false
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-e file:.
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asttokens==2.4.1
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# via stack-data
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black==24.2.0
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certifi==2024.2.2
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# via requests
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cffi==1.16.0
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# via pyvips
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charset-normalizer==3.3.2
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# via requests
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click==8.1.7
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# via black
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colorama==0.4.6
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# via safari-bingo-cards
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decorator==5.1.1
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# via ipython
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executing==2.0.1
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# via stack-data
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idna==3.6
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# via requests
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ipython==8.22.1
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isort==5.13.2
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jedi==0.19.1
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# via ipython
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matplotlib-inline==0.1.6
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# via ipython
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mypy-extensions==1.0.0
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# via black
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numpy==1.26.4
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# via pandas
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packaging==23.2
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# via black
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pandas==2.2.1
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# via safari-bingo-cards
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parso==0.8.3
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# via jedi
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pathspec==0.12.1
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# via black
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pexpect==4.9.0
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# via ipython
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pkgconfig==1.5.5
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# via pyvips
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platformdirs==4.2.0
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# via black
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prompt-toolkit==3.0.43
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# via ipython
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ptyprocess==0.7.0
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# via pexpect
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pure-eval==0.2.2
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# via stack-data
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pycparser==2.21
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# via cffi
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pygments==2.17.2
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# via ipython
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python-dateutil==2.8.2
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# via pandas
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pytz==2024.1
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# via pandas
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pyvips==2.2.2
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# via safari-bingo-cards
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requests==2.31.0
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# via safari-bingo-cards
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six==1.16.0
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# via asttokens
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# via python-dateutil
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stack-data==0.6.3
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# via ipython
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traitlets==5.14.1
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# via ipython
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# via matplotlib-inline
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tzdata==2024.1
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# via pandas
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urllib3==2.2.1
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# via requests
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wcwidth==0.2.13
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# via prompt-toolkit
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42
requirements.lock
Normal file
42
requirements.lock
Normal file
@ -0,0 +1,42 @@
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# generated by rye
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# use `rye lock` or `rye sync` to update this lockfile
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#
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# last locked with the following flags:
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# pre: false
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# features: []
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# all-features: false
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# with-sources: false
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-e file:.
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certifi==2024.2.2
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# via requests
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cffi==1.16.0
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# via pyvips
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charset-normalizer==3.3.2
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# via requests
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colorama==0.4.6
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# via safari-bingo-cards
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idna==3.6
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# via requests
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numpy==1.26.4
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# via pandas
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pandas==2.2.1
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# via safari-bingo-cards
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pkgconfig==1.5.5
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# via pyvips
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pycparser==2.21
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# via cffi
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python-dateutil==2.8.2
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# via pandas
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pytz==2024.1
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# via pandas
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pyvips==2.2.2
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# via safari-bingo-cards
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requests==2.31.0
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# via safari-bingo-cards
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six==1.16.0
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# via python-dateutil
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tzdata==2024.1
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# via pandas
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urllib3==2.2.1
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# via requests
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