Kappe

Kappe is an efficient data migration tool designed to seamlessly convert and split MCAP files.

Installation

pip install kappe

or

uv tool install kappe

or

uvx kappe

Usage

Create a yaml config file containing the migrations you want to perform.

Example:

config.yaml

topic:
  mapping:
    /points: /sensor/points

Run the converter:

kappe convert --config config.yaml ./input.mcap

Convert

kappe convert [-h] [--config CONFIG] [--overwrite] input output

For complete option details use kappe convert --help.

Converts a single file or a directory of files to the MCAP format.

Topic

Rename a topic

topic:
  mapping:
    /points: /sensor/points

Remove a topic

topic:
  remove:
    - /points

Frame ID Mapping

To change the frame_id for specific topics globally, you can use frame_id_mapping in your configuration:

frame_id_mapping:
  "/imu/data": "imu_link_new"
  "/lidar/points": "lidar_frame_new"

Drop Messages

To drop every nth message from a topic:

topic:
  drop:
    /high_frequency_topic: 2 # Keep every 2nd message
    /camera/image: 10 # Keep every 10th message

Topic Times

The time_offset config manipulates the mcap message time and/or the ROS header timestamp. When using default as topic name, the config will be applied to all messages.

Update the ROS header time

Adds 8 second and 300 nanosec to the ROS header.

time_offset:
  /sensor/points:
    sec: 8
    nanosec: 300

Change ROS Timestamp to publish time

Change the time of the ROS Timestamp to the time the message was published.

time_offset:
  /sensor/points:
    pub_time: True

Change MCAP pub/log time from ROS header

Update the log/pub time from the ROS header. If pub_time is set, pub time will be used as source. If sec and/or nanosec is set, the offset is used.

time_offset:
  /sensor/points:
    update_publish_time: True
    update_log_time: True

Add a time offset to ROS Timestamp

Add 15 seconds to the ROS Timestamp.

time_offset:
  /sensor/points:
    sec: 15
    nanosec: 0

Pointcloud

Remove zero points from PointCloud2

point_cloud:
  /sensor/points:
    remove_zero: true

Rotate a pointcloud

point_cloud:
  /sensor/points:
    rotation:
      euler_deg:
        - 180
        - 0
        - 0

Remove ego bounding box points from the pointcloud

point_cloud:
  /sensor/points:
    ego_bounds:
      x:
        min: -1.0
        max: 2.0
      y:
        min: -0.5
        max: 0.5
      z:
        min: -0.2
        max: 1.5

Rename PointCloud2 field name

Changes the field name of the PointCloud2 message, from AzimuthAngle to azimuth_angle.

point_cloud:
  /sensor/points:
    field_mapping:
      AzimuthAngle: azimuth_angle

TF

To update a static transform you need to remove the old one and insert a new one.

Remove Transform

Removes transforms from /tf and /tf_static messages where the child_frame_id matches the specified values.

For /tf messages:

tf:
  remove:
    - test_data_frame
    - other_frame

For /tf_static messages:

tf_static:
  remove:
    - test_data_frame
    - other_frame

Or remove all transforms by using the string "all":

tf_static:
  remove: all

Insert Static Transform

Rotation can be specified in euler_deg or quaternion

tf_static:
  insert:
    - frame_id: base
      child_frame_id: also_base

    - frame_id: base
      child_frame_id: sensor
      translation:
        x: -0.1
        y: 0
        z: 0.1
      rotation:
        euler_deg:
          - 0
          - 90
          - 0

Apply Transform Offsets

Apply translation and rotation offsets to existing transforms in both /tf and /tf_static messages. The offsets are added to the current transform values.

Rotation can be specified in euler_deg or quaternion

For /tf messages:

tf:
  offset:
    - child_frame_id: sensor_frame
      translation:
        x: 0.1
        y: -0.05
        z: 0.2
      rotation:
        euler_deg:
          - 0
          - 0
          - 45

For /tf_static messages:

tf_static:
  offset:
    - child_frame_id: sensor_frame
      translation:
        x: 0.1
        y: -0.05
        z: 0.2
      rotation:
        euler_deg:
          - 0
          - 0
          - 45

    - child_frame_id: camera_frame
      translation:
        x: -0.1
        y: 0.0
        z: 0.0
      rotation:
        quaternion:
          - 0.0
          - 0.0
          - 0.3827
          - 0.9239

Schema Mapping

If the new schema is not already in the mcap, kappe will try to load it either from your ROS2 environment or from ./msgs.

msg_schema:
  mapping:
    std_msgs/Int32: std_msgs/Int64

Trim

Trim the mcap file to a specific time range.

time_start:  1676549454.0
time_end:    1676549554.0

Plugins

Kappe can be extended with plugins, for example to compress images or update camera calibration. Source code for plugins can be found in src/kappe/plugins/, additional plugins can be loaded from ./plugins.

Available built-in plugins:

• image.CompressImage - Compress RGB images to JPEG
• image.CropImage - Crop images to specified bounds
• camera_info.UpdateCameraInfo - Update camera calibration parameters
• camera_info.InsertCameraInfo - Insert camera calibration from image topics

plugins:
  - name: image.CompressImage
    input_topic: /image
    output_topic: /compressed/image
    settings:
      quality: 50

  - name: camera_info.UpdateCameraInfo
    input_topic: /camera/camera_info
    output_topic: /camera/camera_info # Must remove /camera/camera_info topic (see above)
    settings:
      camera_info: # https://wiki.ros.org/camera_calibration_parsers#File_formats
        image_height: 1080
        image_width: 1920
        camera_matrix:
          rows: 3
          cols: 3
          data:
            - 1070.0691945956082
            - 0.0
            - 783.0877059808756
            - 0.0
            - 1082.911613625781
            - 544.1453400605368
            - 0.0
            - 0.0
            - 1.0
        distortion_model: plumb_bob
        distortion_coefficients:
          rows: 1
          cols: 5
          data:
            - -0.317162192616218
            - 0.09863188458267099
            - 0.009339815359941763
            - -0.000817443220874783
            - 0.0
        rectification_matrix:
          rows: 3
          cols: 3
          data:
            - 1.0
            - 0.0
            - 0.0
            - 0.0
            - 1.0
            - 0.0
            - 0.0
            - 0.0
            - 1.0
        projection_matrix:
          rows: 3
          cols: 4
          data:
            - 1070.0691945956082
            - 0.0
            - 783.0877059808756
            - 0.0
            - 0.0
            - 1082.911613625781
            - 544.1453400605368
            - 0.0
            - 0.0
            - 0.0
            - 1.0
            - 0.0
  - name: camera_info.InsertCameraInfo
    input_topic: /camera/image_raw
    output_topic: /camera/camera_info
    settings:
      camera_info:  # https://wiki.ros.org/camera_calibration_parsers#File_formats
        image_height: 1080
        image_width: 1920
        camera_matrix:
          rows: 3
          cols: 3
          data:
            - 1070.0691945956082
            - 0.0
            - 783.0877059808756
            - 0.0
            - 1082.911613625781
            - 544.1453400605368
            - 0.0
            - 0.0
            - 1.0
        distortion_model: plumb_bob
        distortion_coefficients:
          rows: 1
          cols: 5
          data:
            - -0.317162192616218
            - 0.09863188458267099
            - 0.009339815359941763
            - -0.000817443220874783
            - 0.0
        rectification_matrix:
          rows: 3
          cols: 3
          data:
            - 1.0
            - 0.0
            - 0.0
            - 0.0
            - 1.0
            - 0.0
            - 0.0
            - 0.0
            - 1.0
        projection_matrix:
          rows: 3
          cols: 4
          data:
            - 1070.0691945956082
            - 0.0
            - 783.0877059808756
            - 0.0
            - 0.0
            - 1082.911613625781
            - 544.1453400605368
            - 0.0
            - 0.0
            - 0.0
            - 1.0
            - 0.0

ROS1 to ROS2 conversion

Kappe automatically converts ROS1 messages to ROS2 messages. For ROS2 message definitions, Kappe will automatically download them from GitHub based on the specified ROS2 distribution (ros_distro). Supported distributions: HUMBLE (default), IRON (EOL), JAZZY, KILTED, ROLLING. If needed, you can still provide custom message definitions in ./msgs folder. If the ROS2 schema name has changed use the msg_schema.mapping to map the old schema to the new schema.

Reproducibility

Kappe saves the input/output path, the time and the version into a MCAP metadata field, called convert_metadata. The config will be saved as an attachment named convert_config.yaml.

Cut

kappe cut [-h] [--config CONFIG] [--overwrite] mcap [output]

Cuts a mcap file into smaller mcaps, based on timestamp or topic.

For complete option details use kappe cut --help.

When keep_tf_tree is set to true all splits will have the same /tf_static messages.

Split on time

The start and end times define the range to extract into each split file. They are specified in seconds which is compared against the log time (UNIX Timestamp).

keep_tf_tree: true
splits:
  - start: 1676549454.0
    end: 1676549554.0
    name: beginning.mcap
  - start: 1676549554.0
    end: 1676549654.0
    name: end.mcap

kappe cut --config config.yaml ./input.mcap ./output_folder

Results in a folder with the following structure:

output_folder
├── beginning.mcap
└── end.mcap

Split on topic

Splits the mcap file into multiple files, every time a message on the topic /marker is read. The file will be split before the message is read. debounce is the time in seconds that the cutter will wait before splitting the file again, default is 0.

keep_tf_tree: true
split_on_topic:
  topic: "/marker"
  debounce: 10