diff --git a/source/tutorials/interpolate_and_concat.ipynb b/source/tutorials/interpolate_and_concat.ipynb index 6dd1a44..e0a170e 100644 --- a/source/tutorials/interpolate_and_concat.ipynb +++ b/source/tutorials/interpolate_and_concat.ipynb @@ -4,37 +4,41 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Interpolate Data and Concatenate Channels\n", + "# Interpolate data and concatenate streams\n", "\n", "Informative as it is, raw Neon data is not always easy to work with. Different data streams (e.g., gaze, eye states, IMU) are sampled at different rates, don't necessarily share a common start timestamp, and within each stream data might not have been sampled at a constant rate. This tutorial demonstrates how to deal with these issues by interpolating data streams and concatenating them into a single DataFrame.\n", "\n", - "We will use the same ``OfficeWalk`` dataset as in the [previous tutorial](read_recording.ipynb)." + "We will use the same ``boardView`` dataset as in the [previous tutorial](read_recording.ipynb)." ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", - "from pyneon import get_sample_data, NeonRecording, time_to_ts\n", + "from pyneon import get_sample_data, NeonRecording\n", "\n", "import matplotlib.pyplot as plt\n", "\n", - "recording_dir = get_sample_data(\"OfficeWalk\") / \"Timeseries Data\" / \"walk1-e116e606\"" + "recording_dir = (\n", + " get_sample_data(\"boardView\")\n", + " / \"Timeseries Data + Scene Video\"\n", + " / \"boardview1-d4fd9a27\"\n", + ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can now access raw data from gaze, eye states, and IMU streams." + "We now access raw data from gaze, eye states, and IMU streams." ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -48,58 +52,105 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Unequally sampled data\n", + "## Irregularly sampled data\n", + "Data points from each stream are indexed by `timestamp [ns]`, which denotes the UTC time of the sample in nanoseconds. But are these samples equally spaced in time? Let's take a look at the first few samples of each stream, where, due to device boot-up, the sampling may be irregular." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Take the first 0.5 seconds of gaze data\n", + "gaze_begin = gaze.crop(0, 0.5, by=\"time\")\n", + "# And the corresponding eye states and IMU data\n", + "eye_states_begin = eye_states.restrict(gaze_begin)\n", + "imu_begin = imu.restrict(gaze_begin)\n", + "\n", "\n", - "Data from each stream has `timestamp [ns]` and `time [s]` columns, which denotes the UTC time of the sample in nanoseconds and the relative time since stream onset in seconds, respectively. But are they equally spaced in time? Let's explore that by computing the time differences between consecutive samples for each stream and check how many unique values we have. If the data was sampled at a constant rate, we should have only one unique value." + "# Define a function to plot the timestamps of the gaze, eye states, and IMU data\n", + "def plot_timestamps(gaze, eye_states, imu):\n", + " _, ax = plt.subplots(figsize=(8, 2))\n", + " ax.scatter(gaze.ts, np.ones_like(gaze.ts), s=5)\n", + " ax.scatter(eye_states.ts, np.ones_like(eye_states.ts) * 2, s=5)\n", + " ax.scatter(imu.ts, np.ones_like(imu.ts) * 3, s=5)\n", + " ax.set_yticks([1, 2, 3])\n", + " ax.set_yticklabels([\"Gaze\", \"Eye states\", \"IMU\"])\n", + " ax.set_ylim(0.5, 3.5)\n", + " ax.set_xlabel(\"Timestamp (ns)\")\n", + " plt.show()\n", + "\n", + "\n", + "plot_timestamps(gaze_begin, eye_states_begin, imu_begin)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As apparent from the figure above, in addition to the apparently later onset of IMU data, during the first 0.5 seconds of the recording the data suffers from dropouts and irregular sampling. While this is a common issue for the first few samples due to device boot-up, it could also happen at any time during the recording. For example, even in the middle of a recording (5 - 5.5 seconds), some irregular sampling might still be observed:" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 31, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Unique gaze time differences: 130, max: 115.123ms\n", - "Unique eye states time differences: 130, max: 115.123ms\n", - "Unique imu time differences: 1106, max: 230.444ms\n" - ] + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "# Unique values\n", - "gaze_diff_unique = np.unique(gaze.ts_diff)\n", - "eye_states_diff_unique = np.unique(eye_states.ts_diff)\n", - "imu_diff_unique = np.unique(imu.ts_diff)\n", + "gaze_middle = gaze.crop(5, 5.5, by=\"time\")\n", + "eye_states_middle = eye_states.restrict(gaze_middle)\n", + "imu_middle = imu.restrict(gaze_middle)\n", "\n", - "print(\n", - " f\"Unique gaze time differences: {len(gaze_diff_unique)}, max: {np.max(gaze_diff_unique)/1e6}ms\"\n", - ")\n", - "print(\n", - " f\"Unique eye states time differences: {len(eye_states_diff_unique)}, max: {np.max(eye_states_diff_unique)/1e6}ms\"\n", - ")\n", - "print(\n", - " f\"Unique imu time differences: {len(imu_diff_unique)}, max: {np.max(imu_diff_unique)/1e6}ms\"\n", - ")" + "plot_timestamps(gaze_middle, eye_states_middle, imu_middle)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Oops, it seems the data are far from being continuously sampled. We can further explore the distribution of such differences by plotting a histogram." + "Some irregular sampling in the IMU data is observed in this segment of the recording as well. How frequent are these irregularities? Let's take a look at the distribution of the time differences between consecutive samples, and compare them to the expected time difference for a regular, nominal (as specified by Pupil Labs) sampling rate." ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 37, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nominal sampling frequency of gaze: 200 Hz. Actual: 199.36 Hz\n", + "Nominal sampling frequency of eye states: 200 Hz. Actual: 199.36 Hz\n", + "Nominal sampling frequency of IMU: 110 Hz. Actual: 113.88 Hz\n" + ] + }, { "data": { - "image/png": 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", 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", 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" ] @@ -109,51 +160,69 @@ } ], "source": [ - "gaze_nominal_diff = 1e9 / gaze.sampling_freq_nominal\n", - "eye_states_nominal_diff = 1e9 / eye_states.sampling_freq_nominal\n", - "imu_nominal_diff = 1e9 / imu.sampling_freq_nominal\n", + "print(\n", + " f\"Nominal sampling frequency of gaze: {gaze.sampling_freq_nominal} Hz. \"\n", + " f\"Actual: {gaze.sampling_freq_effective:.2f} Hz\"\n", + ")\n", + "print(\n", + " f\"Nominal sampling frequency of eye states: {eye_states.sampling_freq_nominal} Hz. \"\n", + " f\"Actual: {eye_states.sampling_freq_effective:.2f} Hz\"\n", + ")\n", + "print(\n", + " f\"Nominal sampling frequency of IMU: {imu.sampling_freq_nominal} Hz. \"\n", + " f\"Actual: {imu.sampling_freq_effective:.2f} Hz\"\n", + ")\n", "\n", "fig, axs = plt.subplots(3, 1, tight_layout=True)\n", "\n", "axs[0].hist(gaze.ts_diff, bins=50)\n", - "axs[0].axvline(gaze_nominal_diff, color=\"red\", label=\"Nominal\")\n", + "axs[0].axvline(1e9 / gaze.sampling_freq_nominal, c=\"red\", label=\"Nominal\")\n", "axs[0].set_title(\"Gaze\")\n", "\n", "axs[1].hist(eye_states.ts_diff, bins=50)\n", - "axs[1].axvline(eye_states_nominal_diff, color=\"red\", label=\"Nominal\")\n", + "axs[1].axvline(1e9 / eye_states.sampling_freq_nominal, c=\"red\", label=\"Nominal\")\n", "axs[1].set_title(\"Eye states\")\n", "\n", "axs[2].hist(imu.ts_diff, bins=50)\n", - "axs[2].axvline(imu_nominal_diff, color=\"red\", label=\"Nominal\")\n", + "axs[2].axvline(1e9 / imu.sampling_freq_nominal, c=\"red\", label=\"Nominal\")\n", "axs[2].set_title(\"IMU\")\n", + "axs[2].set_xlabel(\"Time difference [ns]\")\n", "\n", "for i in range(3):\n", " axs[i].set_yscale(\"log\")\n", - " axs[i].set_xlabel(\"Time difference [ns]\")\n", " axs[i].set_ylabel(\"Counts\")\n", " axs[i].legend()\n", "plt.show()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For gaze and eye states data, the empirical distribution of time differences is close to the expected value (though with some integer multiples of the nominal sampling rate, which hints at possible eye video frame drops). For IMU data, the distribution is much wider." + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Interpolating data streams\n", "\n", - "Given the unequal sampling, if we want to obtain continuous data streams, interpolation is necessary. PyNeon uses the `scipy.interpolate.interp1d` function to interpolate data streams. We can interpolate each stream by simply calling `interpolate()` which returns a copy of the object with the interpolated data." + "Given the presence of irregular sampling, if you want to perform analyses that assume continuous data streams, interpolation is necessary. PyNeon uses the `scipy.interpolate.interp1d` [(API reference)](https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.interp1d.html) function to interpolate data streams. For instances of `NeonStream`, we can call `interpolate()` which returns a copy of the object with the data interpolated with the default parameters." ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Only one unique time difference: [5000000]\n" + "Nominal sampling frequency of gaze: 200 Hz. Actual (after interpolation): 200.03 Hz\n", + "Only one unique time difference: [5000000]\n", + "The new gaze stream is uniformly sampled: True\n" ] } ], @@ -161,30 +230,42 @@ "# Resample to the nominal sampling frequency\n", "gaze_resampled = gaze.interpolate()\n", "\n", - "print(f\"Only one unique time difference: {np.unique(gaze_resampled.ts_diff)}\")" + "# Three ways you can check if the resampling was successful:\n", + "# 1. Compare the effective sampling frequency to the nominal sampling frequency\n", + "print(\n", + " f\"Nominal sampling frequency of gaze: {gaze_resampled.sampling_freq_nominal} Hz. \"\n", + " f\"Actual (after interpolation): {gaze_resampled.sampling_freq_effective:.2f} Hz\"\n", + ")\n", + "# 2. Check the number of unique time differences\n", + "print(f\"Only one unique time difference: {np.unique(gaze_resampled.ts_diff)}\")\n", + "# 3. Call the `is_uniformly_sampled` property (boolean)\n", + "print(\n", + " f\"The new gaze stream is uniformly sampled: {gaze_resampled.is_uniformly_sampled}\"\n", + ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In the above example, we resampled the gaze data with default parameters, which means that the resampled data will have the same start and timestamps as the original data, and the sampling rate is set to the nominal sampling frequency (200 Hz, as specified by Pupil Labs). Notice that resampling would not change the data type of the columns. For example, the `bool`-type `worn` column and the integer-type `fixation_id` column are preserved. \n", + "In the above example, we resampled the gaze data with default parameters, which means that the resampled data will have the same start and timestamps as the original data, and the sampling rate is set to the nominal sampling frequency (200 Hz, as specified by Pupil Labs). Notice that resampling would not change the data type of the columns. For example, the `bool`-type `worn` column and the integer-type `fixation_id` column are preserved.\n", + "nominal sampling rate (you can also customize by passing the `new_ts` argument).\n", "\n", "Alternatively, one can also resample the gaze data to any desired timestamps by specifying the `new_ts` parameter. This is especially helpful when synchronizing different data streams. For example, we can resample the gaze data (~200Hz) to the timestamps of the IMU data (~110Hz)." ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Original gaze data length: 18769\n", - "Original IMU data length: 10919\n", - "Gaze data length after resampling to IMU: 10919\n" + "Original gaze data length: 6091\n", + "Original IMU data length: 3459\n", + "Gaze data length after resampling to IMU: 3459\n" ] } ], @@ -210,7 +291,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -222,49 +303,49 @@ "\t3D eye states\n", "\tIMU\n", "Using lowest sampling rate: 110 Hz (['imu'])\n", - "Using latest start timestamp: 1725032224878547732 (['imu'])\n", - "Using earliest last timestamp: 1725032319533909732 (['imu'])\n", + "Using latest start timestamp: 1732621490607650343 (['imu'])\n", + "Using earliest last timestamp: 1732621520979070343 (['gaze' '3d_eye_states'])\n", " gaze x [px] gaze y [px] worn fixation id blink id \\\n", - "1725032224878547732 1073.410354 611.095861 True 1 \n", - "1725032224887638641 1069.801082 613.382535 True 1 \n", - "1725032224896729550 1070.090109 613.439696 True 1 \n", - "1725032224905820459 1069.891351 612.921757 True 1 \n", - "1725032224914911368 1069.692588 612.403803 True 1 \n", + "1732621490607650343 705.518843 554.990998 1 1 \n", + "1732621490616741252 704.882466 553.793144 1 1 \n", + "1732621490625832161 707.703787 556.712159 1 1 \n", + "1732621490634923070 711.389879 553.846843 1 1 \n", + "1732621490644013979 709.281775 555.543777 1 1 \n", "\n", " azimuth [deg] elevation [deg] pupil diameter left [mm] \\\n", - "1725032224878547732 16.591703 -0.129540 5.036588 \n", - "1725032224887638641 16.360605 -0.274666 5.093205 \n", - "1725032224896729550 16.379116 -0.278283 5.078107 \n", - "1725032224905820459 16.366379 -0.245426 5.077680 \n", - "1725032224914911368 16.353641 -0.212567 5.077253 \n", + "1732621490607650343 -7.085339 3.473196 3.346414 \n", + "1732621490616741252 -7.126717 3.550038 3.363306 \n", + "1732621490625832161 -6.944033 3.363048 3.368352 \n", + "1732621490634923070 -6.707339 3.547815 3.365432 \n", + "1732621490644013979 -6.842683 3.438366 3.374732 \n", "\n", " pupil diameter right [mm] eyeball center left x [mm] \\\n", - "1725032224878547732 4.254749 -31.742046 \n", - "1725032224887638641 4.358431 -31.746807 \n", - "1725032224896729550 4.439704 -31.700505 \n", - "1725032224905820459 4.442760 -31.711353 \n", - "1725032224914911368 4.445815 -31.722201 \n", + "1732621490607650343 3.360563 -32.282935 \n", + "1732621490616741252 3.359459 -32.249418 \n", + "1732621490625832161 3.350918 -32.216781 \n", + "1732621490634923070 3.361014 -32.249155 \n", + "1732621490644013979 3.365781 -32.234159 \n", "\n", " ... acceleration x [g] acceleration y [g] \\\n", - "1725032224878547732 ... 0.063477 -0.058594 \n", - "1725032224887638641 ... 0.057486 -0.048916 \n", - "1725032224896729550 ... 0.051494 -0.039238 \n", - "1725032224905820459 ... 0.046721 -0.045800 \n", - "1725032224914911368 ... 0.042113 -0.054556 \n", + "1732621490607650343 ... -0.067383 -0.340820 \n", + "1732621490616741252 ... -0.062619 -0.315917 \n", + "1732621490625832161 ... -0.052682 -0.329993 \n", + "1732621490634923070 ... -0.058795 -0.334090 \n", + "1732621490644013979 ... -0.060815 -0.322199 \n", "\n", " acceleration z [g] roll [deg] pitch [deg] yaw [deg] \\\n", - "1725032224878547732 0.940430 -2.550682 -4.461626 -172.335180 \n", - "1725032224887638641 0.942273 -2.602498 -4.493445 -172.562393 \n", - "1725032224896729550 0.944117 -2.654314 -4.525265 -172.789613 \n", - "1725032224905820459 0.944336 -2.699777 -4.556964 -173.013398 \n", - "1725032224914911368 0.944336 -2.744383 -4.588647 -173.236726 \n", + "1732621490607650343 0.932129 1.923968 -20.230545 132.920122 \n", + "1732621490616741252 0.925714 1.923949 -20.227639 132.924402 \n", + "1732621490625832161 0.924432 1.920479 -20.228228 132.927574 \n", + "1732621490634923070 0.931812 1.916587 -20.228839 132.931756 \n", + "1732621490644013979 0.925476 1.916104 -20.227092 132.937429 \n", "\n", " quaternion w quaternion x quaternion y quaternion z \n", - "1725032224878547732 0.067636 -0.024792 0.037342 -0.996703 \n", - "1725032224887638641 0.065682 -0.025185 0.037639 -0.996810 \n", - "1725032224896729550 0.063728 -0.025579 0.037936 -0.996917 \n", - "1725032224905820459 0.061802 -0.025917 0.038238 -0.997017 \n", - "1725032224914911368 0.059879 -0.026247 0.038541 -0.997115 \n", + "1732621490607650343 0.395828 -0.085287 -0.154390 0.901227 \n", + "1732621490616741252 0.395796 -0.085271 -0.154370 0.901246 \n", + "1732621490625832161 0.395766 -0.085242 -0.154389 0.901258 \n", + "1732621490634923070 0.395728 -0.085207 -0.154411 0.901275 \n", + "1732621490644013979 0.395683 -0.085190 -0.154403 0.901297 \n", "\n", "[5 rows x 34 columns]\n" ] @@ -284,28 +365,19 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 36, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "NameError", + "evalue": "name 'time_to_ts' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[36], line 3\u001b[0m\n\u001b[0;32m 1\u001b[0m start_time \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m5\u001b[39m\n\u001b[0;32m 2\u001b[0m end_time \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m5.3\u001b[39m\n\u001b[1;32m----> 3\u001b[0m start_ts \u001b[38;5;241m=\u001b[39m \u001b[43mtime_to_ts\u001b[49m(start_time, concat_stream)\n\u001b[0;32m 4\u001b[0m end_ts \u001b[38;5;241m=\u001b[39m time_to_ts(end_time, concat_stream)\n\u001b[0;32m 6\u001b[0m raw_gaze_data_slice \u001b[38;5;241m=\u001b[39m gaze\u001b[38;5;241m.\u001b[39mdata[\n\u001b[0;32m 7\u001b[0m (gaze\u001b[38;5;241m.\u001b[39mdata[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtimestamp [ns]\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m start_ts) \u001b[38;5;241m&\u001b[39m (gaze\u001b[38;5;241m.\u001b[39mdata[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtimestamp [ns]\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m<\u001b[39m\u001b[38;5;241m=\u001b[39m end_ts)\n\u001b[0;32m 8\u001b[0m ]\n", + "\u001b[1;31mNameError\u001b[0m: name 'time_to_ts' is not defined" + ] } ], "source": [ @@ -371,30 +443,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# plot imu data and interpolated data in same plot\n", "plt.figure(figsize=(16, 3))\n", @@ -416,7 +467,7 @@ ], "metadata": { "kernelspec": { - "display_name": "pyneon", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -430,7 +481,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.4" + "version": "3.12.6" } }, "nbformat": 4, diff --git a/source/tutorials/read_recording.ipynb b/source/tutorials/read_recording.ipynb index 2e604bf..040afb6 100644 --- a/source/tutorials/read_recording.ipynb +++ b/source/tutorials/read_recording.ipynb @@ -199,9 +199,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "recording.gaze is \n", - "recording.saccades is \n", - "recording.video is < cv2.VideoCapture 000001BD62F53F50>\n" + "recording.gaze is \n", + "recording.saccades is \n", + "recording.video is < cv2.VideoCapture 00000199629C75D0>\n" ] } ], @@ -241,7 +241,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Data as dataframes\n", + "## Data as DataFrames\n", "\n", "The essence of `NeonTabular` is the `data` attribute—a `pandas.DataFrame`. This is a common data structure in Python for handling tabular data. For example, you can print the first 5 rows of the gaze data by calling `gaze.data.head()`, and inspect the data type of each column by calling `gaze.data.dtypes`." ] @@ -507,9 +507,9 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -521,7 +521,7 @@ "import seaborn as sns\n", "\n", "# Create a figure\n", - "fig, ax = plt.subplots(figsize=(10, 4))\n", + "fig, ax = plt.subplots(figsize=(8, 3))\n", "\n", "# Visualize the 1st saccade\n", "for _, sac in saccades_crop.data.iterrows():\n", @@ -544,7 +544,7 @@ " color=\"g\",\n", " label=\"Gaze y\",\n", ")\n", - "ax.set_ylabel(\"Gaze location (pixels)\")\n", + "ax.set_ylabel(\"Gaze location [px]\")\n", "plt.legend()\n", "plt.show()" ] diff --git a/source/tutorials/video.ipynb b/source/tutorials/video.ipynb index 00e03b7..6dc2386 100644 --- a/source/tutorials/video.ipynb +++ b/source/tutorials/video.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Mapping Scanpath to video\n", + "# Scene video and scanpath mapping\n", "\n", "In this tutorial, we will map gaze data from an eye-tracking recording to video frames, estimate a scanpath, and overlay the gaze fixations on the video. We will use the `pyneon` library to work with Neon eye-tracking recordings, which contain video and event data, including gaze information.\n", "\n", @@ -264,7 +264,7 @@ ], "metadata": { "kernelspec": { - "display_name": "pyneon", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -278,7 +278,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.5" + "version": "3.12.6" } }, "nbformat": 4,