Getting Started
To launch a project on the iMerit’s 3D Multi-Sensor Fusion Tool, the user will need to cover the following journey.
Define the ontology - The ontology is a comprehensive schema that defines the categories/classes, attributes, relationships, and rules for annotating data.
To define the ontology create a recipe.
Create a taskflow - Taskflow is an interactive channel used to manage the execution of tasks. The goal of a taskflow is to ensure that tasks are executed in a defined sequence by the respective expert mapped to the pipeline.
To setup the taskflow go to create a taskflow.
Pre-process Dataset - It is important to organize the data in the tool ingestible format.
Go to Steps to Load LiDAR Data in the Tool to learn how to restructure data to load the LiDAR data in Step 4.
Create a job - A job is a comprehensive collection of batches. Each batch consists of a set of tasks assigned to a contributor. A job, hence encapsulates the entirety of work required to complete a larger objective by organizing tasks into manageable groups in the form of batches. Multiple batches can be processed in parallel, and the completion of all batches signifies the completion of a job.
Guide to create a job.
The dataset must reside in an S3 account from where the tool will read the data and present on the tool. Accessing the predefined S3 bucket section will help with this step.
To import the data placed in the S3 bucket in Step 3, go to Import.
To add contributors to the project, the user must share the solution from the Dashboard. The Share section helps the user add more members.
The tool can be accessed on the All Batches UI via clicking on the Launch Task button.
To know more about the tool, see Tool User Guide.
Once the annotations are created, the auditor can audit batches in the Audit tool - How to Audit.
Minimum Configuration
System configuration to support the tool:
i5 Processor
16GB of RAM is the amount of memory for speed and smooth functioning
4 GB GPU Card for rendoring
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