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gradcam

Description

Note

More information about the service specification can be found in the Core concepts > Service documentation.

This service implements GradCAM (Gradient-weighted Class Activation Mapping) on CNN model trained for sport classification. Beside the recognition label among 100 sports, it returns a colored heatmap of the input image to underline the pixels that actively play a role in the recognition process.

The API documentation is automatically generated by FastAPI using the OpenAPI standard. A user friendly interface provided by Swagger is available under the /docs route, where the endpoints of the service are described.

This simple service only has one route /compute that takes an image as input, which will be analyzed.

Environment variables

Check the Core concepts > Service > Environment variables documentation for more details.

Run the tests with Python

Check the Core concepts > Service > Run the tests with Python documentation for more details.

Start the service locally

Check the Core concepts > Service > Start the service locally documentation for more details.