This repo contains a collection of complementary scripts to the main Slamcore SDK. It currently offers the following two main scripts:

• slamcore-setup-dataset
• slamcore-convert-rosbag2

slamcore-setup-dataset can be used for installing a sample dataset for offline testing and evaluation of Slamcore's Localization and Mapping capabilities.

Currently the following types of datasets are supported:

• EuRoC MAV Datasets (use the ASL Dataset Format format)
• OpenLORIS-Scene Datasets
• TUM VI Datasets (use the Euroc / DSO format)

After installation the script should be available in your path. Executing it will guide you through a list of questions in order to properly setup a sample SLAM dataset.

Here is a sample execution of the said script to enable processing of the TUM-VI dataset-room4_1024_16

Here's the same execution for the OpenLORIS cafe1-1 dataset

And here's the execution guiding the user to the right download page, when the datasets are not available locally yet.

The slamcore-convert-rosbag2 script allows you to convert datasets stored in a rosbag2-compatible format to the Slamcore dataset format. Given the path to the rosbag2 file (the .db3, .mcap) file and given mappings of ROS 2 topics to subdirectories in the Slamcore Dataset format, it will go through the rosbag2 and convert the required streams to generate the Slamcore dataset. By default, the slamcore-convert-rosbag2 is only aware of the following messages:

• geometry_msgs/PoseStamped
• geometry_msgs/PoseWithCovarianceStamped
• gps_msgs/GPSFix
• nav_msgs/Odometry
• sensor_msgs/Camera
• sensor_msgs/Imu

The user can also specify plugins for conversions of arbitrary messages - see the plugins section for more.

It's also worth noting that slamcore-convert-rosbag2 does not require the existence of the metadata.yaml file of the rosbag2 as it can read the metadata from the rosbag2 database file itself.

source /opt/ros/galactic/setup.bash
slamcore-convert-rosbag2 \
  -b tests/test_data/trimmed_rosbag2/trimmed_rosbag2_0.db3 \
  -o output \
  -c tests/test_data/trimmed_rosbag2.json

Notes:

• A test rosbag2 is included in the test directory of this repo. It's in the mcap format. For Ubuntu 20.04 and the galactic distribution, you will have to install the ros-galactic-rosbag2-storage-mcap package to process a rosbag2 in this format.

• The following mappings are used:

  cat tests/test_data/trimmed_rosbag2.json

  {
    "ir0": {
      "topic": "/slamcore/visible_0/image_raw"
    },
    "ir1": {
      "topic": "/slamcore/visible_1/image_raw"
    },
    "imu0": {
      "topic": "/irrelevant_imu"
    },
    "odometry0": {
      "topic": "/slamcore/odom"
    },
    "groundtruth0": {
      "topic": "/irrelevant_gts"
    }
  }

• The layout of the output directory is as follows:

  tree -L 2 output

  output/
  ├── groundtruth0
  │   └── data.csv
  ├── imu0
  │   ├── acc.csv
  │   └── gyro.csv
  ├── ir0
  │   ├── data
  │   └── data.csv
  ├── ir1
  │   ├── data
  │   └── data.csv
  ├── metadata.txt
  └── odometry0
      └── data.csv
  

• You should expect output like the following during execution

  Command execution output

  13:25:24 | WARNING  -  Output path already exists. Overwriting it...
  13:25:24 | WARNING  -
  
  Configuration:
  ===============
  
    - Input bag file            : tests/test_data/trimmed_rosbag2/trimmed_rosbag2_0.db3
    - Storage                   : sqlite3
    - Output directory          : output
    - Converter plugins 0       : None
    - Overwrite output directory: True
  
  INFO | 1685528724.276752680 | rosbag2_storage | Opened database 'tests/test_data/trimmed_rosbag2/trimmed_rosbag2_0.db3' for READ_ONLY.
  INFO | 1685528724.360516990 | rosbag2_storage | Opened database 'tests/test_data/trimmed_rosbag2/trimmed_rosbag2_0.db3' for READ_ONLY.
  13:25:24 | WARNING  -  Finished converting tests/test_data/trimmed_rosbag2/trimmed_rosbag2_0.db3 -> output .
  

  You can also increase the verbosity of the tool with -v (for INFO) or with -vv for (for DEBUG and INFO) messages .

  Command execution output with -vv

  13:26:01 | INFO     -  Determined storage type sqlite3 from file extension .db3
  13:26:01 | WARNING  -  Output path already exists. Overwriting it...
  13:26:01 | WARNING  -
  
  Configuration:
  ===============
  
    - Input bag file            : tests/test_data/trimmed_rosbag2/trimmed_rosbag2_0.db3
    - Storage                   : sqlite3
    - Output directory          : output
    - Converter plugins 0       : None
    - Overwrite output directory: True
  
  INFO | 1685528761.113749019 | rosbag2_storage | Opened database 'tests/test_data/trimmed_rosbag2/trimmed_rosbag2_0.db3' for READ_ONLY.
  INFO | 1685528761.195022167 | rosbag2_storage | Opened database 'tests/test_data/trimmed_rosbag2/trimmed_rosbag2_0.db3' for READ_ONLY.
  13:26:01 | DEBUG    -  Rosbag metadata:
  
  Files:             tests/test_data/trimmed_rosbag2/trimmed_rosbag2_0.db3
  Bag size:          36.4 MiB
  Storage id:        sqlite3
  Duration:          16.350s
  Start:             May 31 2023 10:55:05.54 (1685519705.54)
  End:               May 31 2023 10:55:21.404 (1685519721.404)
  Messages:          94576
  Topic information: Topic: /irrelevant_gts | Type: geometry_msgs/msg/PoseStamped | Count: 490 | Serialization Format: cdr
                    Topic: /irrelevant_imu | Type: sensor_msgs/msg/Imu | Count: 817 | Serialization Format: cdr
                    Topic: /slamcore/accel | Type: sensor_msgs/msg/Imu | Count: 34530 | Serialization Format: cdr
                    Topic: /slamcore/gyro | Type: sensor_msgs/msg/Imu | Count: 34530 | Serialization Format: cdr
                    Topic: /slamcore/metadata/distance_travelled | Type: std_msgs/msg/Float64 | Count: 3453 | Serialization Format: cdr
                    Topic: /slamcore/metadata/num_features | Type: std_msgs/msg/Int64 | Count: 3453 | Serialization Format: cdr
                    Topic: /slamcore/metadata/slam_event | Type: slamcore_msgs/msg/SLAMEvent | Count: 3 | Serialization Format: cdr
                    Topic: /slamcore/metadata/tracked_features | Type: std_msgs/msg/Int64 | Count: 6906 | Serialization Format: cdr
                    Topic: /slamcore/metadata/tracking_status | Type: slamcore_msgs/msg/TrackingStatus | Count: 3454 | Serialization Format: cdr
                    Topic: /slamcore/odom | Type: nav_msgs/msg/Odometry | Count: 3453 | Serialization Format: cdr
                    Topic: /slamcore/pose | Type: geometry_msgs/msg/PoseStamped | Count: 3453 | Serialization Format: cdr
                    Topic: /slamcore/visible_0/camera_info | Type: sensor_msgs/msg/CameraInfo | Count: 7 | Serialization Format: cdr
                    Topic: /slamcore/visible_0/image_raw | Type: sensor_msgs/msg/Image | Count: 11 | Serialization Format: cdr
                    Topic: /slamcore/visible_1/camera_info | Type: sensor_msgs/msg/CameraInfo | Count: 8 | Serialization Format: cdr
                    Topic: /slamcore/visible_1/image_raw | Type: sensor_msgs/msg/Image | Count: 8 | Serialization Format: cdr
  
  13:26:01 | INFO     -  Validating input config file and contents of rosbag...
  13:26:01 | DEBUG    -  Mapping Infrared        - /slamcore/visible_0/image_raw -> ir0...
  13:26:01 | DEBUG    -  Mapping Infrared        - /slamcore/visible_1/image_raw -> ir1...
  13:26:01 | DEBUG    -  Mapping Imu             - /irrelevant_imu -> imu0...
  13:26:01 | DEBUG    -  Mapping Odometry        - /slamcore/odom -> odometry0...
  13:26:01 | DEBUG    -  Mapping GroundTruth     - /irrelevant_gts -> groundtruth0...
  13:26:01 | INFO     -  Consuming rosbag...
  13:26:01 | INFO     -  Consumed rosbag.
  13:26:01 | INFO     -  Flushing pending data...
  13:26:01 | INFO     -  Flushed pending data.
  13:26:01 | WARNING  -  Finished converting tests/test_data/trimmed_rosbag2/trimmed_rosbag2_0.db3 -> output .
  

In addition to the standard message types specified in the tool's description, the slamcore-convert-rosbag2 tool allows the conversion of arbitrary topics given that you teach it how to convert them and what type of messages they are. You can specify this in a separate python module, and specify this module's path during the slamcore-convert-rosbag2 execution. For example, here's one plugin to convert the TrackingStatus messages published by the Slamcore ROS 2 wrapper

from slamcore_utils import DatasetSubdirWriter, MeasurementType
from slamcore_utils.ros2 import Ros2ConverterPlugin

class TrackingStatusWriter(DatasetSubdirWriter):
    def __init__(self, directory):
        super().__init__(directory=directory)

        self.ofs_tracking_status = (self.directory / "data.csv").open("w", newline="")
        self.csv_tracking_status = csv.writer(self.ofs_tracking_status, delimiter=",")
        self.csv_tracking_status.writerow(["tracking_status_val", "tracking_status_str"])

    def write(self, msg):
        if msg.data is TrackingStatus.NOT_INITIALISED:
            self.csv_tracking_status.writerow([msg.data, "NOT_INITIALISED"])
        elif msg.data is TrackingStatus.OK:
            self.csv_tracking_status.writerow([msg.data, "OK"])
        elif msg.data is TrackingStatus.LOST:
            self.csv_tracking_status.writerow([msg.data, "LOST"])
        else:
            logger.error(f"Unknown TrackingStatus {msg.data}")

    def teardown(self):
        self.ofs_tracking_status.close()

converter_plugins = [
    Ros2ConverterPlugin(
        writer_type=TrackingStatusWriter,
        measurement_type=MeasurementType(
            name="TrackingStatus", shortname="tracking_status", is_camera=False
        ),
        topic_type="slamcore_msgs/msg/TrackingStatus",
    ),
  ]

You can then specify the path to the plugin above during the tool execution and specify the extra topics to convert in the provided JSON file

  ...

  "tracking_status0": {
    "topic": "/slamcore/metadata/tracking_status"
  },

  ...

slamcore-convert-rosbag2 \
  -b tests/test_data/trimmed_rosbag2/trimmed_rosbag2_0.db3 \
  -o output -c ammended_trimmed_rosbag2.json
  -p /path/to/plugin.py

This will, in addition to the standard topics conversion also write the tracking status data to the output/tracking_status0/data.csv file.

You can also have a look at the blackbox test of the plugins at slamcore_convert_rosbag2_with_plugin and at test_ros2_conversions.py

Install it directly from PyPI:

pip3 install --user --upgrade slamcore_utils[tqdm]

# Or if you don't want tqdm's polished progress bars
pip3 install --user --upgrade slamcore_utils

# Always install the `ros2` extra if you intend to use the
# `slamcore-convert-rosbag2` executable
pip3 install --user --upgrade slamcore_utils[ros2]

pip3 install -r requirements.txt

git clone https://github.com/slamcore/slamcore_utils
cd slamcore_utils
export PYTHONPATH=$PYTHONPATH:$PWD
./slamcore_utils/scripts/setup_dataset.py

git clone https://github.com/slamcore/slamcore_utils
cd slamcore_utils
poetry install
poetry shell

# the executables should now be available in your $PATH
setup-dataset

Slamcore offers commercial-grade visual-inertial simultaneous localisation and mapping (SLAM) software for real-time autonomous navigation on robots and drones. Find out more at slamcore.com.