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{Feature} Remove un-used python notebook examples. #276

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{Feature} Remove un-used python notebook examples. #276

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5db7945
{Feature} Add Gen2 - Tutorial 4 On device Eyetracking and Handtracking.
YLouWashU Oct 4, 2025
1c41aa9
{BugFix} Locking ReRun version to 0.22.1
YLouWashU Oct 4, 2025
02a5d68
{Build} 2.0.0rc1 -> 2.0.0a5.
YLouWashU Oct 4, 2025
4c31908
{Feature} Add Gen2 - Tutorial 5 On device VIO.
YLouWashU Oct 4, 2025
c8f5a56
{Feature} Add Gen2 - Tutorial 7 on MPS data usage.
YLouWashU Oct 4, 2025
595de83
{Feature} Add Gen2 - Tutorial 6 for time synchronization.
YLouWashU Oct 4, 2025
8ad4897
{Feature} Remove un-used python notebook examples.
YLouWashU Oct 4, 2025
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12 changes: 2 additions & 10 deletions examples/Gen2/python_notebooks/Tutorial_1_vrs_data_provider_basics.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -167,7 +167,7 @@
"\n",
" # Process image data\n",
" if image_data.is_valid():\n",
" rr.set_time(\"device_time\", duration = timestamp_ns * 1e-9)\n",
" rr.set_time_nanos(\"device_time\", timestamp_ns)\n",
" rr.log(\"camera_rgb\", rr.Image(image_data.to_numpy_array()))\n",
"\n",
"rr.notebook_show()\n"
Expand Down Expand Up @@ -267,21 +267,13 @@
"\n",
" # Plot to ReRun\n",
" if image_data.is_valid():\n",
" rr.set_time(\"device_time\", duration = capture_time_ns * 1e-9)\n",
" rr.set_time_nanos(\"device_time\", capture_time_ns)\n",
" rr.log(label, rr.Image(image_data.to_numpy_array()))\n",
"\n",
" query_timestamp_ns = query_timestamp_ns + int(1e9) # 1 second\n",
"\n",
"rr.notebook_show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f1ab571d-018f-4047-b857-7269463ec8fa",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand Down
34 changes: 14 additions & 20 deletions examples/Gen2/python_notebooks/Tutorial_2_device_calibration.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -334,7 +334,7 @@
"\n",
" # Plot original RGB image\n",
" timestamp_ns = image_record.capture_timestamp_ns\n",
" rr.set_time(\"device_time\", duration=timestamp_ns * 1e-9)\n",
" rr.set_time_nanos(\"device_time\", timestamp_ns)\n",
" rr.log(\"camera_rgb\", rr.Image(image_data.to_numpy_array()))\n",
"\n",
" # Undistort RGB image to a linear camera model\n",
Expand Down Expand Up @@ -382,32 +382,32 @@
" \"\"\"\n",
" rr.log(\n",
" f\"{rerun_plot_label}/accl/x[m/sec2]\",\n",
" rr.SeriesLines(colors=[230, 25, 75], names=\"accel/x[m/sec2]\"),\n",
" rr.SeriesLine(color=[230, 25, 75], name=\"accel/x[m/sec2]\"),\n",
" static=True,\n",
" ) # Red\n",
" rr.log(\n",
" f\"{rerun_plot_label}/accl/y[m/sec2]\",\n",
" rr.SeriesLines(colors=[60, 180, 75], names=\"accel/y[m/sec2]\"),\n",
" rr.SeriesLine(color=[60, 180, 75], name=\"accel/y[m/sec2]\"),\n",
" static=True,\n",
" ) # Green\n",
" rr.log(\n",
" f\"{rerun_plot_label}/accl/z[m/sec2]\",\n",
" rr.SeriesLines(colors=[0, 130, 200], names=\"accel/z[m/sec2]\"),\n",
" rr.SeriesLine(color=[0, 130, 200], name=\"accel/z[m/sec2]\"),\n",
" static=True,\n",
" ) # Blue\n",
" rr.log(\n",
" f\"{rerun_plot_label}/gyro/x[rad/sec2]\",\n",
" rr.SeriesLines(colors=[245, 130, 48], names=\"gyro/x[rad/sec2]\"),\n",
" rr.SeriesLine(color=[245, 130, 48], name=\"gyro/x[rad/sec2]\"),\n",
" static=True,\n",
" ) # Orange\n",
" rr.log(\n",
" f\"{rerun_plot_label}/gyro/y[rad/sec2]\",\n",
" rr.SeriesLines(colors=[145, 30, 180], names=\"gyro/y[rad/sec2]\"),\n",
" rr.SeriesLine(color=[145, 30, 180], name=\"gyro/y[rad/sec2]\"),\n",
" static=True,\n",
" ) # Purple\n",
" rr.log(\n",
" f\"{rerun_plot_label}/gyro/z[rad/sec2]\",\n",
" rr.SeriesLines(colors=[70, 240, 240], names=\"gyro/z[rad/sec2]\"),\n",
" rr.SeriesLine(color=[70, 240, 240], name=\"gyro/z[rad/sec2]\"),\n",
" static=True,\n",
" ) # Cyan\n",
"\n",
Expand All @@ -418,27 +418,27 @@
" \"\"\"\n",
" rr.log(\n",
" f\"{rerun_plot_label}/accl/x[m/sec2]\",\n",
" rr.Scalars(accel_data[0]),\n",
" rr.Scalar(accel_data[0]),\n",
" )\n",
" rr.log(\n",
" f\"{rerun_plot_label}/accl/y[m/sec2]\",\n",
" rr.Scalars(accel_data[1]),\n",
" rr.Scalar(accel_data[1]),\n",
" )\n",
" rr.log(\n",
" f\"{rerun_plot_label}/accl/z[m/sec2]\",\n",
" rr.Scalars(accel_data[2]),\n",
" rr.Scalar(accel_data[2]),\n",
" )\n",
" rr.log(\n",
" f\"{rerun_plot_label}/gyro/x[rad/sec2]\",\n",
" rr.Scalars(gyro_data[0]),\n",
" rr.Scalar(gyro_data[0]),\n",
" )\n",
" rr.log(\n",
" f\"{rerun_plot_label}/gyro/y[rad/sec2]\",\n",
" rr.Scalars(gyro_data[1]),\n",
" rr.Scalar(gyro_data[1]),\n",
" )\n",
" rr.log(\n",
" f\"{rerun_plot_label}/gyro/z[rad/sec2]\",\n",
" rr.Scalars(gyro_data[2]),\n",
" rr.Scalar(gyro_data[2]),\n",
" )\n",
"\n",
"\n",
Expand All @@ -464,7 +464,7 @@
" imu_data = vrs_data_provider.get_imu_data_by_index(imu_stream_id, i)\n",
"\n",
" # Plot raw IMU readings\n",
" rr.set_time(\"device_time\", duration=imu_data.capture_timestamp_ns * 1e-9)\n",
" rr.set_time_nanos(\"device_time\", imu_data.capture_timestamp_ns)\n",
"\n",
" # Get compensated imu data\n",
" compensated_accel = imu_calib.raw_to_rectified_accel(imu_data.accel_msec2)\n",
Expand Down Expand Up @@ -574,12 +574,6 @@
"\n",
"rr.notebook_show()"
]
},
{
"cell_type": "markdown",
"id": "156692c7",
"metadata": {},
"source": []
}
],
"metadata": {
Expand Down
2 changes: 1 addition & 1 deletion examples/Gen2/python_notebooks/Tutorial_3_sequential_access_multi_sensor_data.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -232,7 +232,7 @@
" image_data_and_record = sensor_data.image_data_and_record()\n",
"\n",
" # Visualize\n",
" rr.set_time(\"device_time\", duration = device_time_ns * 1e-9)\n",
" rr.set_time_nanos(\"device_time\", device_time_ns)\n",
" rr.log(stream_label, rr.Image(image_data_and_record[0].to_numpy_array()))\n",
"\n",
"rr.notebook_show()"
Expand Down
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