mirror of
https://github.com/open-mmlab/mmsegmentation.git
synced 2025-06-03 22:03:48 +08:00
b0787b8be2
* add isa module * use more readable names, add more comments and exp results * add unittests * remove redundant docstring * Apply suggestions from code review Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> * fix unittest * Update configs * add results * update yml * Update README Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> Co-authored-by: xiexinch <xinchen.xie@qq.com>
21 lines
525 B
Python
21 lines
525 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
|
|
import torch
|
|
|
|
from mmseg.models.decode_heads import ISAHead
|
|
from .utils import to_cuda
|
|
|
|
|
|
def test_isa_head():
|
|
|
|
inputs = [torch.randn(1, 32, 45, 45)]
|
|
isa_head = ISAHead(
|
|
in_channels=32,
|
|
channels=16,
|
|
num_classes=19,
|
|
isa_channels=16,
|
|
down_factor=(8, 8))
|
|
if torch.cuda.is_available():
|
|
isa_head, inputs = to_cuda(isa_head, inputs)
|
|
output = isa_head(inputs)
|
|
assert output.shape == (1, isa_head.num_classes, 45, 45)
|