Error when evaluate with MVTec code

[winstonchu498]

I used the python script you gave as follow:

python mvtec_ad_evaluation/evaluate_experiment.py --dataset_base_dir './mvtec_anomaly_detection/' --anomaly_maps_dir './output/1/anomaly_maps/mvtec_ad/' --output_dir './output/1/metrics/mvtec_ad/' --evaluated_objects bottle

but there are errors:

`python mvtec_ad_evaluation/evaluate_experiment.py --dataset_base_dir './mvtec_anomaly_detection/' --anomaly_maps_dir './output/1/anomaly_maps/mvtec_ad/' --output_dir './output/1/metrics/mvtec_ad/' --evaluated_objects bottle
=== Evaluate bottle ===
Parsed 83 ground truth image files.
Read ground truth files and corresponding predictions...
0%| | 0/83 [00:00<?, ?it/s]
Traceback (most recent call last):
File "F:\implementation_anomalydetection\nelson1425_EfficientAD\nelson_data\mvtec_ad_evaluation\evaluate_experiment.py", line 247, in
main()
File "F:\implementation_anomalydetection\nelson1425_EfficientAD\nelson_data\mvtec_ad_evaluation\evaluate_experiment.py", line 215, in main
calculate_au_pro_au_roc(
File "F:\implementation_anomalydetection\nelson1425_EfficientAD\nelson_data\mvtec_ad_evaluation\evaluate_experiment.py", line 148, in calculate_au_pro_au_roc
prediction = util.read_tiff(pred_name)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\implementation_anomalydetection\nelson1425_EfficientAD\nelson_data\mvtec_ad_evaluation\generic_util.py", line 102, in read_tiff
raise FileNotFoundError('Could not find a file with a TIFF extension'
FileNotFoundError: Could not find a file with a TIFF extension at ./output/1/anomaly_maps/mvtec_ad/bottle\test\broken_large\000
(base) PS F:\implementation_anomalydetection\nelson1425_EfficientAD\nelson_data>

`

all the mvtec_ad_evaluation.tar.xz and mvtec_anomaly_detection.tar.xz are from what you share.
I am running from aconda powershell from windows 10

can anyone point a way ?

[HoseinHashemi]

Pass the argument exts=['.tiff'] to the util.read_tiff(pred_name) and it must solve the issue.
So line 148 of evaluate_experiment.py should look like : prediction = util.read_tiff(pred_name, exts=['.tiff'])

Or alternatively, the function could be changed to deal with the issue.