Hybrid (Detection and Classification) as Model Testing to Identify and Classify the Protozoan Trypanosome Species

To begin, navigate to the general toolbar, click on Button Run, then click Debug to start the hybrid testing model. Next, move to the image toolbar, choose Acquisition and select Image Slide. Go to Deep Composite and click on Deep D-C.

Before beginning the testing phase for the images, click on the setting option available in the image slide tool and import the test images. Then click the setting option in the deep D-C tool to import the two saved trained weight files. For the Detect function, click on the Config button, plus button, and select the backend CUDA or CPU.

Provide a name and click OK.Select the weight file directory and click Choose. For the Classif function, click the Config button, followed by the plus button, and then select the backend. Provide a name and click OK.After this, select the directory for the weight file and click Choose.

To view the test image results, click on the image function available in the Debug tool. Lastly, to evaluate the predicted results for each image, click on the Run button found in the Button Run tool.