Skip to main content

Alternat is a tool that automates alt text generation.

Project description

alternat: Automate your image alt-text generation workflow.

Resources

Description

alternat automates the image alt-text generation workflow by offering ready to use methods for downloading (Collection in alternat lingo) images and then generating alt-text.

alternat features are grouped into tasks - Collection and Generation

Collection

Collection offers convenience methods to download images. It uses puppeteer (headless chrome) to automate the website crawling and image download process

Generation

Generation offers convenience methods to generate alt-texts. It offers drivers to generate the alt-texts.

  1. Azure API - Uses Azure API for image captioning and OCR. Note Azure is a paid service.
  2. Google API - Uses google API for image captioning and OCR. Note google is a paid service.
  3. Open Source - Uses free open source alternative for OCR.

Supported Video and image file formats jpeg, jpg and png are supported.

Installation

Installation using Docker

  1. Download and Install Docker Desktop for Mac using this link docker-desktop

  2. Clone this repo https://github.com/keplerlab/alternat.git

  3. Change your directory to your cloned repo.

  4. Open terminal and run following commands

cd <path-to-repo> //you need to be in your repo folder
docker-compose build
  1. Start docker container using this command
docker-compose up
  1. In a new terminal window open terminal inside docker container for running alternat using command line type following command:
docker-compose exec alternat bash
  1. You can use this command line to execute collect or generate command line application like this .

Installation from pypi, source and Anaconda Python

Please refer to os specific respective installation guides for macOS, ubuntu and Windows respectively.

Running generate task using command line:

If you want to generate alternate text for any image or folder containing multiple images, you can use Command line option which we call generation stage.

To run generation stage alone you can use following command:

# To run a single file, results will be collected under "results/generate"
# The image extensions supported are: .jpg, .jpeg, .png.

python app.py generate --output-dir-path="./results" --input-image-file-path="./sample/images_with_text/sample1.png"  

or

# To run for entire directory, results will be collected under "results/generate"
# The image extensions supported are: .jpg, .jpeg, .png.

python app.py generate --input-dir-path="./sample/images_with_text" --output-dir-path="./results"

or 

# To generate alt-text using specific driver (like azure, google or open source)
# Do not forget to add the credentials to their respective config files when using azure and google
# azure needs SUBSCRIPTION_KEY and ENDPOINT URL
# google needs ABSOLUTE_PATH_TO_CREDENTIALS_FILE (a credential json file)

python app.py generate --output-dir-path="./results" --input-image-file-path="./sample/images_with_text/sample1.png" --driver-config-file-path="./sample/generator_driver_conf/azure.json"

Sample images are located at sample/images and sample/images_with_text

Running collect task using command line:

First stage is called collection stage, it can be used to crawl and download images from any website or website url, to run the collection stage use following commands:

Use case: Download image from single page

    # To run the collection 
    python app.py collect --collect-using-apify <WEBSITE_URL> ./DATADUMP

Use case: Download images recursively for a given site

    # To run the collection 
    python app.py collect --collect-using-apify --download-recursive <WEBSITE_URL> ./DATADUMP

Knows Issue / Troubleshooting

Please refer to FAQ\Troubleshooting section inside alternat documenation, or raise an Github issue.

Attributions

  1. For open source ocr we are using EasyOCR project https://github.com/JaidedAI/EasyOCR by Rakpong Kittinaradorn.
  2. For web crawling we are using apify wrapper over puppeteer library https://apify.com/.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

alternat-0.1.3.tar.gz (21.8 kB view details)

Uploaded Source

Built Distribution

alternat-0.1.3-py3-none-any.whl (36.2 kB view details)

Uploaded Python 3

File details

Details for the file alternat-0.1.3.tar.gz.

File metadata

  • Download URL: alternat-0.1.3.tar.gz
  • Upload date:
  • Size: 21.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.0.post20201006 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5

File hashes

Hashes for alternat-0.1.3.tar.gz
Algorithm Hash digest
SHA256 6016cb784ce1b66eda9e1b4f667e8517e473ef9011dda01bd19fb3146e1a9a03
MD5 66834697bea4f9f076b999dd982df0c0
BLAKE2b-256 c1a3416cd18123da0f2d0b9f1b90dadc141e766e274890d871ae63bab7b528ca

See more details on using hashes here.

File details

Details for the file alternat-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: alternat-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 36.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.0.post20201006 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5

File hashes

Hashes for alternat-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 f27c0d6814ed92f94a273e358a9c046f5a5bb558576deed446b0f464a8d8a31e
MD5 54d3e000dd972e31aa998dc7d794843c
BLAKE2b-256 c7bea32fde8e8d290d20ce13e0725b3c7d5dd00c82a2022bfe2c23116d46cddd

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page