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Update EfficientAD #1143

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Update EfficientAD #1143

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4d7f072
Update EfficientAD
nelson1425 Jun 18, 2023
ee39ca9
Update src/anomalib/models/efficientad/lightning_model.py
nelson1425 Jun 20, 2023
efc7e60
Update src/anomalib/models/efficientad/lightning_model.py
nelson1425 Jun 20, 2023
e77775b
Replace 16777216 with 2**24
nelson1425 Jun 24, 2023
0da8858
Add pad_maps config parameter
nelson1425 Jun 28, 2023
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2 changes: 2 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -10,6 +10,8 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).

### Changed

- Improve default settings of EfficientAD

### Deprecated

### Fixed
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61 changes: 34 additions & 27 deletions README.md
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Expand Up @@ -107,6 +107,7 @@ where the currently available models are:
- [DFKDE](src/anomalib/models/dfkde)
- [DFM](src/anomalib/models/dfm)
- [DRAEM](src/anomalib/models/draem)
- [EfficientAD](src/anomalib/models/efficientad)
- [FastFlow](src/anomalib/models/fastflow)
- [GANomaly](src/anomalib/models/ganomaly)
- [PADIM](src/anomalib/models/padim)
Expand Down Expand Up @@ -285,43 +286,49 @@ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

## Image-Level AUC

| Model | | Avg | Carpet | Grid | Leather | Tile | Wood | Bottle | Cable | Capsule | Hazelnut | Metal Nut | Pill | Screw | Toothbrush | Transistor | Zipper |
| ------------- | ------------------ | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-----: | :-------: | :-------: | :------: | :-------: | :-------: | :-------: | :--------: | :--------: | :-------: |
| **PatchCore** | **Wide ResNet-50** | **0.980** | 0.984 | 0.959 | 1.000 | **1.000** | 0.989 | 1.000 | **0.990** | **0.982** | 1.000 | 0.994 | 0.924 | 0.960 | 0.933 | **1.000** | 0.982 |
| PatchCore | ResNet-18 | 0.973 | 0.970 | 0.947 | 1.000 | 0.997 | 0.997 | 1.000 | 0.986 | 0.965 | 1.000 | 0.991 | 0.916 | **0.943** | 0.931 | 0.996 | 0.953 |
| CFlow | Wide ResNet-50 | 0.962 | 0.986 | 0.962 | **1.000** | 0.999 | 0.993 | **1.0** | 0.893 | 0.945 | **1.0** | **0.995** | 0.924 | 0.908 | 0.897 | 0.943 | **0.984** |
| CFA | Wide ResNet-50 | 0.956 | 0.978 | 0.961 | 0.990 | 0.999 | 0.994 | 0.998 | 0.979 | 0.872 | 1.000 | **0.995** | **0.946** | 0.703 | **1.000** | 0.957 | 0.967 |
| CFA | ResNet-18 | 0.930 | 0.953 | 0.947 | 0.999 | 1.000 | **1.000** | 0.991 | 0.947 | 0.858 | 0.995 | 0.932 | 0.887 | 0.625 | 0.994 | 0.895 | 0.919 |
| PaDiM | Wide ResNet-50 | 0.950 | **0.995** | 0.942 | **1.000** | 0.974 | 0.993 | 0.999 | 0.878 | 0.927 | 0.964 | 0.989 | 0.939 | 0.845 | 0.942 | 0.976 | 0.882 |
| PaDiM | ResNet-18 | 0.891 | 0.945 | 0.857 | 0.982 | 0.950 | 0.976 | 0.994 | 0.844 | 0.901 | 0.750 | 0.961 | 0.863 | 0.759 | 0.889 | 0.920 | 0.780 |
| DFM | Wide ResNet-50 | 0.943 | 0.855 | 0.784 | 0.997 | 0.995 | 0.975 | 0.999 | 0.969 | 0.924 | 0.978 | 0.939 | 0.962 | 0.873 | 0.969 | 0.971 | 0.961 |
| DFM | ResNet-18 | 0.936 | 0.817 | 0.736 | 0.993 | 0.966 | 0.977 | 1.000 | 0.956 | 0.944 | 0.994 | 0.922 | 0.961 | 0.89 | 0.969 | 0.939 | 0.969 |
| STFPM | Wide ResNet-50 | 0.876 | 0.957 | 0.977 | 0.981 | 0.976 | 0.939 | 0.987 | 0.878 | 0.732 | 0.995 | 0.973 | 0.652 | 0.825 | 0.500 | 0.875 | 0.899 |
| STFPM | ResNet-18 | 0.893 | 0.954 | **0.982** | 0.989 | 0.949 | 0.961 | 0.979 | 0.838 | 0.759 | 0.999 | 0.956 | 0.705 | 0.835 | **0.997** | 0.853 | 0.645 |
| DFKDE | Wide ResNet-50 | 0.774 | 0.708 | 0.422 | 0.905 | 0.959 | 0.903 | 0.936 | 0.746 | 0.853 | 0.736 | 0.687 | 0.749 | 0.574 | 0.697 | 0.843 | 0.892 |
| DFKDE | ResNet-18 | 0.762 | 0.646 | 0.577 | 0.669 | 0.965 | 0.863 | 0.951 | 0.751 | 0.698 | 0.806 | 0.729 | 0.607 | 0.694 | 0.767 | 0.839 | 0.866 |
| GANomaly | | 0.421 | 0.203 | 0.404 | 0.413 | 0.408 | 0.744 | 0.251 | 0.457 | 0.682 | 0.537 | 0.270 | 0.472 | 0.231 | 0.372 | 0.440 | 0.434 |
| Model | | Avg | Carpet | Grid | Leather | Tile | Wood | Bottle | Cable | Capsule | Hazelnut | Metal Nut | Pill | Screw | Toothbrush | Transistor | Zipper |
| --------------- | -------------- | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :------: | :-------: | :-------: | :-------: | :--------: | :--------: | :-------: |
| **EfficientAD** | **PDN-S** | **0.982** | 0.982 | **1.000** | 0.997 | **1.000** | 0.986 | **1.000** | 0.952 | 0.950 | 0.952 | 0.979 | **0.987** | 0.960 | 0.997 | 0.999 | **0.994** |
| EfficientAD | PDN-M | 0.975 | 0.972 | 0.998 | **1.000** | 0.999 | 0.984 | 0.991 | 0.945 | 0.957 | 0.948 | 0.989 | 0.926 | **0.975** | **1.000** | 0.965 | 0.971 |
| PatchCore | Wide ResNet-50 | 0.980 | 0.984 | 0.959 | 1.000 | **1.000** | 0.989 | 1.000 | **0.990** | **0.982** | 1.000 | 0.994 | 0.924 | 0.960 | 0.933 | **1.000** | 0.982 |
| PatchCore | ResNet-18 | 0.973 | 0.970 | 0.947 | 1.000 | 0.997 | 0.997 | 1.000 | 0.986 | 0.965 | 1.000 | 0.991 | 0.916 | 0.943 | 0.931 | 0.996 | 0.953 |
| CFlow | Wide ResNet-50 | 0.962 | 0.986 | 0.962 | **1.000** | 0.999 | 0.993 | **1.0** | 0.893 | 0.945 | **1.0** | **0.995** | 0.924 | 0.908 | 0.897 | 0.943 | 0.984 |
| CFA | Wide ResNet-50 | 0.956 | 0.978 | 0.961 | 0.990 | 0.999 | 0.994 | 0.998 | 0.979 | 0.872 | 1.000 | **0.995** | 0.946 | 0.703 | **1.000** | 0.957 | 0.967 |
| CFA | ResNet-18 | 0.930 | 0.953 | 0.947 | 0.999 | 1.000 | **1.000** | 0.991 | 0.947 | 0.858 | 0.995 | 0.932 | 0.887 | 0.625 | 0.994 | 0.895 | 0.919 |
| PaDiM | Wide ResNet-50 | 0.950 | **0.995** | 0.942 | **1.000** | 0.974 | 0.993 | 0.999 | 0.878 | 0.927 | 0.964 | 0.989 | 0.939 | 0.845 | 0.942 | 0.976 | 0.882 |
| PaDiM | ResNet-18 | 0.891 | 0.945 | 0.857 | 0.982 | 0.950 | 0.976 | 0.994 | 0.844 | 0.901 | 0.750 | 0.961 | 0.863 | 0.759 | 0.889 | 0.920 | 0.780 |
| DFM | Wide ResNet-50 | 0.943 | 0.855 | 0.784 | 0.997 | 0.995 | 0.975 | 0.999 | 0.969 | 0.924 | 0.978 | 0.939 | 0.962 | 0.873 | 0.969 | 0.971 | 0.961 |
| DFM | ResNet-18 | 0.936 | 0.817 | 0.736 | 0.993 | 0.966 | 0.977 | 1.000 | 0.956 | 0.944 | 0.994 | 0.922 | 0.961 | 0.89 | 0.969 | 0.939 | 0.969 |
| STFPM | Wide ResNet-50 | 0.876 | 0.957 | 0.977 | 0.981 | 0.976 | 0.939 | 0.987 | 0.878 | 0.732 | 0.995 | 0.973 | 0.652 | 0.825 | 0.500 | 0.875 | 0.899 |
| STFPM | ResNet-18 | 0.893 | 0.954 | **0.982** | 0.989 | 0.949 | 0.961 | 0.979 | 0.838 | 0.759 | 0.999 | 0.956 | 0.705 | 0.835 | **0.997** | 0.853 | 0.645 |
| DFKDE | Wide ResNet-50 | 0.774 | 0.708 | 0.422 | 0.905 | 0.959 | 0.903 | 0.936 | 0.746 | 0.853 | 0.736 | 0.687 | 0.749 | 0.574 | 0.697 | 0.843 | 0.892 |
| DFKDE | ResNet-18 | 0.762 | 0.646 | 0.577 | 0.669 | 0.965 | 0.863 | 0.951 | 0.751 | 0.698 | 0.806 | 0.729 | 0.607 | 0.694 | 0.767 | 0.839 | 0.866 |
| GANomaly | | 0.421 | 0.203 | 0.404 | 0.413 | 0.408 | 0.744 | 0.251 | 0.457 | 0.682 | 0.537 | 0.270 | 0.472 | 0.231 | 0.372 | 0.440 | 0.434 |

## Pixel-Level AUC

| Model | | Avg | Carpet | Grid | Leather | Tile | Wood | Bottle | Cable | Capsule | Hazelnut | Metal Nut | Pill | Screw | Toothbrush | Transistor | Zipper |
| --------- | ------------------ | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :--------: | :--------: | :-------: |
| **CFA** | **Wide ResNet-50** | **0.983** | 0.980 | 0.954 | 0.989 | **0.985** | **0.974** | **0.989** | **0.988** | **0.989** | 0.985 | **0.992** | **0.988** | 0.979 | **0.991** | 0.977 | **0.990** |
| CFA | ResNet-18 | 0.979 | 0.970 | 0.973 | 0.992 | 0.978 | 0.964 | 0.986 | 0.984 | 0.987 | 0.987 | 0.981 | 0.981 | 0.973 | 0.990 | 0.964 | 0.978 |
| PatchCore | Wide ResNet-50 | 0.980 | 0.988 | 0.968 | 0.991 | 0.961 | 0.934 | 0.984 | **0.988** | 0.988 | 0.987 | 0.989 | 0.980 | **0.989** | 0.988 | **0.981** | 0.983 |
| PatchCore | ResNet-18 | 0.976 | 0.986 | 0.955 | 0.990 | 0.943 | 0.933 | 0.981 | 0.984 | 0.986 | 0.986 | 0.986 | 0.974 | 0.991 | 0.988 | 0.974 | 0.983 |
| CFlow | Wide ResNet-50 | 0.971 | 0.986 | 0.968 | 0.993 | 0.968 | 0.924 | 0.981 | 0.955 | 0.988 | **0.990** | 0.982 | 0.983 | 0.979 | 0.985 | 0.897 | 0.980 |
| PaDiM | Wide ResNet-50 | 0.979 | **0.991** | 0.970 | 0.993 | 0.955 | 0.957 | 0.985 | 0.970 | 0.988 | 0.985 | 0.982 | 0.966 | 0.988 | **0.991** | 0.976 | 0.986 |
| PaDiM | ResNet-18 | 0.968 | 0.984 | 0.918 | **0.994** | 0.934 | 0.947 | 0.983 | 0.965 | 0.984 | 0.978 | 0.970 | 0.957 | 0.978 | 0.988 | 0.968 | 0.979 |
| STFPM | Wide ResNet-50 | 0.903 | 0.987 | **0.989** | 0.980 | 0.966 | 0.956 | 0.966 | 0.913 | 0.956 | 0.974 | 0.961 | 0.946 | 0.988 | 0.178 | 0.807 | 0.980 |
| STFPM | ResNet-18 | 0.951 | 0.986 | 0.988 | 0.991 | 0.946 | 0.949 | 0.971 | 0.898 | 0.962 | 0.981 | 0.942 | 0.878 | 0.983 | 0.983 | 0.838 | 0.972 |
| Model | | Avg | Carpet | Grid | Leather | Tile | Wood | Bottle | Cable | Capsule | Hazelnut | Metal Nut | Pill | Screw | Toothbrush | Transistor | Zipper |
| ----------- | ------------------ | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :--------: | :--------: | :-------: |
| **CFA** | **Wide ResNet-50** | **0.983** | 0.980 | 0.954 | 0.989 | **0.985** | **0.974** | **0.989** | **0.988** | **0.989** | 0.985 | **0.992** | **0.988** | 0.979 | **0.991** | 0.977 | **0.990** |
| CFA | ResNet-18 | 0.979 | 0.970 | 0.973 | 0.992 | 0.978 | 0.964 | 0.986 | 0.984 | 0.987 | 0.987 | 0.981 | 0.981 | 0.973 | 0.990 | 0.964 | 0.978 |
| PatchCore | Wide ResNet-50 | 0.980 | 0.988 | 0.968 | 0.991 | 0.961 | 0.934 | 0.984 | **0.988** | 0.988 | 0.987 | 0.989 | 0.980 | **0.989** | 0.988 | **0.981** | 0.983 |
| PatchCore | ResNet-18 | 0.976 | 0.986 | 0.955 | 0.990 | 0.943 | 0.933 | 0.981 | 0.984 | 0.986 | 0.986 | 0.986 | 0.974 | 0.991 | 0.988 | 0.974 | 0.983 |
| CFlow | Wide ResNet-50 | 0.971 | 0.986 | 0.968 | 0.993 | 0.968 | 0.924 | 0.981 | 0.955 | 0.988 | **0.990** | 0.982 | 0.983 | 0.979 | 0.985 | 0.897 | 0.980 |
| PaDiM | Wide ResNet-50 | 0.979 | **0.991** | 0.970 | 0.993 | 0.955 | 0.957 | 0.985 | 0.970 | 0.988 | 0.985 | 0.982 | 0.966 | 0.988 | **0.991** | 0.976 | 0.986 |
| PaDiM | ResNet-18 | 0.968 | 0.984 | 0.918 | **0.994** | 0.934 | 0.947 | 0.983 | 0.965 | 0.984 | 0.978 | 0.970 | 0.957 | 0.978 | 0.988 | 0.968 | 0.979 |
| EfficientAD | PDN-S | 0.960 | 0.963 | 0.937 | 0.976 | 0.907 | 0.868 | 0.983 | 0.983 | 0.980 | 0.976 | 0.978 | 0.986 | 0.985 | 0.962 | 0.956 | 0.961 |
| EfficientAD | PDN-M | 0.957 | 0.948 | 0.937 | 0.976 | 0.906 | 0.867 | 0.976 | 0.986 | 0.957 | 0.977 | 0.984 | 0.978 | 0.986 | 0.964 | 0.947 | 0.960 |
| STFPM | Wide ResNet-50 | 0.903 | 0.987 | **0.989** | 0.980 | 0.966 | 0.956 | 0.966 | 0.913 | 0.956 | 0.974 | 0.961 | 0.946 | 0.988 | 0.178 | 0.807 | 0.980 |
| STFPM | ResNet-18 | 0.951 | 0.986 | 0.988 | 0.991 | 0.946 | 0.949 | 0.971 | 0.898 | 0.962 | 0.981 | 0.942 | 0.878 | 0.983 | 0.983 | 0.838 | 0.972 |

## Image F1 Score

| Model | | Avg | Carpet | Grid | Leather | Tile | Wood | Bottle | Cable | Capsule | Hazelnut | Metal Nut | Pill | Screw | Toothbrush | Transistor | Zipper |
| ------------- | ------------------ | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :-------: | :--------: | :--------: | :-------: |
| **PatchCore** | **Wide ResNet-50** | **0.976** | 0.971 | 0.974 | **1.000** | **1.000** | 0.967 | **1.000** | 0.968 | **0.982** | **1.000** | 0.984 | 0.940 | 0.943 | 0.938 | **1.000** | **0.979** |
| PatchCore | ResNet-18 | 0.970 | 0.949 | 0.946 | **1.000** | 0.98 | 0.992 | **1.000** | **0.978** | 0.969 | **1.000** | **0.989** | 0.940 | 0.932 | 0.935 | 0.974 | 0.967 |
| EfficientAD | PDN-S | 0.970 | 0.966 | **1.000** | 0.995 | **1.000** | 0.975 | **1.000** | 0.907 | 0.956 | 0.897 | 0.978 | 0.982 | 0.944 | 0.984 | 0.988 | 0.983 |
| EfficientAD | PDN-M | 0.966 | 0.977 | 0.991 | **1.000** | 0.994 | 0.967 | 0.984 | 0.922 | 0.969 | 0.884 | 0.984 | 0.952 | 0.955 | 1.000 | 0.929 | 0.979 |
| CFA | Wide ResNet-50 | 0.962 | 0.961 | 0.957 | 0.995 | 0.994 | 0.983 | 0.984 | 0.962 | 0.946 | **1.000** | 0.984 | **0.952** | 0.855 | **1.000** | 0.907 | 0.975 |
| CFA | ResNet-18 | 0.946 | 0.956 | 0.946 | 0.973 | **1.000** | **1.000** | 0.983 | 0.907 | 0.938 | 0.996 | 0.958 | 0.920 | 0.858 | 0.984 | 0.795 | 0.949 |
| CFlow | Wide ResNet-50 | 0.944 | 0.972 | 0.932 | **1.000** | 0.988 | 0.967 | **1.000** | 0.832 | 0.939 | **1.000** | 0.979 | 0.924 | **0.971** | 0.870 | 0.818 | 0.967 |
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16 changes: 9 additions & 7 deletions src/anomalib/models/efficientad/README.md
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Expand Up @@ -14,7 +14,7 @@ Features are extracted from a pre-trained teacher model and used to train a stud

### Anomaly Detection

Anomalies are detected as the difference in output feature maps between the student model and the autoencoder model.
Anomalies are detected as the difference in output feature maps between the teacher model, the student model and the autoencoder model.

## Usage

Expand All @@ -28,12 +28,14 @@ All results gathered with seed `42`.

### Image-Level AUC

| | Avg | Carpet | Grid | Leather | Tile | Wood | Bottle | Cable | Capsule | Hazelnut | Metal Nut | Pill | Screw | Toothbrush | Transistor | Zipper |
| ------------------------ | :---: | :----: | :---: | :-----: | :---: | :---: | :----: | :---: | :-----: | :------: | :-------: | :---: | :---: | :--------: | :--------: | :----: |
| Distilled Teacher Medium | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| | Avg | Carpet | Grid | Leather | Tile | Wood | Bottle | Cable | Capsule | Hazelnut | Metal Nut | Pill | Screw | Toothbrush | Transistor | Zipper |
| ------------- | :---: | :----: | :---: | :-----: | :---: | :---: | :----: | :---: | :-----: | :------: | :-------: | :---: | :---: | :--------: | :--------: | :----: |
| EfficientAD-S | 0.982 | 0.982 | 1.000 | 0.997 | 1.000 | 0.986 | 1.000 | 0.952 | 0.950 | 0.952 | 0.979 | 0.987 | 0.960 | 0.997 | 0.999 | 0.994 |
| EfficientAD-M | 0.975 | 0.972 | 0.998 | 1.000 | 0.999 | 0.984 | 0.991 | 0.945 | 0.957 | 0.948 | 0.989 | 0.926 | 0.975 | 1.000 | 0.965 | 0.971 |

### Image F1 Score

| | Avg | Carpet | Grid | Leather | Tile | Wood | Bottle | Cable | Capsule | Hazelnut | Metal Nut | Pill | Screw | Toothbrush | Transistor | Zipper |
| ------------------------ | :---: | :----: | :---: | :-----: | :---: | :---: | :----: | :---: | :-----: | :------: | :-------: | :---: | :---: | :--------: | :--------: | :----: |
| Distilled Teacher Medium | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| | Avg | Carpet | Grid | Leather | Tile | Wood | Bottle | Cable | Capsule | Hazelnut | Metal Nut | Pill | Screw | Toothbrush | Transistor | Zipper |
| ------------- | :---: | :----: | :---: | :-----: | :---: | :---: | :----: | :---: | :-----: | :------: | :-------: | :---: | :---: | :--------: | :--------: | :----: |
| EfficientAD-S | 0.970 | 0.966 | 1.000 | 0.995 | 1.000 | 0.975 | 1.000 | 0.907 | 0.956 | 0.897 | 0.978 | 0.982 | 0.944 | 0.984 | 0.988 | 0.983 |
| EfficientAD-M | 0.966 | 0.977 | 0.991 | 1.000 | 0.994 | 0.967 | 0.984 | 0.922 | 0.969 | 0.884 | 0.984 | 0.952 | 0.955 | 1.000 | 0.929 | 0.979 |
7 changes: 4 additions & 3 deletions src/anomalib/models/efficientad/config.yaml
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Expand Up @@ -21,10 +21,11 @@ dataset:
model:
name: efficientad
teacher_out_channels: 384
model_size: medium # options: [small, medium]
model_size: small # options: [small, medium]
lr: 0.0001
weight_decay: 0.00001
padding: true
padding: false
pad_maps: true # relevant for "padding: false", see EfficientAD in lightning_model.py
# generic params
normalization_method: min_max # options: [null, min_max, cdf]

Expand Down Expand Up @@ -73,7 +74,7 @@ trainer:
accumulate_grad_batches: 1
max_epochs: 200
min_epochs: null
max_steps: -1
max_steps: 70000
min_steps: null
max_time: null
limit_train_batches: 1.0
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