[general]
name=GeoOSAM
qgisMinimumVersion=3.16
qgisMaximumVersion=3.99
description=Advanced segmentation tool with intelligent SAM 2.1/Ultralytics SAM2.1_B selection, exceptional CPU performance (<1s on 24+ cores), GPU acceleration, threading, and professional workflow features
about=GeoOSAM brings Meta's latest Segment Anything Model (SAM 2.1) and Ultralytics SAM2.1_B to QGIS with intelligent hardware optimization. Features automatic model selection: SAM 2.1 for GPU systems (CUDA/Apple Silicon) and Ultralytics SAM2.1_B for CPU-only systems, providing 5-10x performance improvements. Ultralytics automatically handles SAM2.1_B downloads for seamless CPU setup. Includes GPU/CPU acceleration with automatic device detection, multi-threaded processing for responsive UI, Point and BBox segmentation modes, 12 pre-defined classes (Buildings, Roads, Vegetation, Water, Vehicle, Ship, etc.) plus custom class creation, Undo functionality for mistake correction, Custom output folder selection, Optional debug mask saving, Automatic raster layer re-selection, Professional shapefile export with detailed attributes. Perfect for remote sensing analysis, urban planning, environmental monitoring, and geospatial segmentation tasks. Optimized for NVIDIA GPU, Apple Silicon, and multi-core CPU processing with intelligent model selection for optimal performance on any hardware.

version=1.3.0
author=Ofer Butbega
email=geoosamplugin@gmail.com

tracker=https://github.com/espressouk/GeoOSAM/issues
repository=https://github.com/espressouk/GeoOSAM
homepage=https://github.com/espressouk/GeoOSAM

# Detailed tags for discoverability
tags=python,segmentation,AI,SAM,SAM2,SAM2.1,SAM2.1_B,Ultralytics,machine learning,deep learning,computer vision,remote sensing,satellite imagery,urban planning,environmental monitoring,geospatial analysis,object detection,semantic segmentation,GPU acceleration,CUDA,Apple Silicon,pytorch,raster analysis,GIS,intelligent model selection,performance optimization

category=Raster
icon=icon.png

# Plugin status
experimental=False
deprecated=False
approved=False

# Server and processing
hasProcessingProvider=no
server=False

# Plugin dependencies and requirements
plugin_dependencies=

# Changelog (REQUIRED for updates)
changelog=1.3.0 - SAM3 Integration & Pro Licensing (2025-12-28)
    - NEW: SAM3 auto-segmentation ✅ WORKING (tested 2025-12-26)
    - NEW: SAM3 text prompts ✅ WORKING (CLIP tokenizer fixed with runtime patch!)
    - NEW: SAM3 similar object detection ✅ WORKING (CLIP tokenizer fixed!)
    - NEW: SAM3 Pro licensing system with device limits and offline validation
    - NEW: Free tier (extent/AOI) + Pro tier (entire raster) for SAM3 text/similar modes
    - NEW: Cancel button for tiled operations - abort long-running processes anytime
    - NEW: Scope selector (AOI vs full raster) with tiled processing for large rasters
    - NEW: Model selection dropdown with size variants per hardware (GPU/CPU)
    - NEW: SAM3 download flow with Hugging Face token prompt
    - FIXED: CLIP tokenizer bug preventing SAM3 text/exemplar modes (runtime patch applied)
    - FIXED: Similar mode bbox handling and mask result processing
    - FIXED: Threaded tiled processing stability and progress reporting
    - ENHANCED: Automatic model detection and availability checks
    - ENHANCED: Improved UI state updates for model changes

    1.2.2 - Threading Configuration Fix
    - FIXED: PyTorch threading initialization error when other plugins pre-configure threads
    - FIXED: "cannot set number of interop threads" RuntimeError on plugin startup
    - Enhanced thread configuration with graceful fallback for pre-initialized environments
    - Improved compatibility with other PyTorch-based QGIS plugins

    1.2.1 - Online Tile Layer Support
    - NEW: Support for online tile services (XYZ, WMS, WMTS)
    - NEW: Automatic tile caching with proper georeferencing

    1.2.0 - Multi-spectral UAV Support with Comprehensive Object Detection
    - NEW: Native multi-spectral UAV/satellite imagery support (5+ bands)
    - NEW: Automatic NDVI calculation for vegetation detection using NIR/Red bands
    - NEW: Dual processing path - RGB for SAM2, full spectral for vegetation analysis

    1.2.2 - Threading Configuration Fix
    - FIXED: PyTorch threading initialization error when other plugins pre-configure threads
    - FIXED: "cannot set number of interop threads" RuntimeError on plugin startup
    - Enhanced thread configuration with graceful fallback for pre-initialized environments
    - Improved compatibility with other PyTorch-based QGIS plugins

    1.2.1 - Online Tile Layer Support
    - NEW: Support for online tile services (XYZ, WMS, WMTS)
    - NEW: Works with ESRI, Google Satellite, Bing Aerial
    - NEW: Automatic tile caching with proper georeferencing
    
    1.2.0 - Multi-spectral UAV Support with Comprehensive Object Detection
    - NEW: Native multi-spectral UAV/satellite imagery support (5+ bands)
    - NEW: Automatic NDVI calculation for vegetation detection using NIR/Red bands
    - NEW: Enhanced batch processing with up to 100 objects for vegetation
    - NEW: Intelligent shape filtering to reject roads/tracks in vegetation detection
    - NEW: Dual processing path - RGB for SAM2, full spectral for vegetation analysis
    - NEW: Specialized detection helpers for Agriculture, Road, Vehicle, Water, Vessels, and General classes
    - NEW: Non-blocking queue system - submit multiple requests without waiting
    - NEW: Class-specific validation and detection algorithms optimized for each object type
    - FIXED: High-resolution reflectance value preservation (0-1 range) and data type truncation
    - FIXED: SAM2 tensor mismatch errors with multi-spectral input
    - FIXED: Vessels detection shoreline noise with strict size validation (>5000px rejection)
    - FIXED: Oversized mask validation (rejects masks >10%% of image area)
    - FIXED: Crash prevention with robust processing state management
    - FIXED: Shape attribute renamed from 'class_name' to 'class' for consistency
    - FIXED: Mathematical warnings in texture calculation
    - ENHANCED: Vegetation detection with aspect ratio and solidity filtering
    - ENHANCED: Sequential processing with queue status feedback and position tracking
    - ENHANCED: Point and batch mode validation consistency
    - IMPROVED: Comprehensive logging for debugging high-resolution imagery issues
    - IMPROVED: User experience with rapid clicking support and clear status messages
    
    1.1.0 - Major Bug Fixes and GUI Improvements
    - FIXED: Multiple raster layer support - segmentation now works with selected raster layer
    - FIXED: Resolved "point is out of raster bounds" exception with multiple rasters loaded (must be same CRS)
    - FIXED: Panel focus management - controls properly lose focus after use
    - FIXED: Space key no longer re-triggers last clicked button
    - FIXED: Added close/minimize button to control panel header
    - FIXED: Font display issues on Hi-DPI screens
    - FIXED: Enabled bounding box selection mode for rectangular area prompts
    - NEW: Refined GUI with improved user interface design
    - NEW: Flexible panel width for better screen adaptation
    - Enhanced panel layout and control positioning
    - Improved keyboard event filtering and focus handling
    - Better multi-raster workflow support
    - Enhanced user experience with cleaner interface elements
    - Improved cross-platform UI compatibility
    - General stability and usability improvements
    
    1.0.0 - Major Update with Intelligent Model Selection
    - Intelligent model selection: SAM 2.1 for GPU, Ultralytics SAM2.1_B for CPU
    - Exceptional CPU performance: Sub-second segmentation on high-core systems (24+ cores)
    - Enhanced CPU performance with Ultralytics SAM2.1_B integration (5-30x speedup)
    - Automatic device detection (CUDA/Apple Silicon/CPU) with optimal model selection
    - SAM 2.1 support with improved accuracy for small objects and occlusion handling
    - Intelligent threading optimization: High-core CPUs (16+) use 75%% of cores for maximum throughput
    - Multi-threaded processing for responsive UI during inference
    - Point and BBox segmentation modes with adaptive processing
    - 12 pre-defined classes + custom class creation with color coding
    - Vehicle and Ship classes for transportation and maritime analysis
    - Undo functionality for mistake correction with polygon-level tracking
    - Custom output folder selection with user-configurable paths
    - Optional debug mask saving (disabled by default for performance)
    - Automatic raster layer re-selection for streamlined workflow
    - Professional shapefile export with detailed attributes and metadata
    - Performance optimization based on zoom level and hardware capabilities
    - Comprehensive error handling and user feedback system
    - Professional workflow features optimized for GIS analysis
    - Updated dependencies: torch, torchvision, ultralytics, opencv-python, rasterio, shapely, hydra-core
    - Automatic model downloading: Ultralytics handles SAM2.1_B, plugin manages SAM 2.1.
    - Enhanced memory management and processing efficiency
    - Cross-platform compatibility with Windows, macOS, and Linux

# Update and support information
update_date=2025-12-28
