custom_latent_trajectory.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib widget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from cryosparc.tools import CryoSPARC\n",
    "import json\n",
    "import numpy as np\n",
    "from pathlib import Path\n",
    "import matplotlib as mpl\n",
    "from matplotlib import pyplot as plt\n",
    "# scipy is an additional dependency\n",
    "from scipy.interpolate import splprep, splev\n",
    "\n",
    "def make_2d_hist(x_component, y_component, pts = None, ax = None, norm = \"linear\", plot_range = [[-1, 1],[-1, 1]], **kwargs):\n",
    "    # use our own norm argument instead of **kwargs b/c handling of string args to norm in ax.hexbin\n",
    "    # is broken in the version of MPL shipped with CS\n",
    "    if norm == \"log\":\n",
    "        normalizer = mpl.colors.LogNorm()\n",
    "    else:\n",
    "        normalizer = None\n",
    "    if norm not in [\"log\", \"linear\", None]:\n",
    "        print(f\"Warning: normalizer '{norm}' not implemented. Using linear scale.\")\n",
    "    \n",
    "    if \"norm\" in kwargs:\n",
    "        del kwargs[\"norm\"]\n",
    "\n",
    "    if ax is None:\n",
    "        ax = plt.gca()\n",
    "\n",
    "    heatmap = ax.hist2d(\n",
    "        x_component,\n",
    "        y_component,\n",
    "        bins = 75,\n",
    "        norm = normalizer,\n",
    "        range = plot_range,\n",
    "        **kwargs\n",
    "    )\n",
    "\n",
    "    if pts is not None:\n",
    "        ax.plot(\n",
    "            pts[:, 0],\n",
    "            pts[:, 1],\n",
    "            \"-o\",\n",
    "            color = \"black\",\n",
    "            linewidth = 3,\n",
    "            markersize = 6\n",
    "        )\n",
    "\n",
    "    ax.set_xlim(*plot_range[0])\n",
    "    ax.set_ylim(*plot_range[1])\n",
    "    ax.set_aspect(1)\n",
    "\n",
    "    return heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Connection succeeded to CryoSPARC command_core at http://cryoem0.sbi:40002\n",
      "Connection succeeded to CryoSPARC command_vis at http://cryoem0.sbi:40003\n",
      "Connection succeeded to CryoSPARC command_rtp at http://cryoem0.sbi:40005\n"
     ]
    }
   ],
   "source": [
    "with open(Path('~/instance-info.json').expanduser(), 'r') as f:\n",
    "    instance_info = json.load(f)\n",
    "\n",
    "cs = CryoSPARC(**instance_info)\n",
    "assert cs.test_connection()\n",
    "\n",
    "project_uid = \"P328\"\n",
    "workspace_uid = \"W1\"\n",
    "job_uid = \"J22\"\n",
    "selected_dimensions = [0,1]\n",
    "\n",
    "project = cs.find_project(project_uid)\n",
    "workspace = project.find_workspace(workspace_uid)\n",
    "latent_job = project.find_job(job_uid)\n",
    "particles = latent_job.load_output(\"particles\")\n",
    "x_component = particles[f\"components_mode_{selected_dimensions[0]}/value\"]\n",
    "y_component = particles[f\"components_mode_{selected_dimensions[1]}/value\"]\n",
    "\n",
    "rng = np.random.default_rng()\n",
    "jitter_x = rng.random(size = x_component.shape) * 0.02\n",
    "jitter_y = rng.random(size = y_component.shape) * 0.02"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f1e1e595b68444bea49667fa49648590",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='data:image/png;base64,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' width=1200.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pts = []\n",
    "plot_range = [[-1.5, 1.5], [-1.5, 1.5]]\n",
    "\n",
    "fig = plt.figure(figsize=(12, 12), layout = \"tight\")\n",
    "make_2d_hist(x_component + jitter_x, y_component + jitter_y, plot_range = plot_range)\n",
    "\n",
    "def onclick(event):\n",
    "    fig.clf()\n",
    "    pts.append([event.xdata, event.ydata])\n",
    "    apts = np.array(pts)\n",
    "    make_2d_hist(x_component + jitter_x, y_component + jitter_y, pts = apts, plot_range = plot_range)\n",
    "\n",
    "cid = plt.gcf().canvas.mpl_connect(\"button_press_event\", onclick)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 0.48,  0.31\n",
      " 0.05,  0.27\n",
      " 0.48,  0.01\n",
      " 0.41, -0.31\n",
      " 0.05, -0.46\n",
      "-0.40, -0.17\n",
      "-0.34,  0.31\n"
     ]
    }
   ],
   "source": [
    "latent_pts = np.array(pts)\n",
    "for pt in latent_pts:\n",
    "    print(f\"{pt[0]:5.2f}, {pt[1]:5.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Coordinate 1')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1e8528a062a74905a381d794cbf064e9",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='data:image/png;base64,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' width=800.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# increasing the smoothing factor smooths out the generated points\n",
    "# generally 0 is smooth enough\n",
    "smoothing = 0.0\n",
    "# set how many points you want here\n",
    "num_samples = 45\n",
    "\n",
    "spl, u = splprep([latent_pts[:, 0], latent_pts[:, 1]], s = smoothing)\n",
    "smooth_points = np.array(splev(np.linspace(u[0], u[-1], num = num_samples), spl)).T\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (8, 8), layout = \"tight\")\n",
    "_ = make_2d_hist(x_component + jitter_x, y_component + jitter_y, pts = np.array(smooth_points), ax = ax, plot_range = plot_range)\n",
    "\n",
    "ax.plot(\n",
    "    latent_pts[:, 0],\n",
    "    latent_pts[:, 1],\n",
    "    \":*\",\n",
    "    color = \"white\",\n",
    "    alpha = 0.8,\n",
    "    linewidth = 1,\n",
    "    markersize = 4\n",
    ")\n",
    "\n",
    "ax.set_xlabel(f\"Coordinate {selected_dimensions[0]}\")\n",
    "ax.set_ylabel(f\"Coordinate {selected_dimensions[1]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_components = len([x for x in particles.fields() if 'components_mode' in x and \"value\" in x])\n",
    "slot_spec = [\n",
    "    {\"dtype\": \"components\", \"prefix\": f\"components_mode_{k}\", \"required\": True}\n",
    "    for k in range(num_components)\n",
    "]\n",
    "\n",
    "# if use_smooth_points is True, we use the smoothed points (black above)\n",
    "# if use_smooth_points if False, we use exactly the points we clicked (white above)\n",
    "use_smooth_points = True\n",
    "if use_smooth_points:\n",
    "    pts = smooth_points\n",
    "else:\n",
    "    pts = latent_pts\n",
    "\n",
    "\n",
    "latent_job = project.create_external_job(workspace_uid, f\"Custom Latents ({'smooth' if use_smooth_points else 'raw'})\")\n",
    "latent_job.connect(\"particles\", job_uid, \"particles\", slots=slot_spec)\n",
    "latents_dset = latent_job.add_output(\n",
    "    type=\"particle\",\n",
    "    name=\"latents\",\n",
    "    slots=slot_spec,\n",
    "    title=\"Latents\",\n",
    "    alloc=len(pts),\n",
    ")\n",
    "for k in range(num_components):\n",
    "    latents_dset[f\"components_mode_{k}/component\"] = k\n",
    "    try:\n",
    "        latents_dset[f\"components_mode_{k}/value\"] = pts[:, selected_dimensions.index(k)]\n",
    "    except ValueError:\n",
    "        latents_dset[f\"components_mode_{k}/value\"] = 0\n",
    "\n",
    "with latent_job.run():\n",
    "    latent_job.save_output(\"latents\", latents_dset)\n",
    "    latent_job.log_plot(fig, \"Latents\")\n",
    "\n",
    "# create and hook up a generate job\n",
    "generate_job = workspace.create_job(\n",
    "    \"flex_generate\",\n",
    "    connections = {\n",
    "        \"flex_model\": (job_uid, \"flex_model\"),\n",
    "        \"latents\": (latent_job.doc[\"uid\"], \"latents\")\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cs-tools",
   "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": "3.12.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}