尺寸是如何在均匀采样器中生成的?我试着调试图像大小,它似乎适用于某些迭代,而不适用于其他迭代。有没有办法解决这个问题。我的配置如下:
自定义
标签标签: 14
姓名: net_segment
CONFIG_FILE
图片
(51,51,51)
标签
-csv_file:
系统
网络
衰变名称: deepmedic
培训
H1173
validation_max_iter: 1
exclude_fraction_for_validation: 0.0
exclude_fraction_for_inference::code>validation_every_n 0.0
推理
边框(57,57,57)
inference_iter:-1
dataset_to_infer:
save_seg_dir:./deepmedic/alltask_newname
output_postfix:_niftynet_out
output_interp_order: 0
:(36,36,36)
)
CRITICAL:niftynet: Don't know how to generate sampling locations: Spatial dimensions of the grouped input sources are not consistent. {(477, 451, 187), (391, 369, 147)} Exception in thread Thread-2: Traceback (most recent call last): File "/home/ubuntu/anaconda3/envs/python3/lib/python3.6/threading.py", line 916, in _bootstrap_inner self.run() File "/home/ubuntu/anaconda3/envs/python3/lib/python3.6/threading.py", line 864, in run self._target(*self._args, **self._kwargs) File "/home/ubuntu/niftynet/NiftyNet/niftynet/engine/image_window_buffer.py", line 148, in _push for output_dict in self(): File "/home/ubuntu/niftynet/NiftyNet/niftynet/engine/sampler_uniform.py", line 81, in layer_op self.window.n_samples) File "/home/ubuntu/niftynet/NiftyNet/niftynet/engine/sampler_uniform.py", line 151, in _spatial_coordinates_generator _infer_spatial_size(img_sizes, win_sizes) File "/home/ubuntu/niftynet/NiftyNet/niftynet/engine/sampler_uniform.py", line 238, in _infer_spatial_size raise NotImplementedError NotImplementedError
发布于 2018-08-11 07:49:28
这个问题在这里得到解决:https://github.com/NifTK/NiftyNet/issues/170
总之,当在配置文件中设置pixdim
时,图像和标签应该在它们的头部中存储相同的体素间隔值。
https://stackoverflow.com/questions/51524687
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