# segmap = F.interpolate(segmap, size=x.size()[2:], mode='nearest') actv = self.mlp_shared(segmap) repeat_factor = normalized.shape[0]//segmap.shape[0] if repeat_factor > 1: out = normalized out *= (1 + self.mlp_gamma(actv).repeat_interleave(repeat_factor, dim=0)) out +=...
代码: ''' Descripttion: 三层的ASFF模块,对数据格式要求很高,建议读懂代码再使用,切不可盲目使用 Result: 根据level确定输出数据的维度 Author: Philo Date: 2023-06-01 10:48:40 LastEditors: Philo LastEditTime: 2023-06-07 17:25:21 ''' import torch import torch.nn as nn import torch.nn.functio...
In this case, the landmarks or shapes are assigned to zero distance, while the rest of the pixels of the image are labeled with the distance to the nearest geometrical primitive (landmark or boundary). Once the distance map iscreated, the optimal transformation model can be estimated by ...