{ "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](http://127.0.0.1:8000/_autosummary/zea.models.diffusion.html#zea.models.diffusion.DiffusionModel) to implement perception-as-inference, with [greedy entropy minimization](http://127.0.0.1:8000/_autosummary/zea.agent.selection.html#zea.agent.selection.GreedyEntropy) as our action selection policy." ] }, { "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": "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 IPython.display import HTML\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.data import Dataset\n", "from zea.visualize import plot_image_grid, set_mpl_style\n", "from zea.agent.selection import GreedyEntropy\n", "from zea.utils import translate" ] }, { "cell_type": "code", "execution_count": null, "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": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: Using pregenerated dataset info file: \u001b[33m/home/devcontainer15/.cache/zea/huggingface/datasets/datasets--zeahub--camus-sample/snapshots/617cf91a1267b5ffbcfafe9bebf0813c7cee8493/val/dataset_info.yaml\u001b[0m ...\n", "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: ...for reading file paths in \u001b[33m/home/devcontainer15/.cache/zea/huggingface/datasets/datasets--zeahub--camus-sample/snapshots/617cf91a1267b5ffbcfafe9bebf0813c7cee8493/val\u001b[0m\n", "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: Dataset was validated on \u001b[32mJuly 17, 2025\u001b[0m\n", "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: Remove \u001b[33m/home/devcontainer15/.cache/zea/huggingface/datasets/datasets--zeahub--camus-sample/snapshots/617cf91a1267b5ffbcfafe9bebf0813c7cee8493/val/validated.flag\u001b[0m if you want to redo validation.\n" ] } ], "source": [ "# load generative model\n", "model = DiffusionModel.from_preset(\"diffusion-echonet-dynamic\")\n", "img_shape = model.input_shape[:2]\n", "\n", "\n", "# load camus dataset\n", "dataset = Dataset(\"hf://zeahub/camus-sample/val\", key=\"image\")\n", "data = dataset[0][\"data\"][\"image\"]\n", "data = keras.ops.expand_dims(data, axis=-1)\n", "data = keras.ops.image.resize(data, img_shape)\n", "dynamic_range = (-40, 0)\n", "data = keras.ops.clip(data, dynamic_range[0], dynamic_range[1])\n", "data = translate(data, dynamic_range, (-1, 1))\n", "data = data[..., 0] # remove channel dim" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualize target sequence\n", "Here we load a sequence of ultrasound frames from the CAMUS validation set. This will be our 'ground truth' target sequence, that the agent will need to reconstruct from a small budget of focused scan lines" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: \u001b[38;5;214mWARNING\u001b[0m GPU support for order > 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[1m26s\u001b[0m 102ms/step\n" ] }, { "data": { "image/png": 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" ] }, "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": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 17/17 [00:13<00:00, 1.23it/s]\n" ] } ], "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": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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