{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Saliency Generation with VIAME"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Introduction\n",
"This notebook contains a working example to demonstrate the image classifier black-box interface with the [Video and Image Analytics for Marine Environments (VIAME) Toolkit](https://www.viametoolkit.org/).\n",
"\n",
"We'll apply saliency maps to an underwater fish classification task (the data and models are publicly available on [viame.kitware.com](https://viame.kitware.com), but login or registration may be required). Using [VIAME](https://www.viametoolkit.org/), the trained fish detection and classification models can be used to assess the movement and health of different populations of fish in the ocean. To learn more about this ongoing work, see this [article](https://www.fisheries.noaa.gov/feature-story/science-snapper?fbclid=IwAR3gnTYiPbfdDVDD-LgBUSVc6XYv3Ia9SMerrySZkNx0lpRNB8NFAKF33RE).\n",
"\n",
"\n",
"We will create an application-like use case where we transform an input image into a number of saliency heatmaps based on our black-box classifier's output, visualizing them over the input image.\n",
"\n",
"This will necessarily include the use of a classification model to perform the role of the black-box classifier that we will be determining the saliency for. We will make use of the [bioharn](https://gitlab.kitware.com/viame/bioharn) package for providing trained, deployable classification models in [PyTorch](https://pytorch.org/). These models are also publicly available as optional add-ons on the [VIAME Github](https://github.com/VIAME/VIAME) page (see the [SEFSC 100-200 Class Fish Models](https://viame.kitware.com/api/v1/item/60b3a58b8438b3b7ffd7032f/download)).\n",
"\n",
"### Table of Contents\n",
"* [Set Up Environment](#Set-Up-Environment-VIAME)\n",
"* [The Test Image](#The-Test-Image-VIAME)\n",
"* [Black-Box Classifier](#Black-Box-Classifier-VIAME)\n",
"* [Generating Saliency Maps](#Generating-Saliency-Maps-VIAME)\n",
" * [High-level API](#High-level-API-VIAME)\n",
" * [Calling the Application](#Calling-the-Application-VIAME)\n",
"\n",
"### Miscellaneous\n",
"The test image is publicly available on [viame.kitware.com](https://viame.kitware.com) and freely provided by the [Southeast Fisheries Science Center (SEFSC)](https://www.fisheries.noaa.gov/about/southeast-fisheries-science-center).\n",
"\n",
"#### References\n",
"1. Zeiler, Matthew D., and Rob Fergus. \"Visualizing and understanding convolutional networks.\" European conference on computer vision. Springer, Cham, 2014.\n",
"\n"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Set Up Environment "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
"\n",
"# torchvision>=0.13.0 removed \"torchvision.models.resnet.model_urls\" which is required by\n",
"# the download https://data.kitware.com/api/v1/item/62325a614acac99f426f21f8/download (below).\n",
"# Because of this we must peg a specific version of torchvision which still has the attribute.\n",
"# The pegged torchvision version does not support python 3.11+, so we assert we're using a lower\n",
"# python version to prevent package dependency errors.\n",
"if sys.version_info >= (3, 11):\n",
" raise RuntimeError(\"Use Python 3.10 or older\")\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 git+https://gitlab.kitware.com/viame/bioharn.git@dev/0.2.0 # test with 0.2.0\n",
"# Remove opencv-python, which required libGL, which we don't require here, and replace with opencv-python-headless\n",
"!{sys.executable} -m pip uninstall -qy opencv-python opencv-python-headless # make sure they're both gone.\n",
"\n",
"# Force reinstallation to resolve incompatibilities between dependencies\n",
"!{sys.executable} -m pip install -q --force-reinstall --no-cache-dir \\\n",
" \"numpy<2.0\" \"packaging<24.0\" \\\n",
" opencv-python-headless scikit-image"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# The Test Image \n",
"We will test this application on the following image, which contains a [red snapper](https://www.fisheries.noaa.gov/species/red-snapper) or *Lutjanus campechanus*. Images in the dataset were run through a multi-stage pipeline involving fish detection and bounding box generation, followed by image chipping, and finally classification on the generated image chips. An example chipped image is shown below, which is subsequently passed through the trained fish classification model."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using dir as data root: /home/local/KHQ/elim.schenck/xaitk-saliency/examples/data/viame-example\n"
]
},
{
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",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import os\n",
"import urllib.request\n",
"from collections.abc import Sequence\n",
"from typing import Any\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import PIL.Image\n",
"from typing_extensions import override\n",
"\n",
"# Use JPEG format for inline visualizations here.\n",
"%config InlineBackend.figure_format = \"jpeg\"\n",
"\n",
"\n",
"# We'll grab a publicly available fish image\n",
"root_dir = \"data/viame-example\"\n",
"print(f\"Using dir as data root: {os.path.abspath(root_dir)}\")\n",
"\n",
"os.makedirs(root_dir, exist_ok=True)\n",
"test_image_filename = os.path.join(root_dir, \"fish.png\")\n",
"if not os.path.isfile(test_image_filename):\n",
" urllib.request.urlretrieve(\n",
" \"https://data.kitware.com/api/v1/item/62325a614acac99f426f21f8/download\",\n",
" test_image_filename,\n",
" )\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": [
"# Black-Box Classifier \n",
"We will use [bioharn](https://gitlab.kitware.com/viame/bioharn), a PyTorch-based training and evaluation \"harness\" (or framework) catered towards biology-related problems. Specifically, we will use the `ClfPredictor` class, which allows for easy use of deployed model and configuration files at inference time.\n",
"\n",
"In this example, we will use a PyTorch-based, ResNeXt101 model trained on fish data and use its softmax output as classification confidences. Although there are ~100 different species or classes of fish, we will, for simplicity of example, only constrain the output to two classes (the ground truth class and the model-predicted class for the test image above)."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using existing configuration/model: data/viame-example/configs/pipelines/models/sefsc_species_resnext_big.zip\n"
]
}
],
"source": [
"import zipfile\n",
"\n",
"config_path = \"configs/pipelines/models/sefsc_species_resnext_big.zip\"\n",
"config_model_filepath = os.path.join(root_dir, config_path)\n",
"\n",
"zip_filepath = os.path.join(root_dir, \"VIAME-SEFSC-Models.zip\")\n",
"\n",
"if not os.path.isfile(config_model_filepath):\n",
" print(f\"Downloading model package to {zip_filepath}\")\n",
" # Let's first download some models...\n",
" # Note: this may take a while since this is about 5GB of data\n",
" urllib.request.urlretrieve(\n",
" \"https://viame.kitware.com/girder/api/v1/item/60b3a58b8438b3b7ffd7032f/download\",\n",
" zip_filepath,\n",
" )\n",
"\n",
" # and then extract the ResNeXt model\n",
" print(f\"Extracting relevant configuration/model to {config_model_filepath}\")\n",
" zfile = zipfile.ZipFile(zip_filepath)\n",
" zfile.extract(config_path, root_dir)\n",
"\n",
" os.remove(zip_filepath)\n",
"else:\n",
" print(f\"Using existing configuration/model: {config_model_filepath}\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/local/KHQ/elim.schenck/anaconda3/envs/test/lib/python3.9/site-packages/kwimage/structs/boxes.py:82: UserWarning: Optional cython_boxes backend is not available: ValueError('numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject')\n",
" warnings.warn(\n"
]
}
],
"source": [
"import torch\n",
"from bioharn.clf_predict import ClfPredictor\n",
"\n",
"# We make use of the automatic deployed model functionality in bioharn\n",
"config = {\"deployed\": config_model_filepath}\n",
"if torch.cuda.is_available():\n",
" # Use our GPU if torch sees CUDA is available.\n",
" config[\"xpu\"] = 0\n",
"\n",
"predictor = ClfPredictor(config)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"We'll set up our \"black-box\" classifier using bioharn's `ClfPredictor` class, pointing it to the deployed model file we downloaded above. Additionally, we'll wrap this model in smqtk-classifier's `ClassifyImage` interface for standardized classifier operation with our API."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loading data onto None from mode=rb)>\n",
"Pretrained weights are a perfect fit\n"
]
}
],
"source": [
"import numpy as np\n",
"from smqtk_classifier import ClassifyImage\n",
"\n",
"# Get class names from the predictor model\n",
"predictor._ensure_model() # noqa: SLF001\n",
"categories = predictor.coder.classes.class_names\n",
"\n",
"# Choose the ground-truth class ('LUTJANUSCAMPECHANUS-170151107') and the\n",
"# predicted class ('PRISTIPOMOIDESAQUILONARIS-170151802') for the test image\n",
"sal_class_labels = [\"LUTJANUSCAMPECHANUS-170151107\", \"PRISTIPOMOIDESAQUILONARIS-170151802\"]\n",
"sal_class_idxs = [categories.index(lbl) for lbl in sal_class_labels]\n",
"\n",
"\n",
"class FishModel(ClassifyImage):\n",
" \"\"\"Black-box model based on smqtk-classifier's ClassifyImage.\"\"\"\n",
"\n",
" @override\n",
" def get_labels(self) -> Sequence[str]:\n",
" \"\"\"Return a list of fish labels.\"\"\"\n",
" return sal_class_labels\n",
"\n",
" @override\n",
" def classify_images(self, image_iter: np.ndarray) -> dict[str, Any]:\n",
" \"\"\"Input may either be an NDaray, or some arbitrary iterable of NDarray images.\"\"\"\n",
" preds = predictor.predict(list(image_iter))\n",
" for p in preds:\n",
" class_conf = p.prob[sal_class_idxs]\n",
" yield dict(zip(sal_class_labels, class_conf, strict=False))\n",
"\n",
" @override\n",
" def get_config(self) -> dict[str, Any]:\n",
" \"\"\"Required by a parent class.\"\"\"\n",
" return {}\n",
"\n",
"\n",
"blackbox_classifier = FishModel()\n",
"\n",
"# Choose blackbox_fill value based on model input_norm\n",
"model_mean = predictor.model.input_norm.mean.cpu().numpy().flatten()\n",
"blackbox_fill = np.uint8(model_mean * 255)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Generating Saliency Maps \n",
"\n",
"## High-level API \n",
"Here we will use our high-level API interface for visual saliency map generation. Specifically, we will use a sliding-window, occlusion-based saliency map algorithm as well as a debiased [RISE](https://cs-people.bu.edu/vpetsiuk/rise/) saliency algorithm. We can swap in different algorithms and the application will still function successfully due to API consistency, but with different results as per using a different algorithm."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"from xaitk_saliency.impls.gen_image_classifier_blackbox_sal.rise import RISEStack\n",
"from xaitk_saliency.impls.gen_image_classifier_blackbox_sal.slidingwindow import SlidingWindowStack\n",
"\n",
"gen_slidingwindow = SlidingWindowStack((50, 50), (20, 20), threads=4)\n",
"gen_rise = RISEStack(1000, 8, 0.5, seed=0, threads=4, debiased=True)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"We will define a helper function for visualizing the generated results, with defined inputs for the following:\n",
" * the image\n",
" * black-box classifier\n",
" * saliency map generation API implementation"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"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_classifier: ClassifyImage,\n",
" gen_bb_sal: GenerateImageClassifierBlackboxSaliency,\n",
") -> None:\n",
" \"\"\"Load the image.\"\"\"\n",
" ref_image = np.asarray(PIL.Image.open(image_filepath).resize((256, 256)))\n",
" sal_maps = gen_bb_sal(ref_image, blackbox_classifier)\n",
" print(f\"Saliency maps: {sal_maps.shape}\")\n",
" visualize_saliency(ref_image, sal_maps)\n",
"\n",
"\n",
"def visualize_saliency(ref_image: np.ndarray, sal_maps: np.ndarray) -> None:\n",
" \"\"\"Visualize the saliency heat-maps.\"\"\"\n",
" sub_plot_ind = len(sal_maps) + 1\n",
" plt.figure(figsize=(12, 6))\n",
" plt.subplot(2, sub_plot_ind, 1)\n",
" plt.imshow(ref_image)\n",
" plt.axis(\"off\")\n",
" plt.title(\"Test Image\")\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",
" for i, class_sal_map in enumerate(sal_maps):\n",
" print(f\"Class {i} saliency map range: [{class_sal_map.min()}, {class_sal_map.max()}]\")\n",
"\n",
" # Positive half saliency\n",
" plt.subplot(2, sub_plot_ind, 2 + i)\n",
" plt.imshow(ref_image, alpha=0.7)\n",
" plt.imshow(np.clip(class_sal_map, 0, 1), cmap=\"jet\", alpha=0.3)\n",
" plt.clim(0, 1)\n",
" plt.colorbar(**colorbar_kwargs)\n",
" plt.title(f\"Class #{i + 1} Pos Saliency\")\n",
" plt.axis(\"off\")\n",
"\n",
" # Negative half saliency\n",
" plt.subplot(2, sub_plot_ind, sub_plot_ind + 2 + i)\n",
" plt.imshow(ref_image, alpha=0.7)\n",
" plt.imshow(np.clip(class_sal_map, -1, 0), cmap=\"jet_r\", alpha=0.3)\n",
" plt.clim(-1, 0)\n",
" plt.colorbar(**colorbar_kwargs)\n",
" plt.title(f\"Class #{i + 1} Neg Saliency\")\n",
" plt.axis(\"off\")"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Calling the Application \n",
"Here we will show that can invoke the same \"application\" (helper function) with different `xaitk-saliency` API interface implementations while still successfully executing and visualizing the different results that are generated."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Mount model on GPU(0)\n",
"clf predict 1/1... rate=20.39 Hz, eta=0:00:00, total=0:00:00\n",
"clf predict 1/43... rate=12.32 Hz, eta=0:00:03, total=0:00:00"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/local/KHQ/elim.schenck/anaconda3/envs/test/lib/python3.9/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.)\n",
" return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"clf predict 43/43... rate=15.99 Hz, eta=0:00:00, total=0:00:02\n",
"Saliency maps: (2, 256, 256)\n",
"Class 0 saliency map range: [-0.9574418663978577, 1.0]\n",
"Class 1 saliency map range: [-0.9355486631393433, 1.0]\n"
]
},
{
"data": {
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"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Set occlusion fill value\n",
"gen_slidingwindow.fill = blackbox_fill\n",
"\n",
"app(\n",
" test_image_filename,\n",
" blackbox_classifier,\n",
" gen_slidingwindow,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"clf predict 1/1... rate=40.00 Hz, eta=0:00:00, total=0:00:00\n",
"clf predict 250/250... rate=15.90 Hz, eta=0:00:00, total=0:00:15\n",
"Saliency maps: (2, 256, 256)\n",
"Class 0 saliency map range: [-0.44653043150901794, 1.0]\n",
"Class 1 saliency map range: [-0.438785195350647, 1.0]\n"
]
},
{
"data": {
"image/jpeg": 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",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Set occlusion fill value\n",
"gen_rise.fill = blackbox_fill\n",
"\n",
"app(\n",
" test_image_filename,\n",
" blackbox_classifier,\n",
" gen_rise,\n",
")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 4
}