FPEM_FFM¶
- class mmocr.models.textdet.FPEM_FFM(in_channels, conv_out=128, fpem_repeat=2, align_corners=False, init_cfg={'distribution': 'uniform', 'layer': 'Conv2d', 'type': 'Xavier'})[源代码]¶
This code is from https://github.com/WenmuZhou/PAN.pytorch.
- 参数
in_channels (list[int]) – A list of 4 numbers of input channels.
conv_out (int) – Number of output channels.
fpem_repeat (int) – Number of FPEM layers before FFM operations.
align_corners (bool) – The interpolation behaviour in FFM operation, used in
torch.nn.functional.interpolate()
.init_cfg (dict or list[dict], optional) – Initialization configs.
- 返回类型