Running the train_and_infer.yml config file adapting the input and output paths, returns the following errors:
11/29/2024 03:17:14 PM INFO - Loading configs
Traceback (most recent call last):
File "/nfs/scistore08/imagegrp/mdallave/.conda/envs/run-stardist/bin/predict-stardist", line 10, in <module>
sys.exit(main())
^^^^^^
File "/nfs/scistore08/imagegrp/mdallave/.conda/envs/run-stardist/lib/python3.11/site-packages/runstardist/predict.py", line 117, in main
config_all = ConfigPred(**config)
^^^^^^^^^^^^^^^^^^^^
File "pydantic/main.py", line 339, in pydantic.main.BaseModel.__init__
File "pydantic/main.py", line 1074, in pydantic.main.validate_model
File "pydantic/fields.py", line 881, in pydantic.fields.ModelField.validate
File "pydantic/fields.py", line 1098, in pydantic.fields.ModelField._validate_singleton
File "pydantic/fields.py", line 1154, in pydantic.fields.ModelField._apply_validators
File "pydantic/class_validators.py", line 337, in pydantic.class_validators._generic_validator_basic.lambda13
File "pydantic/main.py", line 711, in pydantic.main.BaseModel.validate
File "pydantic/main.py", line 339, in pydantic.main.BaseModel.__init__
File "pydantic/main.py", line 1074, in pydantic.main.validate_model
File "pydantic/fields.py", line 895, in pydantic.fields.ModelField.validate
File "pydantic/fields.py", line 1154, in pydantic.fields.ModelField._apply_validators
File "pydantic/class_validators.py", line 306, in pydantic.class_validators._generic_validator_cls.lambda5
File "/nfs/scistore08/imagegrp/mdallave/.conda/envs/run-stardist/lib/python3.11/site-packages/runstardist/config.py", line 118, in model_name_is_valid
if not (values['model_dir'] / v).is_dir():
~~~~~~^^^^^^^^^^^^^
KeyError: 'model_dir'
This is the content of the yaml file:
stardist:
model_dir: Null
model_name: generic_plant_nuclei_3D # `generic_plant_nuclei_3D` is the default builtin model
model_type: StarDist3D
model_config: # model configuration should stay identical for training and inference
backbone: resnet
n_rays: 96
grid: [2, 4, 4]
use_gpu: False
n_channel_in: 1
patch_size: [96, 96, 96] # multiple of 16 prefered
train_batch_size: 8
train_n_val_patches: 16
steps_per_epoch: 400
epochs: 1000
Replacing the Null for a path, fails to find the model:
11/29/2024 03:19:59 PM INFO - Loading configs
{}
Traceback (most recent call last):
File "/nfs/scistore08/imagegrp/mdallave/.conda/envs/run-stardist/bin/predict-stardist", line 10, in <module>
sys.exit(main())
^^^^^^
File "/nfs/scistore08/imagegrp/mdallave/.conda/envs/run-stardist/lib/python3.11/site-packages/runstardist/predict.py", line 117, in main
config_all = ConfigPred(**config)
^^^^^^^^^^^^^^^^^^^^
File "pydantic/main.py", line 339, in pydantic.main.BaseModel.__init__
File "pydantic/main.py", line 1074, in pydantic.main.validate_model
File "pydantic/fields.py", line 881, in pydantic.fields.ModelField.validate
File "pydantic/fields.py", line 1098, in pydantic.fields.ModelField._validate_singleton
File "pydantic/fields.py", line 1154, in pydantic.fields.ModelField._apply_validators
File "pydantic/class_validators.py", line 337, in pydantic.class_validators._generic_validator_basic.lambda13
File "pydantic/main.py", line 711, in pydantic.main.BaseModel.validate
File "pydantic/main.py", line 339, in pydantic.main.BaseModel.__init__
File "pydantic/main.py", line 1074, in pydantic.main.validate_model
File "pydantic/fields.py", line 895, in pydantic.fields.ModelField.validate
File "pydantic/fields.py", line 1154, in pydantic.fields.ModelField._apply_validators
File "pydantic/class_validators.py", line 306, in pydantic.class_validators._generic_validator_cls.lambda5
File "/nfs/scistore08/imagegrp/mdallave/.conda/envs/run-stardist/lib/python3.11/site-packages/runstardist/config.py", line 119, in model_name_is_valid
raise NotADirectoryError(f"Model {v} does not exist.")
NotADirectoryError: Model generic_plant_nuclei_3D does not exist.
Running the train_and_infer.yml config file adapting the input and output paths, returns the following errors:
This is the content of the yaml file:
Replacing the Null for a path, fails to find the model: