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recordings:tutorials:videos:pointcloud_labeling [2024/02/07 05:30]
arnaud 		recordings:tutorials:videos:pointcloud_labeling [2024/04/10 08:37] (current)
arnaud
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-====== Pointcloud labeling for training ======+====== AI-Labeling: Annotate pointcloud for AI training ======
  
  
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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 {{ :recordings:tutorials:videos:pointcloud_labeling_001.mp4?nolink&850x478 |}} +  - 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 {{ :recordings:tutorials:videos:pointcloud_labeling_002.mp4?nolink&850x478 |}} +      * Drag & drop your mapping run {{ :recordings:tutorials:videos:pointcloud_labeling_001.mp4?nolink&850x478 |}} 
-      * Create a vector resource for trajectory {{ :recordings:tutorials:videos:pointcloud_labeling_003.mp4?nolink&850x478 |}} +      * Create a vector resource for trajectory to constraint navigation {{ :recordings:tutorials:videos:pointcloud_labeling_002.mp4?nolink&850x478 |}} 
-      * Copy trajectory file in installation folder {{ :recordings:tutorials:videos:pointcloud_labeling_004.mp4?nolink&850x478 |}} +      * Copy trajectory file in installation folder {{ :recordings:tutorials:videos:pointcloud_labeling_003.mp4?nolink&850x478 |}} 
-      * Define trajectory as linear reference and lock it +      * Define trajectory as linear reference and lock it {{ :recordings:tutorials:videos:pointcloud_labeling_004.mp4?nolink&850x478 |}} 
-  - Create an asset class that will be labeled (e.g: pylons) +  - Create an asset class that will be labeled (e.g: pylons)  
-  - Select pointcloud to attribute to an asset object +      * Create asset ressource {{ :recordings:tutorials:videos:pointcloud_labeling_005.mp4?nolink&850x478 |}} 
-  - Generate consolidated classified pointcloud + assets to serve AI-detector training +      * Pinpoint asset objects in mapping run {{ :recordings:tutorials:videos:pointcloud_labeling_006.mp4?nolink&850x478 |}} 
-  - Pointcloud selection to classification+  - Select pointcloud to attribute to an asset object  
 +      * Select associated pointcloud and add pointcloud selection to asset objects {{ :recordings:tutorials:videos:pointcloud_labeling_007.mp4?nolink&850x478 |}} 
 +      * Measure next asset object until the entire dataset is reviewed {{ :recordings:tutorials:videos:pointcloud_labeling_008.mp4?nolink&850x478 |}} 
 +  - Generate consolidated classified pointcloud + assets to serve AI-detector training  
 +      * Generate data and merge pointcloud selections {{ :recordings:tutorials:videos:pointcloud_labeling_009.mp4?nolink&850x478 |}} 
 +      * Pointcloud selection to classification {{ :recordings:tutorials:videos:pointcloud_labeling_010.mp4?nolink&850x478 |}} 
 +  - Upload classified pointcloud to enable detector training  
 +      * Upload classified OPC to Reality Management {{ :recordings:tutorials:videos:pointcloud_labeling_011.mp4?nolink&850x478 |}} 
 +      * Bentley team takes it from here and will start detector training 
 
Last modified:: 2024/02/07 05:30