# TeamsFlipper - Image Processing Tool

TeamsFlipper is a Python script that processes images for video conferencing backgrounds by cropping, resizing, and adding logo overlays.

## Features

- **Batch Processing**: Automatically processes all `.jpg` and `.png` files in the input folder
- **Smart Cropping**: Crops images to 16:9 aspect ratio while preserving the center content
- **Standard Sizing**: Resizes all images to 2560x1440 pixels for consistent output
- **Logo Overlay**: Adds PNG logo from the logo directory to the upper-right corner
- **High Quality Output**: Saves processed images as high-quality JPEGs

## Installation

1. Clone this repository or download the files
2. Install required dependencies:
   ```bash
   pip install -r requirements.txt
   ```

## Project Structure

```
TeamsFlipper/
├── flip_image.py          # Main processing script
├── input/                 # Place your source images here
├── logo/                  # Place your logo PNG file here
│   └── cornerlogo.png     # Example logo file
├── output/                # Processed images appear here
├── README.md              # This file
├── requirements.txt       # Python dependencies
└── .gitignore            # Git ignore rules
```

## Usage

1. **Prepare your files:**
   - Place your source images (`.jpg` or `.png`) in the `input/` folder
   - Ensure your logo PNG file is in the `logo/` folder

2. **Run the script:**
   ```bash
   python3 flip_image.py
   ```

3. **Get your results:**
   - Processed images will be saved in the `output/` folder
   - Output files are named `{original_filename}_logo.jpg`

## Processing Pipeline

The script performs the following operations on each image:

1. **Crop to 16:9**: Centers and crops the image to 16:9 aspect ratio
2. **Resize**: Scales the image to exactly 2560x1440 pixels
3. **Logo Overlay**: Places the logo (480px tall) in the exact upper-right corner
4. **Save**: Outputs as high-quality JPEG (95% quality)

## Logo Requirements

- **Format**: PNG with transparency support
- **Sizing**: Logo will be automatically resized to 480 pixels tall while maintaining aspect ratio
- **Position**: Logo is placed in the exact upper-right corner with no padding

## Supported Input Formats

- JPEG (`.jpg`, `.jpeg`)
- PNG (`.png`)
- Case-insensitive file extensions

## Output Format

- All processed images are saved as JPEG files
- Quality: 95% (high quality)
- Naming: `{original_filename}_logo.jpg`
- Size: 2560x1440 pixels (16:9 aspect ratio)

## Examples

### Input
- `my_photo.jpg` (any size/aspect ratio)
- Logo: `logo/company_logo.png`

### Output
- `output/my_photo_logo.jpg` (2560x1440 with logo overlay)

## Requirements

- Python 3.6+
- Pillow (PIL) library for image processing

## Troubleshooting

### No images found
- Ensure images are placed in the `input/` folder
- Check that file extensions are `.jpg`, `.jpeg`, or `.png`

### Logo not appearing
- Verify logo file exists in the `logo/` folder
- Ensure logo is in PNG format
- Check that logo file is not corrupted

### Processing errors
- Ensure input images are valid image files
- Check that you have write permissions for the `output/` folder

## License

This project is open source and available under standard terms.