Evaluation of each test image in keras model

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I'm new in using keras and Unet for the segmentation of the images. I am using a code already done from which to start and wanted to know how I could get an accuracy value, iou_score in this case, for each image in the test, not just the total average.

the already done code I am using is the following: https://github.com/qubvel/segmentation_models/blob/master/examples/binary%20segmentation%20(camvid).ipynb

What I want to achieve is to have an accuracy value for each predicted image. In this image, for example, I would like an accuracy for each prediction, so 3 different values, one per line. image

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