mask-rcnn解读（二）：clip_boxes_graph（）

此函数是利用deltas对box修正，我并没有详细说明，若有问题，欢迎留言交流：

def clip_boxes_graph(boxes, window):    """    boxes: [N, (y1, x1, y2, x2)]    window: [4] in the form y1, x1, y2, x2    """    # Split    wy1, wx1, wy2, wx2 = tf.split(window, 4)    y1, x1, y2, x2 = tf.split(boxes, 4, axis=1)    # Clip    y1 = tf.maximum(tf.minimum(y1, wy2), wy1)    x1 = tf.maximum(tf.minimum(x1, wx2), wx1)    y2 = tf.maximum(tf.minimum(y2, wy2), wy1)    x2 = tf.maximum(tf.minimum(x2, wx2), wx1)    clipped = tf.concat([y1, x1, y2, x2], axis=1, name="clipped_boxes")    clipped.set_shape((clipped.shape[0], 4))    return clipped

来源：https://www.cnblogs.com/tangjunjun/p/11963442.html