问不知道如何生成采样位置：

EN

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

• output_prob: True

• label_normalisation: True

• num_classes softmax:14

• output_prob:True

• label_normalisation：(0，

• (‘num_classes’，)
• num_classes：(‘’，)
  • 权重：()
  • 采样器：()
  • 推断：()

姓名: net_segment

CONFIG_FILE

• 路径: /home/ubuntu/niftynet/extensions/deepmedic/deepmedic_all_task_renambed_labels.ini

图片

• csv_file:
• path_to_search: /home/ubuntu/med_deacthalon/Task_all_same_names/imagesTr_1
• filename_contains：()
• filename_not_contains：(‘)
• interp_order：’，1.0)
• axcodes: 3
• loader: None
• pixdim：(1.0，1.0，lung ('A'，'R'，'S')
• spatial_window_size：(51，51，51)

(51，51，51)

标签

-csv_file：

• path_to_search: /home/ubuntu/med_deacthalon/Task_all_same_names/labelsTr_1
• filename_contains：()
• filename_not_contains：(‘)
• interp_order：’，1.0)
• axcodes: 3
• loader: None
• pixdim：(1.0，1.0，1.0)
• axcodes：('A'，'R'，'S')
• spatial_window_size：(9，9，9)

系统

• cuda_devices：""
• num_threads: 2
• num_gpus: 1
• model_dir: /home/ubuntu/models_nifty/deepmedic/all_task_same_name_rename_labels
• dataset_split_file：./dataset_split.csv
• action：
• num_gpus:1
• model_dir:/home/ubuntu/models_nifty/deepmedic/all_task_same_name_rename_labels
• dataset_split_file：./dataset_split.csv
• action：

网络

衰变名称: deepmedic

• activation_function: relu

• batch_size: 32

• ：0.0

• reg_type: L2

• volume_padding_size：(21，21，21)

• volume_padding_mode: minimum

• window_sampling: uniform

• queue_length: 128

• multimod_foreground_type: and

• histogram_ref_file: histogram_standardisation_alltask.txt

• norm_type: percentile

• cutoff：(0.01，0.99)

• foreground_type: otsu_plus

• normalisation: False

• whitening: True

• normalise_foreground_only: True

• weight_initializer: he_normal

• bias_initializer: zeros

• keep_prob: 1.0

• weight_initializer_args：{}

• bias_initializer_args：{}

培训

• optimiser: adam
• sample_per_volume: 32
• rotation_angle：(-10.0，10.0)
• rotation_angle_x：()
• rotation_angle_y：()
• rotation_angle_z：()
• scaling_percentage：(-10.0，10.0)
• random_flipping_axes：-1
• do_elastic_deformation: False
• num_ctrl_points: 4
• deformation_sigma: 15
• proportion_to_deform: 0.5
• lr: 0.001
• loss_type: Dice
• starting_iter: 0
• save_every_n: 45
• tensorboard_every_n: 20
• max_iter: 10
• max_checkpoints: 20

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