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anomalib fit -c configs/model/csflow.yaml --data configs/data/mvtec.yaml
Usage: anomalib [-h] [-c CONFIG] [--print_config [=flags]]
{install,fit,validate,test,train,predict,export} ...
error: Parser key "data":
Problem with given class_path 'anomalib.data.MVTec':
Validation failed: No action for key "center_crop" to check its value.
anomalib fit -c configs/model/padim.yaml --data configs/data/mvtec.yaml
Usage: anomalib [-h] [-c CONFIG] [--print_config [=flags]]
{install,fit,validate,test,train,predict,export} ...
error: Parser key "model":
Problem with given class_path 'anomalib.models.Padim':
Validation failed: No action for key "input_size" to check its value.
anomalib fit -c configs/model/cfa.yaml --data configs/data/mvtec.yaml
Usage: anomalib [-h] [-c CONFIG] [--print_config [=flags]]
{install,fit,validate,test,train,predict,export} ...
error: Parser key "data":
Problem with given class_path 'anomalib.data.MVTec':
Validation failed: No action for key "center_crop" to check its value.
anomalib fit -c configs/model/patchcore.yaml --data configs/data/mvtec.yaml
Usage: anomalib [-h] [-c CONFIG] [--print_config [=flags]]
{install,fit,validate,test,train,predict,export} ...
error: Parser key "data":
Problem with given class_path 'anomalib.data.MVTec':
Validation failed: No action for key "center_crop" to check its value.
Dataset
MVTec
Model
CSFlow
Steps to reproduce the behavior
anomalib fit -c configs/model/padim.yaml --data configs/data/mvtec.yaml
The same error happens with all algorithms.
OS information
OS information:
OS: [e.g. Ubuntu 20.04]
Python version: [e.g. 3.10.0]
Anomalib version: [e.g. 0.3.6]
PyTorch version: [e.g. 1.9.0]
CUDA/cuDNN version: [e.g. 11.1]
GPU models and configuration: [e.g. 2x GeForce RTX 3090]
Any other relevant information: [e.g. I'm using a custom dataset]
Expected behavior
Continue without errors.
Screenshots
No response
Pip/GitHub
GitHub
What version/branch did you use?
No response
Configuration YAML
Default in configs
Logs
error: Parser key "data":
Problem with given class_path 'anomalib.data.MVTec':
Validation failed: No action for key "center_crop" to check its value.
Code of Conduct
I agree to follow this project's Code of Conduct
The text was updated successfully, but these errors were encountered:
Describe the bug
anomalib fit -c configs/model/csflow.yaml --data configs/data/mvtec.yaml
Usage: anomalib [-h] [-c CONFIG] [--print_config [=flags]]
{install,fit,validate,test,train,predict,export} ...
error: Parser key "data":
Problem with given class_path 'anomalib.data.MVTec':
Validation failed: No action for key "center_crop" to check its value.
anomalib fit -c configs/model/padim.yaml --data configs/data/mvtec.yaml
Usage: anomalib [-h] [-c CONFIG] [--print_config [=flags]]
{install,fit,validate,test,train,predict,export} ...
error: Parser key "model":
Problem with given class_path 'anomalib.models.Padim':
Validation failed: No action for key "input_size" to check its value.
anomalib fit -c configs/model/cfa.yaml --data configs/data/mvtec.yaml
Usage: anomalib [-h] [-c CONFIG] [--print_config [=flags]]
{install,fit,validate,test,train,predict,export} ...
error: Parser key "data":
Problem with given class_path 'anomalib.data.MVTec':
Validation failed: No action for key "center_crop" to check its value.
anomalib fit -c configs/model/patchcore.yaml --data configs/data/mvtec.yaml
Usage: anomalib [-h] [-c CONFIG] [--print_config [=flags]]
{install,fit,validate,test,train,predict,export} ...
error: Parser key "data":
Problem with given class_path 'anomalib.data.MVTec':
Validation failed: No action for key "center_crop" to check its value.
Dataset
MVTec
Model
CSFlow
Steps to reproduce the behavior
anomalib fit -c configs/model/padim.yaml --data configs/data/mvtec.yaml
The same error happens with all algorithms.
OS information
OS information:
Expected behavior
Continue without errors.
Screenshots
No response
Pip/GitHub
GitHub
What version/branch did you use?
No response
Configuration YAML
Default in configs
Logs
Code of Conduct
The text was updated successfully, but these errors were encountered: