{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Get Tracks" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "This example will explain how to retrieve tracks from a existing clickpoints database and use them for evaluation. The example database contains 68 images with track markers of 12 tracks." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import clickpoints\n", "\n", "# load the example data\n", "clickpoints.loadExample(\"magnetic_tweezer\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Get all Tracks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We query all the tracks found in the database and iterate over them. For each track we get the points as an Nx2 array.\n", "\n", "Be aware that this method does not handle well tracks with missing data points." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "tracks (68, 2)\n", "tracks (68, 2)\n", "tracks (68, 2)\n", "tracks (68, 2)\n", "tracks (68, 2)\n", "tracks (68, 2)\n", "tracks (68, 2)\n", "tracks (68, 2)\n", "tracks (68, 2)\n", "tracks (68, 2)\n", "tracks (68, 2)\n", "tracks (68, 2)\n" ] } ], "source": [ "# open database\n", "with clickpoints.DataFile(\"track.cdb\") as db:\n", " # get all tracks\n", " tracks = db.getTracks()\n", "\n", " # iterate over all tracks\n", " for track in tracks:\n", " print(track.type.name, track.points.shape)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Get Complete Track Array" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also receive all the tracks of the database in one array. This is usually quicker for large databases than querying each track separately. The resulting array is (Number of tracks)x(Number of images)x2. If a track does not have a marker in one images, np.nan values are filled into the array." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(12, 68, 2)\n" ] } ], "source": [ "# open database\n", "with clickpoints.DataFile(\"track.cdb\") as db:\n", " data = db.getTracksNanPadded()\n", " print(data.shape)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plot Track Displacement" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Then we get all the tracks with :py:meth:`~.DataFile.getTracks`. In this example without any filtering, as we just want all the tracks available. We can iterate ofer the received object and access the :py:class:`Track` objects. From them we can get the points and calculate their displacements with respect to their starting points." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# open database\n", "with clickpoints.DataFile(\"track.cdb\") as db:\n", " # get all tracks\n", " tracks = db.getTracks()\n", "\n", " # iterate over all tracks\n", " for track in tracks:\n", " # get the points\n", " points = track.points\n", " # calculate the distance to the first point\n", " distance = np.linalg.norm(points[:, :] - points[0, :], axis=1)\n", " # plot the displacement\n", " plt.plot(track.frames, distance, \"-o\")\n", "\n", "# label the axes\n", "plt.xlabel(\"# frame\")\n", "plt.ylabel(\"displacement (pixel)\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can do the same with the complete track array, which is especially for large databases significantly faster than querying each track separately." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# open database\n", "with clickpoints.DataFile(\"track.cdb\") as db:\n", " # get all tracks (tracks x images x 2)\n", " points = db.getTracksNanPadded()\n", "\n", "# get the distance to the first point of each track\n", "distance = np.linalg.norm(points[:, :, :] - points[:, 0:1, :], axis=2)\n", "\n", "# plot the distances\n", "plt.plot(distance.T, \"-o\")\n", "\n", "# label the axes\n", "plt.xlabel(\"# frame\")\n", "plt.ylabel(\"displacement (pixel)\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plot Track Trajectories" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "We can now use :py:meth:`~.DataFile.getImage` to get the first image of the sequence and load the data from this file. This can now be displayed with matplotlib. To draw the tracks, we itarate over the track list again and plot all the points, as well, as the starting point of the track for a visualisation of the tracks." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# open database\n", "with clickpoints.DataFile(\"track.cdb\") as db:\n", " # get the first image\n", " im_entry = db.getImage(0)\n", "\n", " # we load the pixel data from the Image database entry\n", " im_pixel = im_entry.data\n", "\n", " # plot the image\n", " plt.imshow(im_pixel, cmap=\"gray\")\n", "\n", " # iterate over all tracks\n", " for track in tracks:\n", " # get the points\n", " points = track.points\n", " # plot the beginning of the track\n", " cross, = plt.plot(points[0, 0], points[0, 1], '+', ms=14, mew=1)\n", " # plot the track with the same color\n", " plt.plot(points[:, 0], points[:, 1], lw=3, color=cross.get_color())\n", " # plot the track id with a little offset and the same color\n", " plt.text(points[0, 0]+5, points[0, 1]-5, \"#%d\" % track.id, color=cross.get_color(), fontsize=15)\n", "\n", "# zoom into the image\n", "plt.xlim(600, 800)\n", "plt.ylim(400, 200);" ] }, { "cell_type": "markdown", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "## Creating Tracks" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Here, we create a new database (open in write mode \"w\", which creates a new database) and add all images we find in the current folder to it (:py:meth:`~.DataFile.setImage`).\n", "\n", "To add tracks to the image, we first need to define a marker_type (:py:meth:`~.DataFile.setMarkerType`). Then we create track objects for all the tracks we want to create (:py:meth:`~.DataFile.setTrack`). For add track markers for each track for each image (:py:meth:`~.DataFile.setMarkers`). In this case for demonstration purposes, we just create random walk tracks." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "from pathlib import Path\n", "\n", "# Fix the seed\n", "np.random.seed(0)\n", "\n", "# we want 10 tracks\n", "N = 10\n", "\n", "# open database\n", "with clickpoints.DataFile(\"tracking.cdb\", \"w\") as db:\n", "\n", " # add a marker type we want to use for adding track markers\n", " # it has the name \"trajectories\" and the color \"#FF0000\", e.g. red\n", " # make it a type for tracks markers (TYPE_Track)\n", " track_type = db.setMarkerType(name=\"trajectories\", color=\"#FF0000\", mode=db.TYPE_Track)\n", " \n", " # create the new tracks with the type\n", " # (Note, instead of giving the track type, we could also just provide its name \"trajectories\"\n", " tracks = []\n", " for i in range(N):\n", " track = db.setTrack(type=track_type)\n", " tracks.append(track)\n", " \n", " # Create initial positions\n", " points = np.random.rand(N, 2)\n", " \n", " \n", " # find all images in the folder and iterate over them\n", " for image_filename in Path(\".\").glob(\"frame*.jpg\"):\n", " \n", " # add the image to the database\n", " im = db.setImage(image_filename)\n", " \n", " # Move the positions (in this case we just create random walk tracks)\n", " points += np.random.rand(N, 2)-0.5\n", "\n", " # Save the new positions\n", " db.setMarkers(image=im, x=points[:, 0], y=points[:, 1], track=tracks) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [] } ], "metadata": { "celltoolbar": "Raw Cell Format", "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": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 1 }