AI Based Object Redaction/Examples/Library Examples

From RidgeRun Developer Wiki

In this section will be explained an example for face redaction running on GPU.

Backend

First, we create the backend object. The backend provides factories to create the redaction algorithm and buffers. It provides the user the ability to select the desired backend for the execution of the algorithm for object redaction. The backend could be CPU or GPU.

std::shared_ptr<rd::IBackend> backend = std::make_shared<rd::gpu::Backend>();

In case the input buffer is not already in GPU memory, we also need to create a CPU backend to allocate the buffer in CPU memory.

std::shared_ptr<rd::IBackend> cpu_backend = std::make_shared<rd::cpu::Backend>();

Get algorithm

The GetAlgorithm method is used to obtain the redaction algorithm to process the input buffer.

std::shared_ptr<rd::IRedaction> algorithm = backend->GetAlgorithm();

Get Model

The getModel method is used to obtain the AI model that will be used for the detection of the desired object. In this case: faces.

std::shared_ptr<rd::IModel> model = backend->getModel(rd::Model::FACE_DETECTION);

Buffers