{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Active perception for focused transmit steering\n", "\n", "In this tutorial we will implement a basic perception-action loop to drive intelligent and adaptive focused transmit steering. We will use [Diffusion Models](https://zea.readthedocs.io/en/latest/_autosummary/zea.models.diffusion.html#zea.models.diffusion.DiffusionModel) to implement perception-as-inference, with [greedy entropy minimization](https://zea.readthedocs.io/en/latest/_autosummary/zea.agent.selection.html#zea.agent.selection.GreedyEntropy) as our action selection policy.\n", "\n", "For more information we would like to refer you to the paper [Patient-Adaptive Focused Transmit Beamforming using Cognitive Ultrasound](https://tue-bmd.github.io/ulsa/)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tue-bmd/zea/blob/main/docs/source/notebooks/agent/agent_example.ipynb)\n", " \n", "[![View on GitHub](https://img.shields.io/badge/GitHub-View%20Source-blue?logo=github)](https://github.com/tue-bmd/zea/blob/main/docs/source/notebooks/agent/agent_example.ipynb)\n", " \n", "[![Hugging Face model](https://img.shields.io/badge/Hugging%20Face-Model-yellow?logo=huggingface)](https://huggingface.co/zeahub/diffusion-echonet-dynamic)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "‼️ **Important:** This notebook is optimized for **GPU/TPU**. Code execution on a **CPU** may be very slow.\n", "\n", "If you are running in Colab, please enable a hardware accelerator via:\n", "\n", "**Runtime → Change runtime type → Hardware accelerator → GPU/TPU** 🚀." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "%pip install zea" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import os\n", "\n", "os.environ[\"KERAS_BACKEND\"] = \"jax\"\n", "os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"3\"" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: Using backend 'jax'\n" ] } ], "source": [ "import keras\n", "import keras.ops as ops\n", "import matplotlib.pyplot as plt\n", "from matplotlib import animation\n", "from tqdm import tqdm\n", "\n", "from zea import init_device\n", "from zea.models.diffusion import DiffusionModel\n", "from zea.ops import Pipeline, ScanConvert\n", "from zea.func import translate\n", "from zea.data import Dataset\n", "from zea.visualize import plot_image_grid, set_mpl_style\n", "from zea.agent.selection import GreedyEntropy" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "tags": [ "parameters" ] }, "outputs": [], "source": [ "n_prior_samples = 4\n", "n_unconditional_steps = 90\n", "n_initial_conditonal_steps = 180\n", "n_conditional_steps = 200\n", "n_conditional_samples = 4" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will work with the GPU if available, and initialize using `init_device` to pick the best available device. Also, (optionally), we will set the matplotlib style for plotting." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "init_device(verbose=False)\n", "set_mpl_style()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load dataset and model" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "6e52d4d1ccea4b7f986f5fd2f537ac88", "version_major": 2, "version_minor": 0 }, "text/plain": [ "config.json: 0%| | 0.00/858 [00:00 1 is not available. Disabling jit for ScanConvert.\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scan_convert = Pipeline([ScanConvert(order=2, jit_compile=False)])\n", "parameters = {\n", " \"theta_range\": [-0.78, 0.78], # [-45, 45] in radians\n", " \"rho_range\": [0, 1],\n", "}\n", "parameters = scan_convert.prepare_parameters(**parameters)\n", "data_sc = scan_convert(data=data, **parameters)[\"data\"]\n", "\n", "n_frames_to_plot = 5\n", "fig, _ = plot_image_grid(\n", " data_sc[:n_frames_to_plot],\n", " titles=[f\"t={t}\" for t in range(n_frames_to_plot)],\n", " ncols=n_frames_to_plot,\n", " remove_axis=True,\n", " vmin=-1,\n", " vmax=1,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simulate Focused Line Acquisition\n", "We use a simple masking operator to simulate acquiring a set of focused lines from the tissue, where each line reveals a vertical column of pixels, in the polar domain, of the target." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "def simulate_acquisition(full_frame, mask):\n", " measurement = full_frame[None, ...] * mask\n", " return measurement, mask" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Perception-Action Loop" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Initially, we have not yet acquired any measurements, so we draw samples from the prior to drive our actions." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 46ms/step\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "prior_samples = model.sample(n_samples=n_prior_samples, n_steps=n_unconditional_steps, verbose=True)\n", "scan_converted_prior_samples = scan_convert(\n", " data=keras.ops.squeeze(prior_samples, axis=-1), **parameters\n", ")[\"data\"]\n", "posterior_variance = ops.nan_to_num(ops.var(scan_converted_prior_samples, axis=0))\n", "fig, _ = plot_image_grid(\n", " list(scan_converted_prior_samples) + [translate(posterior_variance, range_to=(-1, 1))],\n", " titles=[f\"Sample {i}\" for i in range(n_prior_samples)] + [\"Var[x]\"],\n", " vmin=-1,\n", " vmax=1,\n", " cmap=[\"gray\"] * n_prior_samples + [\"inferno\"],\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we implement a perception-action loop, using a greedy entropy minimization strategy to select which lines to acquire next in the sequence. Each set of generated posterior samples at time $t$ are used as _initial samples_ for the reverse diffusion at time $t+1$ [1], ensuring that we generate a reconstructed sequence that is coherent over time.\n", "\n", "[1] https://ieeexplore.ieee.org/document/10889752" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "frame_height, frame_width, _ = model.input_shape\n", "action_selector = GreedyEntropy(\n", " n_actions=14, # acquire 25% of measurements\n", " n_possible_actions=frame_width,\n", " img_width=frame_width,\n", " img_height=frame_height,\n", ")\n", "\n", "# select the first actions based on the prior samples\n", "prior_samples_batched = prior_samples[None, ..., 0] # add batch, remove channel\n", "selected_lines, measurement_mask = action_selector.sample(prior_samples_batched)\n", "# initialise the previous samples as the prior samples\n", "previous_samples = prior_samples\n", "\n", "reconstructions = []\n", "measurements = []\n", "for target_frame in tqdm(data):\n", " # perception\n", " measurements_t, measurement_mask_t = simulate_acquisition(target_frame, measurement_mask)\n", " posterior_samples = model.posterior_sample(\n", " measurements=measurements_t[..., None], # add channel dim\n", " mask=measurement_mask_t[..., None], # add channel dim\n", " initial_samples=previous_samples,\n", " n_samples=n_conditional_samples,\n", " n_steps=n_conditional_steps,\n", " omega=10,\n", " initial_step=n_initial_conditonal_steps,\n", " )\n", "\n", " # action\n", " selected_lines, measurement_mask = action_selector.sample(posterior_samples[..., 0])\n", "\n", " # gather the selected measurements and reconstructions for visualization\n", " reconstructions.append(posterior_samples[0])\n", " measurements.append(measurements_t)\n", " # reset the previous_samples\n", " previous_samples = posterior_samples" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# postprocess outputs for plotting\n", "reconstructions = ops.convert_to_tensor(reconstructions)\n", "measurements = ops.convert_to_tensor(measurements)\n", "selected_reconstructions = reconstructions[\n", " :, 0, ...\n", "] # choose first sample for each frame to display\n", "reconstructions_sc = scan_convert(data=selected_reconstructions[..., 0], **parameters)[\"data\"]\n", "measurements_sc = scan_convert(data=measurements[:, 0, ...], **parameters)[\"data\"]\n", "variances_sc = scan_convert(\n", " data=ops.var(reconstructions, axis=1)[..., 0], **(parameters | {\"fill_value\": 0.0})\n", ")[\"data\"]\n", "variances_sc = translate(variances_sc, range_to=(-1, 1))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualize the results\n", "Finally, we visualize our reconstructed sequence, along with the selected measurements and posterior variance at each step. The agent's goal of minizing posterior entropy is reflected in the low posterior variance throughout the sequence. You can see that the agent is quickly able to reduce the uncertainty after the first frame, when it was able to observe using acquisition of the first focused lines." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "# plot image\n", "fig, ims = plot_image_grid(\n", " [data_sc[0], measurements_sc[0], reconstructions_sc[0], variances_sc[0]],\n", " titles=[\"Target\", \"Measurements\", \"Reconstruction\", \"Variance\"],\n", " ncols=4,\n", " vmin=-1,\n", " vmax=1,\n", " cmap=[\"gray\"] * 3 + [\"inferno\"],\n", " figsize=(11, 4),\n", ")\n", "fig.tight_layout(pad=0)\n", "\n", "\n", "def update(frame):\n", " ims[0].set_array(data_sc[frame])\n", " ims[1].set_array(measurements_sc[frame])\n", " ims[2].set_array(reconstructions_sc[frame])\n", " ims[3].set_array(variances_sc[frame])\n", " return ims\n", "\n", "\n", "ani = animation.FuncAnimation(fig, update, frames=len(data_sc), blit=True, interval=100)\n", "plt.close(fig)\n", "ani.save(\"agent_example_reconstruction.gif\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![Agent example reconstruction](agent_example_reconstruction.gif)" ] } ], "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": "3.12.11" } }, "nbformat": 4, "nbformat_minor": 2 }