Feature/remove opencv python (#28)

* build: Refactor dependencies to avoid having opencv-python as a requirement

* build: Update version and changelog

CHANGELOG.md

@@ -4,6 +4,12 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
 
+## [v0.7.0.dev141]
+
+### Updated
+
+- Remove imgaug from mandatory dependencies to remove the necessity of installing opencv-python which conflicts with the headless version on Windows.
+
 ## [v0.7.0.dev140]
 
 ### Updated

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "anomalib-orobix"
-version = "0.7.0.dev140"
+version = "0.7.0.dev141"
 description = "Orobix anomalib fork"
 authors = [
     "Intel OpenVINO <[email protected]>",
@@ -26,10 +26,15 @@ omegaconf = "~2.3"
 freia = "~0.2"
 wandb = "0.12.17"
 gradio = "3.0.2"
-imgaug = "0.4.0"
 line-profiler = "3.5.1"
 jsonargparse = { version = "~4.3.0", extras = ["signatures"] }
 
+imgaug = { version = "0.4.0", optional = true }
+
+[tool.poetry.extras]
+# We make imgaug optional as it requires opencv-python instead of the headless version
+augmentation = ["imgaug"]
+
 # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
 # BLACK CONFIGURATION                                                         #
 [tool.black]

src/anomalib/__init__.py

@@ -4,6 +4,6 @@
 # SPDX-License-Identifier: Apache-2.0
 
 anomalib_version = "0.7.0"
-custom_orobix_version = "1.4.0"
+custom_orobix_version = "1.4.1"
 
 __version__ = f"{anomalib_version}.dev{custom_orobix_version.replace('.', '')}"

src/anomalib/data/utils/augmenter.py

@@ -9,22 +9,31 @@
 # Copyright (C) 2022 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-
 from __future__ import annotations
 
 import glob
 import math
 import random
+from typing import TYPE_CHECKING
 
 import cv2
-import imgaug.augmenters as iaa
 import numpy as np
 import torch
 from torch import Tensor
 from torchvision.datasets.folder import IMG_EXTENSIONS
 
 from anomalib.data.utils.generators.perlin import random_2d_perlin
 
+try:
+    import imgaug.augmenters as iaa
+
+    IMGAUG_AVAILABLE = True
+except ImportError:
+    IMGAUG_AVAILABLE = False
+
+if TYPE_CHECKING:
+    import imgaug.augmenters as iaa
+
 
 def nextpow2(value):
     """Returns the smallest power of 2 greater than or equal to the input value."""
@@ -47,6 +56,10 @@ def __init__(
         p_anomalous: float = 0.5,
         beta: float | tuple[float, float] = (0.2, 1.0),
     ):
+        if not IMGAUG_AVAILABLE:
+            raise ImportError(
+                "imgaug is not installed, anomalib requires the augmentation extra to be installed to use the Augmenter class"
+            )
         self.p_anomalous = p_anomalous
         self.beta = beta