Instance Segmentation

• Data Input for Instance Segmentation
• MaskRCNN
  
  • Pre-processing the Dataset
  • Creating a Configuration File
  • Training the Model
  • Evaluating the Model
  • Pruning the Model
  • Re-training the Pruned Model
  • Running Inference on the Model
  • Exporting the Model
  • TensorRT Engine Generation, Validation, and int8 Calibration
  • Deploying to DeepStream
• Mask Auto Labeler
  
  • Creating a Configuration File
  • Training the Model
  • Evaluating the Model
  • Running Inference