Microsoft Build After Party | The possibilities of AI

This repository was created to host the code files needed for the purposes of our Microsoft Build After Party. You can find more information in our webpage

If you want to run the demo for Image Vector Similarity Search with Azure Computer Vision and PostgreSQL, you can find the corresponding GitHub repository here, and the blog post that Foteini has created here

What is included in this demo?

• A Jupyter notebook that uses the latest feature of the Azure Cognitive Services for Vision (Computer Vision 4.0), which you can access via the Vision Studio. The services that are included in this notebook are:
  • Background removal
  • Dense Captions
  • Image Captioning
  • Object Detection
  • Image Tagging
  • Crop Suggestions
  • Face Detection
  • Text Recognition
• A test image that you can use to test the services.
• A sample output image that you can use to compare your results with the expected ones.

How to run the demo?

1. Sign up for a free Azure account here. If you are a student, you can also sign up for a free account here.

2. Create a Cognitive Services resource in the Azure Portal.

   Note: If you also want to use this for the Image Retrieval demo in the Vision Studio, you should select East US as the region of your resource.

3. Clone this repository: git clone https://github.com/sitistas/the-possibilities-of-ai.git

4. Install Python3 in your computer.

5. (Optional but recommended) Install Visual Studio Code and the Jupyter Notebook extension to run the notebook.

6. Create a file called .env in the project folder, which will contain the keys of your Cognitive Services resource. The file should look like this:

   'CV_ENDPOINT'=https://<COGNITIVE_SERVICES_RESOURCE_NAME>.cognitiveservices.azure.com/
   'CV_KEY'=<A 32 character string that you can find in the Keys and Endpoint section of your resource>

7. Run the notebook and enjoy!