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Hello, author, I made the following mistakes during training. May I ask why the following errors occur?
I run the following instructions: bash train_inference.sh -c 0 -n nnformer_tumor -t 3
errors:
I am running the following nnFormer: 3d_fullres
My trainer class is: None
For that I will be using the following configuration:
num_classes: 3
modalities: {0: 'FLAIR', 1: 'T1w', 2: 't1gd', 3: 'T2w'}
use_mask_for_norm OrderedDict([(0, True), (1, True), (2, True), (3, True)])
keep_only_largest_region None
min_region_size_per_class None
min_size_per_class None
normalization_schemes OrderedDict([(0, 'nonCT'), (1, 'nonCT'), (2, 'nonCT'), (3, 'nonCT')])
stages...
I am using stage 0 from these plans
I am using sample dice + CE loss
I am using data from this folder: /home/lx/project/nnFormer/dataset/nnformer_preprocessed/Task003_tumor/nnFormerData_plans_v2.1
###############################################
Traceback (most recent call last):
File "/home/lx/.conda/envs/nnFormer/bin/nnFormer_train", line 33, in
sys.exit(load_entry_point('nnformer', 'console_scripts', 'nnFormer_train')())
File "/home/lx/project/nnFormer/nnformer/run/run_training.py", line 140, in main
raise RuntimeError("Could not find trainer class in nnformer.training.network_training")
RuntimeError: Could not find trainer class in nnformer.training.network_training
The text was updated successfully, but these errors were encountered:
Hello, author, I made the following mistakes during training. May I ask why the following errors occur?
I run the following instructions: bash train_inference.sh -c 0 -n nnformer_tumor -t 3
errors:
I am running the following nnFormer: 3d_fullres
My trainer class is: None
For that I will be using the following configuration:
num_classes: 3
modalities: {0: 'FLAIR', 1: 'T1w', 2: 't1gd', 3: 'T2w'}
use_mask_for_norm OrderedDict([(0, True), (1, True), (2, True), (3, True)])
keep_only_largest_region None
min_region_size_per_class None
min_size_per_class None
normalization_schemes OrderedDict([(0, 'nonCT'), (1, 'nonCT'), (2, 'nonCT'), (3, 'nonCT')])
stages...
stage: 0
{'batch_size': 2, 'num_pool_per_axis': [5, 5, 5], 'patch_size': array([128, 128, 128]), 'median_patient_size_in_voxels': array([138, 169, 138]), 'current_spacing': array([1., 1., 1.]), 'original_spacing': array([1., 1., 1.]), 'do_dummy_2D_data_aug': False, 'pool_op_kernel_sizes': [[2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2]], 'conv_kernel_sizes': [[3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3], [3, 3, 3]]}
I am using stage 0 from these plans
I am using sample dice + CE loss
I am using data from this folder: /home/lx/project/nnFormer/dataset/nnformer_preprocessed/Task003_tumor/nnFormerData_plans_v2.1
###############################################
Traceback (most recent call last):
File "/home/lx/.conda/envs/nnFormer/bin/nnFormer_train", line 33, in
sys.exit(load_entry_point('nnformer', 'console_scripts', 'nnFormer_train')())
File "/home/lx/project/nnFormer/nnformer/run/run_training.py", line 140, in main
raise RuntimeError("Could not find trainer class in nnformer.training.network_training")
RuntimeError: Could not find trainer class in nnformer.training.network_training
The text was updated successfully, but these errors were encountered: