Advanced Object Placement Model

Project Information

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  • Category: AI/Computer Vision
  • Technologies: OpenCV PyTorch Python
  • Project Date: 2025
  • Dataset: OPA Dataset

Advanced Object Placement Model

This project implements an advanced object placement system that automatically places an object into a background image with realistic positioning and lighting.

Technical Details

  • Image preprocessing and segmentation
  • Trained on OPA dataset with 50,000+ images
  • Shadow generation based on light source estimation
  • Multi-threaded CPU and GPU compatible implementation

Key Features

  • Automatic object segmentation and extraction
  • Physics-based placement suggestions
  • Real-time preview of placement results
  • Batch processing for multiple objects
Object Placement Interface
Object Placement Example

Video Demonstration

See the AOPM-AdvancedObjectPlacementModel Identification system in action

This demonstration shows the complete workflow of the AOPM-AdvancedObjectPlacementModel system.