diff --git a/.github/workflows/.github-quality.yml b/.github/workflows/.github-quality.yml index d6c9139a..6dfc7939 100644 --- a/.github/workflows/.github-quality.yml +++ b/.github/workflows/.github-quality.yml @@ -56,6 +56,36 @@ jobs: run: poetry run mypy --config-file pyproject.toml src/ tests/ shell: bash + pyright: + runs-on: ubuntu-latest + container: python:3.9 + steps: + - name: Install Git LFS + run: | + apt-get -qq update + apt-get -qq install -y git-lfs + shell: bash + # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it + - uses: actions/checkout@v4 + with: + fetch-depth: 0 + lfs: true + # Cache local python environment artifacts for the current python version + # and poetry lockfile hash. + - uses: actions/cache@v4 + id: env-cache + with: + # Confirmed that the `.local` directory doesn't exist until the + # `pip install --user` is invoked below, so we can be confident that + # only our python stuff is being captured in this cache (intentional). + path: ~/.cache + key: python-3.9-${{ hashFiles('poetry.lock') }} + - name: Setup Environment + uses: ./.github/actions/quality-stage + - name: Typecheck with pyright + run: poetry run pyright + shell: bash + ruff-lint: runs-on: ubuntu-latest container: python:3.9 diff --git a/.gitlab-ci/.gitlab-test.yml b/.gitlab-ci/.gitlab-test.yml index 90ac35d3..32def09c 100644 --- a/.gitlab-ci/.gitlab-test.yml +++ b/.gitlab-ci/.gitlab-test.yml @@ -28,6 +28,7 @@ notebooks: "SimilarityScoring.ipynb", "SuperPixelSaliency.ipynb", "VIAME_OcclusionSaliency.ipynb", + "MC_RISE.ipynb", # # Shared memory issue on GitLab # "SerializedDetectionSaliency.ipynb", # Model comparison example is excluded due to computational complexity diff --git a/docs/release_notes.rst b/docs/release_notes.rst index 70f78514..5dd5455d 100644 --- a/docs/release_notes.rst +++ b/docs/release_notes.rst @@ -21,3 +21,4 @@ Release Notes release_notes/v0.9.2 release_notes/v0.10.0 release_notes/v0.11.0 + release_notes/v0.12.0 diff --git a/docs/release_notes/v0.12.0.rst b/docs/release_notes/v0.12.0.rst new file mode 100644 index 00000000..9d0fe7a9 --- /dev/null +++ b/docs/release_notes/v0.12.0.rst @@ -0,0 +1,15 @@ +v0.12.0 +======= + +Bug fix for ``MC-RISE`` when threading is utilized, plus exemplar notebook demonstrating its use. + +Updates / New Features +---------------------- + +Examples + +* Added the ``MC-RISE`` example notebook that demonstrates the MC-RISE saliency + algorithm on a sample image from the GTSRB dataset. + +Fixes +----- diff --git a/examples/MC_RISE.ipynb b/examples/MC_RISE.ipynb new file mode 100644 index 00000000..6a19d0f4 --- /dev/null +++ b/examples/MC_RISE.ipynb @@ -0,0 +1,376 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Introduction\n", + "\n", + "### Table of Contents\n", + "* [Set Up Environment](#set-up-environment)\n", + "* [The Test Image](#the-test-image)\n", + "* [The \"Application\"](#the-application)\n", + "* [Black-Box Classifier](#black-box-classifier)\n", + "* [MC-RISE Black-Box Saliency Algorithm](#mc-rise-black-box-saliency-algorithm)\n", + "* [Run the \"Application\"](#run-the-application)\n", + "\n", + "### Miscellaneous\n", + "License for test image used may be found in 'COCO-LICENSE.txt'.\n", + "\n", + "#### References\n", + "1. Hatakeyama, Y., Sakuma, H., Konishi, Y., & Suenaga, K. (2020). Visualizing color-wise saliency of black-box image classification models. In Proceedings of the Asian Conference on Computer Vision.\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Set Up Environment\n", + "**Note for Colab users**: after setting up the environment, you may need to \"Restart Runtime\" in order to resolve package version conflicts (see the [README](https://github.com/XAITK/xaitk-saliency/blob/master/examples/README.md#run-the-notebooks-from-colab) for more info)." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys # noqa: F401\n", + "\n", + "!{sys.executable} -m pip install -qU pip\n", + "!{sys.executable} -m pip install -q xaitk-saliency\n", + "!{sys.executable} -m pip install -q \"torch>=1.9.0\"\n", + "!{sys.executable} -m pip install -q \"torchvision>=0.10.0\"\n", + "!{sys.executable} -m pip install -q transformers" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# The Test Image\n", + "We will test this application on the following image.\n", + "We know that this image contains the [GTSRB dataset](https://benchmark.ini.rub.de/) class: ``Stop``." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "image/jpeg": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import urllib.request\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import PIL.Image\n", + "\n", + "# Use JPEG format for inline visualizations here.\n", + "%config InlineBackend.figure_format = \"jpeg\"\n", + "\n", + "test_image_filename = \"data/gtsrb_sample_img.png\"\n", + "urllib.request.urlretrieve(\n", + " \"https://data.kitware.com/api/v1/file/6760a0a7290777363f95bff2/download\",\n", + " test_image_filename,\n", + ")\n", + "plt.figure(figsize=(12, 8))\n", + "plt.axis(\"off\")\n", + "_ = plt.imshow(PIL.Image.open(test_image_filename))" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# The \"Application\"\n", + "The xaitk-saliency package provides a relatively high-level API interface for visual saliency map generation.\n", + "This interface defines the following input requirements:\n", + " * a reference image\n", + " * a black-box classifier that performs inference over images\n", + "\n", + "As mentioned above, our high-level API accepts black-box classifiers in terms of the `ClassifyImage` interface." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from collections.abc import Sequence\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import PIL.Image\n", + "from smqtk_classifier import ClassifyImage\n", + "\n", + "from xaitk_saliency import GenerateImageClassifierBlackboxSaliency\n", + "\n", + "\n", + "def app(\n", + " image_filepath: str,\n", + " # Assuming outputs `nClass` length arrays.\n", + " blackbox_classify: ClassifyImage,\n", + " gen_bb_sal: GenerateImageClassifierBlackboxSaliency,\n", + " colors: Sequence[str],\n", + ") -> None:\n", + " \"\"\"Method to run the BlackBox Saliency algorithm\"\"\"\n", + " # Load the image\n", + " ref_image = np.asarray(PIL.Image.open(image_filepath))\n", + "\n", + " sal_maps = gen_bb_sal(ref_image, blackbox_classify)\n", + " print(f\"Saliency maps: {sal_maps.shape}\")\n", + " visualize_saliency(ref_image, sal_maps, colors)\n", + "\n", + "\n", + "def visualize_saliency(ref_image: np.ndarray, sal_maps: np.ndarray, colors: Sequence[str]) -> None:\n", + " \"\"\"Method to visualize positive and negative saliency maps\"\"\"\n", + " # Visualize the saliency heat-maps\n", + " plt.figure(figsize=(3, 3))\n", + " plt.imshow(ref_image)\n", + " plt.axis(\"off\")\n", + " plt.title(\"Test Image\")\n", + " plt.show()\n", + "\n", + " sub_plot_ind = sal_maps.shape[1]\n", + " plt.figure(figsize=(20, 8 * sub_plot_ind))\n", + "\n", + " # Some magic numbers here to get colorbar to be roughly the same height\n", + " # as the plotted image.\n", + " colorbar_kwargs = {\n", + " \"fraction\": 0.046 * (ref_image.shape[0] / ref_image.shape[1]),\n", + " \"pad\": 0.04,\n", + " }\n", + "\n", + " n_colors = len(colors)\n", + " for i in range(sal_maps.shape[1]):\n", + " for c_idx, c_name in enumerate(colors):\n", + " class_sal_map = sal_maps[c_idx][i, :, :]\n", + " print(f\"Class {i} {c_name} saliency map range: [{class_sal_map.min()}, {class_sal_map.max()}]\")\n", + "\n", + " # Positive half saliency\n", + " plt.subplot(2 * sub_plot_ind, n_colors, (i * 2) * n_colors + c_idx + 1)\n", + " plt.imshow(ref_image, alpha=0.7)\n", + " plt.imshow(np.clip(class_sal_map, 0, 1), cmap=\"Reds\", alpha=0.5)\n", + " plt.clim(0, 1)\n", + " plt.colorbar(**colorbar_kwargs)\n", + " plt.title(f\"Class #{i+1} +ve sal ({c_name})\")\n", + " plt.axis(\"off\")\n", + "\n", + " # Negative half saliency\n", + " plt.subplot(2 * sub_plot_ind, n_colors, (i * 2 + 1) * n_colors + c_idx + 1)\n", + " plt.imshow(ref_image, alpha=0.7)\n", + " plt.imshow(np.clip(class_sal_map, -1, 0), cmap=\"Blues_r\", alpha=0.5)\n", + " plt.clim(-1, 0)\n", + " plt.colorbar(**colorbar_kwargs)\n", + " plt.title(f\"Class #{i+1} -ve sal ({c_name})\")\n", + " plt.axis(\"off\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Black-Box Classifier\n", + "In this example, we will use a basic Huggingface transformers-based, pretrained [CLIPViTModel](https://huggingface.co/tanganke/clip-vit-base-patch32_gtsrb) and use its activation function outpu as classification confidences. Since this model normally outputs 43 classes we will constrain the output to the class (``Stop`` sign) that is relevant for our test image." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/data/barry.ravichandran/envs/xaitk-saliency/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from collections.abc import Iterator\n", + "\n", + "import torch\n", + "from smqtk_classifier.interfaces.classification_element import CLASSIFICATION_DICT_T\n", + "from transformers import ViTForImageClassification, ViTImageProcessor\n", + "\n", + "CUDA_AVAILABLE = torch.cuda.is_available()\n", + "\n", + "# Load model directly\n", + "model_name = \"cvetanovskaa/vit-base-patch16-224-in21k-gtsrb-tuned\"\n", + "model = ViTForImageClassification.from_pretrained(model_name)\n", + "processor = ViTImageProcessor.from_pretrained(model_name)\n", + "\n", + "device = torch.device(\"cpu\")\n", + "if CUDA_AVAILABLE:\n", + " device = torch.device(\"cuda:0\")\n", + "\n", + "model = model.to(device)\n", + "\n", + "# Grabbing the class labels associated with this model.\n", + "categories = [labels for k, labels in model.config.id2label.items()]\n", + "\n", + "# For this test, we will use an image with a stop sign in it.\n", + "# Let's only consider the saliency of that class' predictions.\n", + "sal_class_labels = [\"Stop\"]\n", + "sal_class_idxs = [categories.index(lbl) for lbl in sal_class_labels]\n", + "\n", + "\n", + "class CLIPViTModel(ClassifyImage):\n", + " \"\"\"Blackbox model to output the two focus classes.\"\"\"\n", + "\n", + " def get_labels(self) -> list[str]:\n", + " \"\"\"Returns class label names\"\"\"\n", + " return sal_class_labels\n", + "\n", + " @torch.no_grad()\n", + " def classify_images(self, image_iter: np.ndarray) -> Iterator[CLASSIFICATION_DICT_T]:\n", + " \"\"\"Classifier implementation\"\"\"\n", + " # Input may either be an NDaray, or some arbitrary iterable of NDarray images.\n", + " for img in image_iter:\n", + " inputs = processor(images=img, return_tensors=\"pt\")\n", + " inputs = inputs.to(device)\n", + " outputs = model(**inputs)\n", + " # Converting feature extractor output to probabilities.\n", + " class_conf = torch.nn.functional.tanh(outputs.logits).cpu().detach().numpy().squeeze()\n", + " # Only return the confidences for the focus classes\n", + " yield dict(zip(sal_class_labels, class_conf[sal_class_idxs]))\n", + "\n", + " def get_config(self) -> dict:\n", + " \"\"\"Returns config dict\"\"\"\n", + " # Required by a parent class.\n", + " return {}\n", + "\n", + "\n", + "blackbox_classifier = CLIPViTModel()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# MC-RISE Black-Box Saliency Algorithm\n", + "\n", + "We apply the MC-RISE algorithm with 5 colors (red, green, blue, white and black) using the `MCRISEStack` implementation." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from xaitk_saliency.impls.gen_image_classifier_blackbox_sal.mc_rise import MCRISEStack\n", + "\n", + "colors = {\n", + " \"red\": [255, 0, 0],\n", + " \"green\": [0, 255, 0],\n", + " \"blue\": [0, 0, 255],\n", + " \"white\": [255, 255, 255],\n", + " \"black\": [0, 0, 0],\n", + "}\n", + "\n", + "gen_rise_debiased = MCRISEStack(1000, 8, 0.5, fill_colors=list(colors.values()), seed=0, threads=4)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Run the \"Application\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saliency maps: (5, 1, 75, 76)\n" + ] + }, + { + "data": { + "image/jpeg": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Class 0 red saliency map range: [-0.9577963855670709, 1.0]\n", + "Class 0 green saliency map range: [-1.0, 0.7505524578654462]\n", + "Class 0 blue saliency map range: [-1.0, 0.9028794601007086]\n", + "Class 0 white saliency map range: [-1.0, 0.43338210200573707]\n", + "Class 0 black saliency map range: [-0.7162993764197221, 1.0]\n" + ] + }, + { + "data": { + "image/jpeg": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "app(\n", + " test_image_filename,\n", + " blackbox_classifier,\n", + " gen_rise_debiased,\n", + " colors.keys(),\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.21" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/poetry.lock b/poetry.lock index aa0d4942..09e09577 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2778,6 +2778,23 @@ files = [ {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"}, ] +[[package]] +name = "nodejs-wheel-binaries" +version = "22.13.0" +description = "unoffical Node.js package" +optional = false +python-versions = ">=3.7" +files = [ + {file = "nodejs_wheel_binaries-22.13.0-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:646ab3e65296de9c578db9a1dcfbca26386d2ead70a49008f75d02e960593b2f"}, + {file = "nodejs_wheel_binaries-22.13.0-py2.py3-none-macosx_11_0_x86_64.whl", hash = "sha256:38c689d556f428415a77655f70d2046ddbe11604039489f029b12f317042eaf4"}, + {file = "nodejs_wheel_binaries-22.13.0-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61885cbcfff0a6d40353c8ea3d861ccb65dba7ce4b19f22427719aeeb35d42f1"}, + {file = "nodejs_wheel_binaries-22.13.0-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e358439ff830db766006e6eeb85ababb94b8c41c7325c9eb1f873a52d3df3016"}, + {file = "nodejs_wheel_binaries-22.13.0-py2.py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:1e26d39448cbb2969da10f5e62e53101591e4d6c6a6ae8d623c65f56bf28ce6b"}, + {file = "nodejs_wheel_binaries-22.13.0-py2.py3-none-win_amd64.whl", hash = "sha256:cd9c6cdfd00ec48c55cbcd21a98af1fc9c2a18f039aede729de319346ed8675d"}, + {file = "nodejs_wheel_binaries-22.13.0-py2.py3-none-win_arm64.whl", hash = "sha256:aa8af75d30c3132bc4e998126a78b11c269abc3060f1c7c697907299b21ae0e1"}, + {file = "nodejs_wheel_binaries-22.13.0.tar.gz", hash = "sha256:dd811e3e5b92f2e5d4eb236cdf1ff814c91d3d3533d90d63b4af41d07a8bb2fc"}, +] + [[package]] name = "notebook" version = "7.2.2" @@ -2990,7 +3007,6 @@ description = "Nvidia JIT LTO Library" optional = true python-versions = ">=3" files = [ - {file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-manylinux2014_aarch64.whl", hash = "sha256:004186d5ea6a57758fd6d57052a123c73a4815adf365eb8dd6a85c9eaa7535ff"}, {file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-manylinux2014_x86_64.whl", hash = "sha256:d9714f27c1d0f0895cd8915c07a87a1d0029a0aa36acaf9156952ec2a8a12189"}, {file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-win_amd64.whl", hash = "sha256:c3401dc8543b52d3a8158007a0c1ab4e9c768fcbd24153a48c86972102197ddd"}, ] @@ -3638,6 +3654,27 @@ files = [ [package.extras] diagrams = ["jinja2", "railroad-diagrams"] +[[package]] +name = "pyright" +version = "1.1.391" +description = "Command line wrapper for pyright" +optional = false +python-versions = ">=3.7" +files = [ + {file = "pyright-1.1.391-py3-none-any.whl", hash = "sha256:54fa186f8b3e8a55a44ebfa842636635688670c6896dcf6cf4a7fc75062f4d15"}, + {file = "pyright-1.1.391.tar.gz", hash = "sha256:66b2d42cdf5c3cbab05f2f4b76e8bec8aa78e679bfa0b6ad7b923d9e027cadb2"}, +] + +[package.dependencies] +nodeenv = ">=1.6.0" +nodejs-wheel-binaries = {version = "*", optional = true, markers = "extra == \"nodejs\""} +typing-extensions = ">=4.1" + +[package.extras] +all = ["nodejs-wheel-binaries", "twine (>=3.4.1)"] +dev = ["twine (>=3.4.1)"] +nodejs = ["nodejs-wheel-binaries"] + [[package]] name = "pytest" version = "8.2.1" @@ -3801,7 +3838,6 @@ files = [ {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"}, {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"}, {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"}, - {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"}, {file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"}, {file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"}, {file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"}, @@ -3809,16 +3845,8 @@ files = [ {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"}, {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"}, {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"}, - {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"}, {file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"}, {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"}, - {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, - {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, - {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"}, - {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, - {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, - {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, - {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"}, {file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"}, {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"}, {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"}, @@ -3835,7 +3863,6 @@ files = [ {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"}, {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"}, {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"}, - {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"}, {file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"}, {file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"}, {file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"}, @@ -3843,7 +3870,6 @@ files = [ {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"}, {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"}, {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"}, - {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"}, {file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"}, {file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"}, {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"}, @@ -5624,4 +5650,4 @@ tools = ["kwcoco", "matplotlib", "pyyaml", "shapely"] [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "bfcd6e88624180cf63ada7987858d0d0ba7a14e591b9e49bcdc0c5ac0449d5b5" +content-hash = "a4893a57187b6eeba7f64abcb5d9e9a339892b07773f9d47ba00ec2bef9b80d3" diff --git a/pyproject.toml b/pyproject.toml index 61f3ccd3..8ca40ddc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -26,7 +26,7 @@ classifiers = [ # :auto package-meta: # package-specific meta, don't put this in "generated package-meta" authors = ["Kitware, Inc. "] -version = "0.11.0" +version = "0.12.0" description = "Visual saliency map generation interfaces and baseline implementations for explainable AI." [tool.poetry.dependencies] @@ -105,6 +105,7 @@ pre-commit = ">=2.20" ruff = "^0.5.6" types-setuptools = ">=65.6.0.1" sphinx-lint = ">=1.0.0" +pyright = {version=">=1.1.320",extras=["nodejs"]} # :auto linting: # :auto docs: @@ -245,3 +246,22 @@ incremental = false module = "tests.*" ignore_errors = true # :auto mypy: + +# :auto pyright: +[tool.pyright] +pythonVersion = "3.9" +reportMissingImports = "warning" +typeCheckingMode = "standard" +include = [ + "src/xaitk_saliency", + "tests", + "examples" + ] +exclude = [ + "**/__pycache__", + "demos", + "scripts", + "docs/_build", + "docs/_implementations", + ] +# :auto pyright: diff --git a/src/xaitk_saliency/impls/gen_image_classifier_blackbox_sal/mc_rise.py b/src/xaitk_saliency/impls/gen_image_classifier_blackbox_sal/mc_rise.py index e351a6c8..cca03cb1 100644 --- a/src/xaitk_saliency/impls/gen_image_classifier_blackbox_sal/mc_rise.py +++ b/src/xaitk_saliency/impls/gen_image_classifier_blackbox_sal/mc_rise.py @@ -73,7 +73,7 @@ def __init__( self._fill_colors = fill_colors @staticmethod - def _work_func(*, ref_image: np.ndarray, i_: int, m: np.ndarray, f: np.ndarray) -> np.ndarray: + def _work_func(ref_image: np.ndarray, i_: int, m: np.ndarray, f: np.ndarray) -> np.ndarray: s: tuple = (...,) if ref_image.ndim > 2: s = (..., None) # add channel axis for multiplication @@ -104,12 +104,15 @@ def _occlude_image_streaming( for i, (mask, fill) in enumerate(zip(masks, fill_values)): yield MCRISEStack._work_func(ref_image=ref_image, i_=i, m=mask, f=fill) else: + ref_image = np.stack([ref_image for _ in fill_values], axis=0) + # NOTE: Never pass by keyword to avoid the iterables being wrongly + # zipped and assigned to kwargs. yield from parallel_map( MCRISEStack._work_func, - ref_image=ref_image, - i_=itertools.count(), - m=masks, - f=fill_values, + ref_image, + itertools.count(), + masks, + fill_values, cores=threads, use_multiprocessing=False, )