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How to use the torchcam.saliency.get_image_saliency_result function in torchcam

To help you get started, we’ve selected a few torchcam examples, based on popular ways it is used in public projects.

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Tramac / pytorch-cam / torchcam / cam.py View on Github

def getCAM(model, raw_image, input, label, layer_path=None, display=True, save_path=False):
    saliency_maps = get_image_saliency_result(model, raw_image, input, label,
                                              methods=['gradcam'], layer_path=layer_path)
    figure = get_image_saliency_plot(saliency_maps, display=display, save_path=save_path)

    return figure