xiahaifeng1995/PaDiM-Anomaly-Detection-Localization-master
This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.
PythonApache-2.0
Issues
- 0
saving the trained model
#46 opened by gurbir739 - 0
Speed up the PaDim
#45 opened by DeepKnowledge1 - 0
May I ask if there are any good optimization methods for models that often detect normal samples as anomalies
#42 opened by cvcabbage - 3
- 5
while embedding_concat() runs, I got "Killed"
#32 opened by wonchul-kim - 6
- 0
GMM and Mahalanobis distance
#41 opened by Leonardo0325 - 0
Pro-score
#39 opened by tangyaorui-tyr - 0
pro-score指标
#38 opened by tangyaorui-tyr - 3
- 2
- 6
Cuda is slower than cpu
#17 opened by dhkdnduq - 2
KILLED problem
#35 opened by aytek03 - 0
What is the evaluation protocol in paper?
#36 opened by edwardcho - 4
- 10
Question about CPU out of memory
#27 opened by Youskrpig - 1
- 3
about embedding concat
#11 opened by chengweige - 0
Calculate image ROCAUC score low
#34 opened by VivizSun - 25
Inference time
#8 opened by sangkyuleeKOR - 4
when i test,the time is so long
#33 opened by leolv131 - 1
- 3
About the size of the input image
#9 opened by xfby2016 - 5
Cut the model to save time
#13 opened by DeepKnowledge1 - 3
- 1
- 3
- 2
Can i use another models?
#23 opened by GaengSu - 1
- 4
LICENSE file
#10 opened by SamvitJ - 0
Is it necessary to embed layer1?
#19 opened by dhkdnduq - 0
threshold of anomaly classification
#20 opened by QQR1 - 1
The score is very different
#18 opened by DeepKnowledge1 - 8
Apply PaDiM to another domain.
#16 opened by sangkyuleeKOR - 0
PRO Score
#14 opened by prakhar123pradhan - 1
It also looks good to save conv_inv.
#12 opened by dhkdnduq - 2
Threshold selection for the testing
#7 opened by xfby2016 - 0
Results for R18-Rd100?
#6 opened by TzxzT - 2
Large data
#2 opened by DeepKnowledge1 - 2
About the PRO-score
#5 opened by Classmate-Huang - 3
Error
#3 opened by reddevil1310