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recordings:tutorials:videos:pointcloud_labeling [2024/02/07 05:25] arnaud |
recordings:tutorials:videos:pointcloud_labeling [2024/04/10 08:37] (current) arnaud |
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==== Step by step ==== | ==== Step by step ==== | ||
- | - Create a trajectory file that will be used as a canvas to easily navigate through the scene and label all elements of interest {{ : | + | - Create a trajectory file that will be used as a canvas to easily navigate through the scene and label all elements of interest |
+ | * Drag & drop your mapping run {{ : | ||
+ | * Create a vector resource for trajectory to constraint navigation {{ : | ||
+ | * Copy trajectory file in installation folder {{ : | ||
+ | * Define trajectory as linear reference and lock it {{ : | ||
+ | - Create an asset class that will be labeled (e.g: pylons) | ||
+ | * Create asset ressource {{ : | ||
+ | * Pinpoint asset objects in mapping run {{ : | ||
+ | - Select pointcloud to attribute to an asset object | ||
+ | * Select associated pointcloud and add pointcloud selection to asset objects {{ : | ||
+ | * Measure next asset object until the entire dataset is reviewed {{ : | ||
+ | - Generate consolidated classified pointcloud + assets to serve AI-detector training | ||
+ | * Generate data and merge pointcloud selections {{ : | ||
+ | * Pointcloud selection to classification {{ : | ||
+ | - Upload classified pointcloud to enable detector training | ||
+ | * Upload classified OPC to Reality Management {{ : | ||
+ | * Bentley team takes it from here and will start detector training | ||
- | * Drag & drop your mapping run {{ : | ||
- | * Create a vector resource for trajectory | ||
- | - Create an asset class that will be labeled (e.g: pylons) | ||
- | - Select pointcloud to attribute to an asset object | ||
- | - Generate consolidated classified pointcloud + assets to serve AI-detector training | ||
- | - Pointcloud selection to classification |
Last modified:: 2024/02/07 05:25