Azure_Vision_ImageRetrieval

This repository aims at giving sample code for vector search with Azure Computer Vision Image retrieval API and faiss.

Other reference:

• Revolutionizing Image Search with Vectors
• What is Azure AI Vision?
• Computer Vision の Image Retrieval を使って画像のベクトル検索を行う in Japanese
• Quickstart: Image Analysis 4.0

How to use

• Environmental setting

  • python libraries:

  pip install -r ./requirements.txt

• API assumption

  • Prepare Flickr account, where we can get several image under creative commons license.
  • Prepare Azure Computer vision API

• Configuration You need to prepare the config.yml file for configuration. Once you put values, please allocate it in the top directory of the repository:

      ## Flickr account
      flickr:
          API_KEY: <YOUR API KEY>
          API_SECRET: <YOUR API SECRET>
          NUMBER_OF_IMAGES: 100 ## How many images do you use?
          NUMBER_PROCESS_IMAGES: 10  ## Prepare for test
  
      image:
          folder: './downloaded_images'
  
      Azure:
          KEY: <YOUR API KEY FOR AZURE COMPUTER VISION>
          ENDPOINT: 'https://<YOUR CV RESOURCE NAME>.cognitiveservices.azure.com'
  
      faiss:
          dimension: 1024
          filename: 'imageIndex.pkl'
          top_N: 5 ## How many you use 
  
      meta_data:
          vectors_name: 'vectors.pkl'
  
      display:
          num_cols: 1 ## How many columns in displaying the result?

• Run the codes!

  • If you succeed in running the notebook, you get the following result in the end.
    • 
    • Here are quick summary of the procedures:
      • Get several images in Flickr.
      • For the downloaded images, we append vector with vectorizeImage API.
      • Store the vectors in faiss, where we can query images after converting text or image into vector.
      • We put many people as argument of query_text of the method displayWithText. Then, the text is converted into vector with vectorizeText API, and it's used for searching pre-stored images.

Note: Environment setup

• API refrence for azure-ai-vision
• If python doesn't see the package, try: !pip show
  • Then, add the path as follows: sys.path.append('/anaconda/envs/azureml_py38/lib/python3.8/site-packages')

Contributing

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