mmselfsup.models.utils.sobel 源代码
# Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmengine.model import BaseModule
[文档]class Sobel(BaseModule):
"""Sobel layer.
The layer reduces channels from 3 to 2.
"""
def __init__(self) -> None:
super().__init__()
grayscale = nn.Conv2d(3, 1, kernel_size=1, stride=1, padding=0)
grayscale.weight.data.fill_(1.0 / 3.0)
grayscale.bias.data.zero_()
sobel_filter = nn.Conv2d(1, 2, kernel_size=3, stride=1, padding=1)
sobel_filter.weight.data[0, 0].copy_(
torch.FloatTensor([[1, 0, -1], [2, 0, -2], [1, 0, -1]]))
sobel_filter.weight.data[1, 0].copy_(
torch.FloatTensor([[1, 2, 1], [0, 0, 0], [-1, -2, -1]]))
sobel_filter.bias.data.zero_()
self.sobel = nn.Sequential(grayscale, sobel_filter)
for p in self.sobel.parameters():
p.requires_grad = False
[文档] def forward(self, x: torch.Tensor) -> torch.Tensor:
"""Run sobel layer."""
return self.sobel(x)