kleinkram-upload

You can upload ROS2 bag files to Kleinkram without collisions by using a Python helper script that splits nested bag directories into separate missions, preventing metadata.yaml overwrites while keeping related sensor data organized within a single project.

You can bulk upload multiple ROS bag folders by running a helper script that resolves project names to UUIDs, creates distinct missions for each subfolder, and processes the datasets to keep different sensor outputs organized in Kleinkram.

The supported file formats for uploading ROS bag datasets to Kleinkram include .mcap, .bag, and .db3 files, which are transferred alongside their corresponding metadata.yaml files to ensure proper dataset structure.

You must have the klein CLI installed and authenticated on your system to upload ROS bags, because the upload process relies on this command-line interface to communicate with Kleinkram and manage project and mission data.

The best way to organize autonomous driving sensor data in Kleinkram is to create distinct missions for separate sensor folders, such as camera and lidar, ensuring that metadata.yaml files from different runs do not overwrite each other.

Uploading nested ROS bag directories requires creating separate missions to avoid filename collisions, specifically preventing multiple metadata.yaml files from overwriting each other during the bulk upload process to Kleinkram.