a46f7616fc81eabeded8f3c5ce0a16d51cbec942,examples/segnet/eval_camvid.py,,main,#,43

Before Change

    confusion = calc_semantic_segmentation_confusion(pred_labels, gt_labels)
    ious = calc_semantic_segmentation_iou(confusion)

    pixel_accuracy = np.diag(confusion).sum() / confusion.sum()
    mean_pixel_accuracy = np.mean(
        np.diag(confusion) / np.sum(confusion, axis=1))

    for iou, label_name in zip(ious, camvid_label_names):

After Change

    print("=" * 34)
    print("{:>23} : {:.4f}".format("mean IoU", result["miou"]))
    print("{:>23} : {:.4f}".format(
        "Class average accuracy", result["mean_accuracy"]))
    print("{:>23} : {:.4f}".format(
        "Global average accuracy", result["pixel_accuracy"]))

Instances