关于后处理

版权声明：本文为博主CSDN Rosefun96原创文章。 https://blog.csdn.net/rosefun96/article/details/88855478

1 图像语义分割Iou阈值

def iou_metric_batch(y_true_in, y_pred_in):
    batch_size = y_true_in.shape[0]
    metric = []
    for batch in range(batch_size):
        value = iou_metric(y_true_in[batch], y_pred_in[batch])
        metric.append(value)
    return np.mean(metric)
    
thresholds = np.linspace(0, 1, 50)
ious = np.array([iou_metric_batch(y_valid_ori, np.int32(preds_valid > threshold)) for threshold in tqdm_notebook(thresholds)])

2 其他

skimage去除小连通域；

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参考：
1 kaggle 后处理；