devexp1601/RealStatePhotography

stars

commits

Python

primary language

Jan 5, 2026

updated

README

🏠 Real Estate Photo Processing Pipeline

AI-powered photo processing pipeline for real estate photography. Automatically classifies, enhances, and optimizes property photos.

✨ Features

Feature	Description
CLIP Classification	Automatically detect interior vs exterior photos
HDR Bracket Merging	Merge 3/5/7 exposure brackets into single HDR image
SDXL Enhancement	AI-powered image enhancement with ControlNet
Sky Replacement	Replace overcast skies with beautiful blue skies
Batch Processing	Process multiple images with job queue
Folder Watching	Auto-process images dropped into watch folder
Web UI	Modern dark theme with drag-and-drop support

🚀 Quick Start

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run server
python app.py

Open http://localhost:5000 in your browser.

📡 API Endpoints

Core Pipeline

Endpoint	Method	Description
`/pipeline/process`	POST	Full pipeline: HDR → Classify → Enhance → Sky Replace
`/classify`	POST	Classify single image (interior/exterior)
`/classify-batch`	POST	Batch classify multiple images

HDR Processing

Endpoint	Method	Description
`/hdr/merge`	POST	Merge HDR brackets (3/5/7 images)
`/hdr/merge-zip`	POST	Merge HDR from ZIP file

Enhancement

Endpoint	Method	Description
`/enhance/process`	POST	SDXL + ControlNet enhancement
`/enhance/load-models`	POST	Pre-load enhancement models

Sky Replacement

Endpoint	Method	Description
`/sky/replace`	POST	Replace sky in exterior image
`/sky/detect`	POST	Detect sky region only
`/sky/library`	GET	List available sky images

Utilities

Endpoint	Method	Description
`/health`	GET	Health check
`/job/<id>`	GET	Get batch job status
`/folder-watcher/start`	POST	Start folder watcher

🔧 Pipeline Options

The web UI provides checkboxes to customize the pipeline:

HDR Merge - Combine exposure brackets
SDXL Enhancement - AI enhancement (requires GPU)
Sky Replacement - Replace sky in exteriors

📁 Project Structure

RealStatePhotography/
├── app.py                 # Flask application
├── config.py              # Configuration settings
├── requirements.txt       # Python dependencies
├── routes/                # API route handlers
│   ├── classify.py        # Classification endpoints
│   ├── hdr.py             # HDR merge endpoints
│   ├── enhance.py         # Enhancement endpoints
│   ├── sky.py             # Sky replacement endpoints
│   └── pipeline.py        # Full pipeline endpoint
├── services/              # Business logic
│   ├── classifier.py      # CLIP classification
│   ├── hdr_merger.py      # HDR bracket merging
│   ├── enhancer.py        # SDXL enhancement
│   ├── sky_replacer.py    # Sky detection & replacement
│   └── pipeline.py        # Pipeline orchestration
├── templates/
│   └── index.html         # Web UI
├── sky_library/           # Sky images for replacement
├── uploads/               # Uploaded images
├── hdr_output/            # HDR merge output
└── enhanced_output/       # Enhanced image output

💻 Hardware Requirements

Component	Minimum	Recommended
RAM	8GB	16GB+
GPU VRAM	6GB	8GB+
Storage	20GB	50GB+

Note: SDXL enhancement requires NVIDIA GPU with CUDA. Other features work on CPU.

🖼️ Sky Library

Add sky images to sky_library/ folder for sky replacement:

Supports: JPG, PNG, WEBP
Recommended: High-resolution blue sky images
The system randomly selects from available skies

📦 Tech Stack

Flask - Web framework
CLIP - Image classification
Stable Diffusion XL - Image enhancement
ControlNet - Structure preservation
OpenCV - Image processing
PyTorch - Deep learning

📄 License

MIT

Contributors

devexp1601

4 commits

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devexp1601/RealStatePhotography

stars

commits

Python

primary language

Jan 5, 2026

updated

README

🏠 Real Estate Photo Processing Pipeline

AI-powered photo processing pipeline for real estate photography. Automatically classifies, enhances, and optimizes property photos.

✨ Features

Feature	Description
CLIP Classification	Automatically detect interior vs exterior photos
HDR Bracket Merging	Merge 3/5/7 exposure brackets into single HDR image
SDXL Enhancement	AI-powered image enhancement with ControlNet
Sky Replacement	Replace overcast skies with beautiful blue skies
Batch Processing	Process multiple images with job queue
Folder Watching	Auto-process images dropped into watch folder
Web UI	Modern dark theme with drag-and-drop support

🚀 Quick Start

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run server
python app.py

Open http://localhost:5000 in your browser.

📡 API Endpoints

Core Pipeline

Endpoint	Method	Description
`/pipeline/process`	POST	Full pipeline: HDR → Classify → Enhance → Sky Replace
`/classify`	POST	Classify single image (interior/exterior)
`/classify-batch`	POST	Batch classify multiple images

HDR Processing

Endpoint	Method	Description
`/hdr/merge`	POST	Merge HDR brackets (3/5/7 images)
`/hdr/merge-zip`	POST	Merge HDR from ZIP file

Enhancement

Endpoint	Method	Description
`/enhance/process`	POST	SDXL + ControlNet enhancement
`/enhance/load-models`	POST	Pre-load enhancement models

Sky Replacement

Endpoint	Method	Description
`/sky/replace`	POST	Replace sky in exterior image
`/sky/detect`	POST	Detect sky region only
`/sky/library`	GET	List available sky images

Utilities

Endpoint	Method	Description
`/health`	GET	Health check
`/job/<id>`	GET	Get batch job status
`/folder-watcher/start`	POST	Start folder watcher

🔧 Pipeline Options

The web UI provides checkboxes to customize the pipeline:

HDR Merge - Combine exposure brackets
SDXL Enhancement - AI enhancement (requires GPU)
Sky Replacement - Replace sky in exteriors

📁 Project Structure

RealStatePhotography/
├── app.py                 # Flask application
├── config.py              # Configuration settings
├── requirements.txt       # Python dependencies
├── routes/                # API route handlers
│   ├── classify.py        # Classification endpoints
│   ├── hdr.py             # HDR merge endpoints
│   ├── enhance.py         # Enhancement endpoints
│   ├── sky.py             # Sky replacement endpoints
│   └── pipeline.py        # Full pipeline endpoint
├── services/              # Business logic
│   ├── classifier.py      # CLIP classification
│   ├── hdr_merger.py      # HDR bracket merging
│   ├── enhancer.py        # SDXL enhancement
│   ├── sky_replacer.py    # Sky detection & replacement
│   └── pipeline.py        # Pipeline orchestration
├── templates/
│   └── index.html         # Web UI
├── sky_library/           # Sky images for replacement
├── uploads/               # Uploaded images
├── hdr_output/            # HDR merge output
└── enhanced_output/       # Enhanced image output

💻 Hardware Requirements

Component	Minimum	Recommended
RAM	8GB	16GB+
GPU VRAM	6GB	8GB+
Storage	20GB	50GB+

Note: SDXL enhancement requires NVIDIA GPU with CUDA. Other features work on CPU.

🖼️ Sky Library

Add sky images to sky_library/ folder for sky replacement:

Supports: JPG, PNG, WEBP
Recommended: High-resolution blue sky images
The system randomly selects from available skies

📦 Tech Stack

Flask - Web framework
CLIP - Image classification
Stable Diffusion XL - Image enhancement
ControlNet - Structure preservation
OpenCV - Image processing
PyTorch - Deep learning

📄 License

MIT

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Contributors

devexp1601

4 commits

Languages

Python

56.5%

HTML

43.5%