Merge pull request #86 from orobix/feat/anomalib_upgrade_127

Feat/anomalib upgrade 127

CHANGELOG.md

@@ -2,6 +2,12 @@
 # Changelog
 All notable changes to this project will be documented in this file.
 
+### [1.3.8]
+
+#### Updated
+
+- Update anomalib to [v0.7.0+obx.1.2.7] (Efficient_ad pre_padding and smaller memory footprint during training)
+
 ### [1.3.7]
 
 #### Fixed

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "quadra"
-version = "1.3.7"
+version = "1.3.8"
 description = "Deep Learning experiment orchestration library"
 authors = [
   { name = "Alessandro Polidori", email = "[email protected]" },
@@ -66,7 +66,7 @@ dependencies = [
   "h5py==3.8.*",
   "timm==0.6.12", # required by smp
   "segmentation-models-pytorch==0.3.2",
-  "anomalib@git+https://github.com/orobix/[email protected]+obx.1.2.6",
+  "anomalib@git+https://github.com/orobix/[email protected]+obx.1.2.7",
   "xxhash==3.2.*",
 ]
 
@@ -121,7 +121,7 @@ repository = "https://github.com/orobix/quadra"
 
 # Adapted from https://realpython.com/pypi-publish-python-package/#version-your-package
 [tool.bumpver]
-current_version = "1.3.7"
+current_version = "1.3.8"
 version_pattern = "MAJOR.MINOR.PATCH"
 commit_message = "build: Bump version {old_version} -> {new_version}"
 commit = true

quadra/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "1.3.7"
+__version__ = "1.3.8"
 
 
 def get_version():

quadra/configs/model/anomalib/efficient_ad.yaml

@@ -10,6 +10,7 @@ model:
   weight_decay: 0.00001
   padding: false
   pad_maps: true # relevant for "padding: false", see EfficientAd in lightning_model.py
+  pre_padding: true # set True to avoid anomaly maps' dead frame issue
   # generic params
   normalization_method: min_max # options: [null, min_max, cdf]
   train_batch_size: 1 # ${datamodule.train_batch_size}