Fix the CI (#2178)

* Autoupdate pre-commit

* update pyproject.toml to require setuptools>=42,<70.0.0

* Fix packaging in AiVad

* Exit the pre-merge tests as soon as there is 1 failed test.

* Add upper-bound to open-clip-torch as it causes onnx export to fail

Author: samet-akcay

.pre-commit-config.yaml

@@ -3,7 +3,7 @@ default_language_version:
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0
+    rev: v4.6.0
     hooks:
       # list of supported hooks: https://pre-commit.com/hooks.html
       - id: trailing-whitespace
@@ -15,7 +15,7 @@ repos:
 
   # Ruff version.
   - repo: https://github.com/charliermarsh/ruff-pre-commit
-    rev: "v0.1.5"
+    rev: "v0.5.1"
     hooks:
       # Run the linter.
       - id: ruff
@@ -27,35 +27,35 @@ repos:
 
   # python static type checking
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: "v1.7.0"
+    rev: "v1.10.1"
     hooks:
       - id: mypy
         additional_dependencies: [types-PyYAML, types-setuptools]
         exclude: "tests"
 
   # add bandit for security checks
   - repo: https://github.com/PyCQA/bandit
-    rev: 1.7.7
+    rev: 1.7.9
     hooks:
       - id: bandit
         args: ["-c", "pyproject.toml"]
         additional_dependencies: ["bandit[toml]"]
 
   # notebooks.
   - repo: https://github.com/nbQA-dev/nbQA
-    rev: 1.7.0
+    rev: 1.8.5
     hooks:
       - id: nbqa-ruff
         # Ignore unsorted imports. This is because jupyter notebooks can import
         # packages in a different order than the rest of the codebase.
         args: ["--ignore=D100,D407,I001"]
 
   - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v3.1.0
+    rev: v4.0.0-alpha.8
     hooks:
       - id: prettier
 
   - repo: https://github.com/igorshubovych/markdownlint-cli
-    rev: v0.37.0
+    rev: v0.41.0
     hooks:
       - id: markdownlint

MAINTAINERS.md

@@ -28,7 +28,7 @@ We welcome contributions from everyone. If you're interested in helping out, ple
 Here is a list of contributors of Anomalib:
 
 <a href="https://github.com/openvinotoolkit/anomalib/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=openvinotoolkit/anomalib" />
+  <img src="https://contrib.rocks/image?repo=openvinotoolkit/anomalib" alt="Contributors to openvinotoolkit/anomalib" />
 </a>
 
 ## 🙏 Acknowledgements

README.md

@@ -1,6 +1,6 @@
 <div align="center">
 
-<img src="https://raw.githubusercontent.com/openvinotoolkit/anomalib/main/docs/source/_static/images/logos/anomalib-wide-blue.png" width="600px">
+<img src="https://raw.githubusercontent.com/openvinotoolkit/anomalib/main/docs/source/_static/images/logos/anomalib-wide-blue.png" width="600px" alt="Anomalib Logo">
 
 **A library for benchmarking, developing and deploying deep learning anomaly detection algorithms**
 
@@ -30,7 +30,7 @@
 Anomalib is a deep learning library that aims to collect state-of-the-art anomaly detection algorithms for benchmarking on both public and private datasets. Anomalib provides several ready-to-use implementations of anomaly detection algorithms described in the recent literature, as well as a set of tools that facilitate the development and implementation of custom models. The library has a strong focus on visual anomaly detection, where the goal of the algorithm is to detect and/or localize anomalies within images or videos in a dataset. Anomalib is constantly updated with new algorithms and training/inference extensions, so keep checking!
 
 <p align="center">
-  <img src="https://raw.githubusercontent.com/openvinotoolkit/anomalib/main/docs/source/_static/images/readme.png" width="1000">
+  <img src="https://raw.githubusercontent.com/openvinotoolkit/anomalib/main/docs/source/_static/images/readme.png" width="1000" alt="A prediction made by anomalib">
 </p>
 
 ## Key features
@@ -304,5 +304,5 @@ For those who would like to contribute to the library, see [CONTRIBUTING.md](CON
 Thank you to all of the people who have already made a contribution - we appreciate your support!
 
 <a href="https://github.com/openvinotoolkit/anomalib/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=openvinotoolkit/anomalib" />
+  <img src="https://contrib.rocks/image?repo=openvinotoolkit/anomalib" alt="Contributors to openvinotoolkit/anomalib" />
 </a>

notebooks/500_use_cases/501_dobot/README.md

@@ -1,7 +1,7 @@
 # Dobot Use Case Tutorial
 
-| Notebook                 |                                                                                                                                                                                                                                                       |     |
-| ------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --- |
+| Notebook                 | Link                                                                                                                                                                                                                                                   |
+| ------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
 | Training a Model         | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/anomalib/blob/main/notebooks/500_use_cases/501_dobot/501a_training_a_model_with_cubes_from_a_robotic_arm.ipynb) |
 | Inference with the Model | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/anomalib/blob/main/notebooks/500_use_cases/501_dobot/501b_inference_with_a_robotic_arm.ipynb)                   |
 

pyproject.toml

@@ -50,7 +50,10 @@ core = [
     "lightning>=2.2",
     "torch>=2",
     "torchmetrics>=1.3.2",
-    "open-clip-torch>=2.23.0",
+    # NOTE: open-clip-torch throws the following error on v2.26.1
+    #   torch.onnx.errors.UnsupportedOperatorError: Exporting the operator
+    #   'aten::_native_multi_head_attention' to ONNX opset version 14 is not supported
+    "open-clip-torch>=2.23.0,<2.26.1",
 ]
 openvino = ["openvino>=2024.0", "nncf>=2.10.0", "onnx>=1.16.0"]
 loggers = [

src/anomalib/callbacks/__init__.py

@@ -3,7 +3,6 @@
 # Copyright (C) 2022 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-
 import logging
 from importlib import import_module
 from pathlib import Path

src/anomalib/callbacks/metrics.py

@@ -3,7 +3,6 @@
 # Copyright (C) 2023 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-
 import logging
 from enum import Enum
 from typing import Any

src/anomalib/callbacks/model_loader.py

@@ -3,7 +3,6 @@
 # Copyright (C) 2022 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-
 import logging
 
 import torch

src/anomalib/callbacks/nncf/callback.py

@@ -3,7 +3,6 @@
 # Copyright (C) 2022 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-
 import subprocess  # nosec B404
 from pathlib import Path
 from typing import TYPE_CHECKING, Any

src/anomalib/callbacks/nncf/utils.py

@@ -3,7 +3,6 @@
 # Copyright (C) 2022 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-
 import logging
 from copy import copy
 from typing import TYPE_CHECKING, Any