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shyam671 / Mask2Anomaly-Unmasking-Anomalies-in-Road-Scene-Segmentation

[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation
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about prediction result #4

Closed brianhu0716 closed 10 months ago

brianhu0716 commented 10 months ago

Hi, I'm appreciate you to share this great work. However, during process, a problem occur with the model prediction results seems to have label '255', which leads to error reported when we need to calculate confusion matrix(34 * 34).

My question is in the cityscapes dataset pre-process stage, should I need to do any other work except the following command you mentioned in README: CITYSCAPES_DATASET=/path/to/abovementioned/cityscapes python cityscapesscripts/preparation/createTrainIdLabelImgs.py

or this error occurs due to other issues? hope that you can share your opnions, very thanks!

shyam671 commented 10 months ago

Hi, Yes. We need to follow the same set of instructions given in cityscapes repo to prepare semantic segmentation dataset.

The confusion matrix takes values between 0 and 1. So we avoid the 255 label. More details regarding this can be found in anomaly_utils folder.