PriorBox 改进
【摘要】
不改中心,把边框改为非对称的:
self.clip=True即可
超过边界,锚框移动到边界上:
import torchfrom itertools import product as productimport numpy as npfrom math import ceil class PriorBox(object):...
不改中心,把边框改为非对称的:
self.clip=True即可
超过边界,锚框移动到边界上:
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import torch
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from itertools import product as product
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import numpy as np
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from math import ceil
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class PriorBox(object):
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def __init__(self, cfg, image_size=None, x_scale=1, y_scale=1):
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super(PriorBox, self).__init__()
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self.min_sizes = cfg['min_sizes']
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self.steps = cfg['steps']
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self.clip = cfg['clip']
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self.image_size = image_size
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self.feature_maps = [[ceil(self.image_size[0]/step), ceil(self.image_size[1]/step)] for step in self.steps]
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self.name = "s"
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self.y_scale=y_scale
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self.x_scale=x_scale
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def forward(self):
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anchors = []
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# 'min_sizes': [[16, 32], [64, 128], [256, 512]],
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# 'steps': [8, 16, 32],
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#feature_maps:[5,2.5,1.25]
文章来源: blog.csdn.net,作者:AI视觉网奇,版权归原作者所有,如需转载,请联系作者。
原文链接:blog.csdn.net/jacke121/article/details/104001339
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