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V1 version cannot be train[Task]: #1684
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@ashwinvaidya17, can you have a look at this |
It should be fixed when this PR #1640 is recreated to target the main branch |
9 tasks
I am closing this issue. Feel free to re-open it if it still persists. |
Thank you very much for your reply. I will continue to verify the algorithm
…---- Replied Message ----
| From | Ashwin ***@***.***> |
| Date | 02/14/2024 23:09 |
| To | openvinotoolkit/anomalib ***@***.***> |
| Cc | MMYY-yy ***@***.***>,
Author ***@***.***> |
| Subject | Re: [openvinotoolkit/anomalib] V1 version cannot be train[Task]: (Issue #1684) |
I am closing this issue. Feel free to re-open it if it still persists.
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What is the motivation for this task?
error: Parser key "post_processing.normalization_method":
Expected a member of <enum 'NormalizationMethod'>: {CDF,MIN_MAX,NONE}. Got value: min_max
Describe the solution you'd like
error: Parser key "post_processing.normalization_method":
Expected a member of <enum 'NormalizationMethod'>: {CDF,MIN_MAX,NONE}. Got value: min_max
class_path: anomalib.data.Folder
init_args:
root: "data/SY1"
normal_dir: "SY1_OK_train"
abnormal_dir: "SY1_NG_test"
normal_test_dir: "SY1_OK_test"
mask_dir: null #"ground_truth/broken_large"
normal_split_ratio: 0
extensions: null #[".png"]
image_size: [320, 95]
center_crop: null
normalization: imagenet
train_batch_size: 32
eval_batch_size: 32
num_workers: 8
task: CLASSIFICION #SEGMENTATION
transform_config_train: null
transform_config_eval: null
test_split_mode: FROM_DIR
test_split_ratio: 0.2
val_split_mode: SAME_AS_TEST
val_split_ratio: 0.5
seed: null
model:
class_path: anomalib.models.Cfa
init_args:
backbone: wide_resnet50_2
gamma_c: 1
gamma_d: 1
num_nearest_neighbors: 3
num_hard_negative_features: 3
radius: 1.0e-05
metrics:
#pixel: AUROC
image: AUROC
trainer:
max_epochs: 30
callbacks:
- class_path: lightning.pytorch.callbacks.EarlyStopping
init_args:
patience: 5
monitor: image_AUROC #pixel_AUROC
mode: max
Additional context
No response
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