Local Mode
Configuration File
All settings such as annotation layer names and colours, sample attributes, report fields as well as all other settings can be stored in a configuration file (config.json) and shared with other devices via the Rock Mapper Cloud. This makes it easy to configure multiple iPads in exactly the same way and guarantees that all devices are using the same layer names, colours and pick list values.
ℹ️ Please note that you can only use one single config.json per Cloud Account, therefore for larger teams or different departments that don't share the same settings it's advisable to get a second subscription for a second Cloud Account.
Simply upload the configuration file from your 'master' device and download the same configuration file onto all other devices that are connected to the same Rock Mapper Cloud Account.
Upload Annotated Image
Rock Mapper always includes and uploads the raw/clean face photograph for each rock face. If you also want to include a face photograph where hand-drawn annotations are directly embedded into the JPG then select this option. By default this option is enabled.
ℹ️ Please note that all annotations are also saved as 3D points in the [FaceID]_mapping.csv file (with X/Y/Z coordinates) except the Scribbles annotation layer. The [FaceID]_mapping.csv file can be used for direct 3D model / wireframe updates.
Upload Cropped Image
This option can be handy if you plan to visualise a lot of rock face photographs in your 3D modelling software package and get rid of some 'clutter' as it removes areas of the photograph that are outside the face.
🔵 Image boundary
Upload Point Cloud
Toggle on if you want to include the point cloud which is captured during the 3D LiDAR scan in the ZIP file that's uploaded to the cloud account. Please note that average Rock Face ZIP file sizes increase from 3-6MB per rock face to up to 100 - 150 MB per rock face when a point cloud is included.
ℹ️ We generally recommend to use the LiDAR Mesh Scan instead of the LiDAR Point Cloud option because file sizes of 3D scans are then smaller plus instead of a point cloud the user gets a photorealistic 3D model (= textured mesh).