diff --git a/src/anomalib/models/image/cfa/README.md b/src/anomalib/models/image/cfa/README.md index d174bfe26f..0066b801f0 100755 --- a/src/anomalib/models/image/cfa/README.md +++ b/src/anomalib/models/image/cfa/README.md @@ -16,7 +16,7 @@ Coupled-hypersphere-based Feature Adaptation (CFA) localizes anomalies using fea ## Usage -`python tools/train.py --model cfa` +`anomalib train --model Cfa --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/cflow/README.md b/src/anomalib/models/image/cflow/README.md index b9345e3e99..2ecf9353fc 100644 --- a/src/anomalib/models/image/cflow/README.md +++ b/src/anomalib/models/image/cflow/README.md @@ -14,7 +14,7 @@ CFLOW model is based on a conditional normalizing flow framework adopted for ano ## Usage -`python tools/train.py --model cflow` +`anomalib train --model Cflow --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/csflow/README.md b/src/anomalib/models/image/csflow/README.md index ab979ddfee..6b0dfc3cec 100644 --- a/src/anomalib/models/image/csflow/README.md +++ b/src/anomalib/models/image/csflow/README.md @@ -31,7 +31,7 @@ The anomaly score for each local position $(i,j)$ of the feature map $y^s$ at sc ## Usage -`python tools/train.py --model cs_flow` +`anomalib train --model Csflow --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/dfkde/README.md b/src/anomalib/models/image/dfkde/README.md index 17e0d5483f..828863f429 100644 --- a/src/anomalib/models/image/dfkde/README.md +++ b/src/anomalib/models/image/dfkde/README.md @@ -16,7 +16,7 @@ In the anomaly classification stage, the features are first reduced to the first ## Usage -`python tools/train.py --model dfkde` +`anomalib train --model Dfkde --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/dfm/README.md b/src/anomalib/models/image/dfm/README.md index e658b0c383..88dd423f7f 100644 --- a/src/anomalib/models/image/dfm/README.md +++ b/src/anomalib/models/image/dfm/README.md @@ -18,7 +18,7 @@ In the anomaly classification stage, class-conditional PCA transformations and G ## Usage -`python tools/train.py --model dfm` +`anomalib train --model Dfm --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/draem/README.md b/src/anomalib/models/image/draem/README.md index 007faa0220..0fa650bcc0 100644 --- a/src/anomalib/models/image/draem/README.md +++ b/src/anomalib/models/image/draem/README.md @@ -16,7 +16,7 @@ For optimal results, DRAEM requires specifying the path to a folder of image dat ## Usage -`python tools/train.py --model draem` +`anomalib train --model Draem --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/dsr/README.md b/src/anomalib/models/image/dsr/README.md index fcf330817d..35278bfaf7 100644 --- a/src/anomalib/models/image/dsr/README.md +++ b/src/anomalib/models/image/dsr/README.md @@ -14,7 +14,7 @@ DSR is a quantized-feature based algorithm that consists of an autoencoder with ## Usage -`python tools/train.py --model dsr` +`anomalib train --model Dsr --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/efficient_ad/README.md b/src/anomalib/models/image/efficient_ad/README.md index 67da16fd95..3344732ea6 100644 --- a/src/anomalib/models/image/efficient_ad/README.md +++ b/src/anomalib/models/image/efficient_ad/README.md @@ -18,7 +18,7 @@ Anomalies are detected as the difference in output feature maps between the teac ## Usage -`anomalib train --model EfficientAd --data anomalib.data.MVTec --data.train_batch_size 1` +`anomalib train --model EfficientAd --data anomalib.data.MVTec --data.category --data.train_batch_size 1` ## Benchmark diff --git a/src/anomalib/models/image/fastflow/README.md b/src/anomalib/models/image/fastflow/README.md index 9dfc7dda65..0ce47d9a44 100644 --- a/src/anomalib/models/image/fastflow/README.md +++ b/src/anomalib/models/image/fastflow/README.md @@ -14,7 +14,7 @@ FastFlow is a two-dimensional normalizing flow-based probability distribution es ## Usage -`python tools/train.py --model fastflow` +`anomalib train --model Fastflow --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/ganomaly/README.md b/src/anomalib/models/image/ganomaly/README.md index 9ffa5376f3..df3a3f2acd 100644 --- a/src/anomalib/models/image/ganomaly/README.md +++ b/src/anomalib/models/image/ganomaly/README.md @@ -16,7 +16,7 @@ The key idea here is that, during inference, when an anomalous image is passed t ## Usage -`python tools/train.py --model ganomaly` +`anomalib train --model Ganomaly --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/padim/README.md b/src/anomalib/models/image/padim/README.md index 35aaeec995..09043e09c5 100644 --- a/src/anomalib/models/image/padim/README.md +++ b/src/anomalib/models/image/padim/README.md @@ -16,7 +16,7 @@ During inference, Mahalanobis distance is used to score each patch position of t ## Usage -`python tools/train.py --model padim` +`anomalib train --model Padim --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/patchcore/README.md b/src/anomalib/models/image/patchcore/README.md index 9d49ffd6f8..03a4c54d90 100644 --- a/src/anomalib/models/image/patchcore/README.md +++ b/src/anomalib/models/image/patchcore/README.md @@ -16,7 +16,7 @@ During inference this memory bank is coreset subsampled. Coreset subsampling gen ## Usage -`python tools/train.py --model patchcore` +`anomalib train --model Patchcore --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/reverse_distillation/README.md b/src/anomalib/models/image/reverse_distillation/README.md index 8b22685f41..61a6e8c672 100644 --- a/src/anomalib/models/image/reverse_distillation/README.md +++ b/src/anomalib/models/image/reverse_distillation/README.md @@ -16,7 +16,7 @@ During testing, a similar step is followed but this time the cosine distance bet ## Usage -`python tools/train.py --model reverse_distillation` +`anomalib train --model ReverseDistillation --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/rkde/README.md b/src/anomalib/models/image/rkde/README.md index 17beaf2717..083c209208 100644 --- a/src/anomalib/models/image/rkde/README.md +++ b/src/anomalib/models/image/rkde/README.md @@ -27,7 +27,7 @@ Before fitting the KDE model, the dimensionality of the feature vectors is reduc ## Usage and parameters -`python tools/train.py --model rkde` +`anomalib train --model Rkde --data MVTec --data.category ` | Parameter | Affects Stage | Description | Type | Options | | :----------------------- | :----------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :----- | :------------ | diff --git a/src/anomalib/models/image/stfpm/README.md b/src/anomalib/models/image/stfpm/README.md index 6b83dad775..0b14d343ef 100644 --- a/src/anomalib/models/image/stfpm/README.md +++ b/src/anomalib/models/image/stfpm/README.md @@ -16,7 +16,7 @@ During inference, the feature pyramids of teacher and student networks are compa ## Usage -`python tools/train.py --model stfpm` +`anomalib train --model Stfpm --data MVTec --data.category ` ## Benchmark diff --git a/src/anomalib/models/image/uflow/README.md b/src/anomalib/models/image/uflow/README.md index 455bee1eb2..45ac85a7fd 100644 --- a/src/anomalib/models/image/uflow/README.md +++ b/src/anomalib/models/image/uflow/README.md @@ -52,7 +52,7 @@ In order to obtain the same exact results, although the architecture parameters ## Usage -`python tools/train.py --model uflow` +`anomalib train --model Uflow --data MVTec --data.category ` ## Download data