image-filter-lab

安装量: 52
排名: #14296

安装

npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill image-filter-lab

Image Filter Lab

Apply professional filters and effects to images.

Features Color Filters: Sepia, B&W, color tint, saturation Blur Effects: Gaussian, motion, radial blur Artistic Filters: Vintage, film grain, vignette Enhancements: Sharpen, contrast, brightness Custom Presets: Save and apply filter combinations Batch Processing: Apply filters to multiple images Quick Start from image_filter import ImageFilterLab

lab = ImageFilterLab() lab.load("photo.jpg")

Apply vintage filter

lab.vintage() lab.save("photo_vintage.jpg")

Chain multiple effects

lab.load("photo.jpg") lab.brightness(1.2).contrast(1.1).saturation(0.8).vignette() lab.save("photo_edited.jpg")

CLI Usage

Apply single filter

python image_filter.py --input photo.jpg --filter vintage --output result.jpg

Apply multiple filters

python image_filter.py -i photo.jpg --sepia --vignette --sharpen -o result.jpg

Adjust parameters

python image_filter.py -i photo.jpg --brightness 1.2 --contrast 1.1 -o result.jpg

Batch process

python image_filter.py --batch photos/ --filter vintage --output-dir filtered/

API Reference ImageFilterLab Class class ImageFilterLab: def init(self)

# Loading
def load(self, filepath: str) -> 'ImageFilterLab'

# Color Filters
def grayscale(self) -> 'ImageFilterLab'
def sepia(self, intensity: float = 1.0) -> 'ImageFilterLab'
def negative(self) -> 'ImageFilterLab'
def tint(self, color: Tuple, intensity: float = 0.3) -> 'ImageFilterLab'

# Adjustments
def brightness(self, factor: float) -> 'ImageFilterLab'
def contrast(self, factor: float) -> 'ImageFilterLab'
def saturation(self, factor: float) -> 'ImageFilterLab'
def hue(self, shift: int) -> 'ImageFilterLab'
def temperature(self, value: int) -> 'ImageFilterLab'

# Blur Effects
def blur(self, radius: int = 5) -> 'ImageFilterLab'
def motion_blur(self, size: int = 15, angle: int = 0) -> 'ImageFilterLab'
def radial_blur(self, amount: int = 10) -> 'ImageFilterLab'

# Sharpen
def sharpen(self, factor: float = 1.0) -> 'ImageFilterLab'
def unsharp_mask(self, radius: int = 2, percent: int = 150) -> 'ImageFilterLab'

# Artistic
def vintage(self) -> 'ImageFilterLab'
def film_grain(self, amount: int = 25) -> 'ImageFilterLab'
def vignette(self, radius: float = 0.8, intensity: float = 0.5) -> 'ImageFilterLab'
def posterize(self, levels: int = 4) -> 'ImageFilterLab'
def solarize(self, threshold: int = 128) -> 'ImageFilterLab'

# Presets
def apply_preset(self, preset: str) -> 'ImageFilterLab'
def save_preset(self, name: str, operations: List) -> None

# Output
def save(self, filepath: str, quality: int = 95) -> str
def reset(self) -> 'ImageFilterLab'

# Batch
def batch_process(self, input_dir: str, output_dir: str,
                 filter_func: callable) -> List[str]

Built-in Presets vintage: Sepia tint, reduced saturation, vignette film: Slight desaturation, grain, crushed blacks instagram: High contrast, warm tint, vignette noir: High contrast B&W, strong vignette warm: Warm color temperature, increased saturation cool: Cool color temperature, slightly desaturated dramatic: High contrast, deep shadows dreamy: Soft blur, bright highlights, low contrast Dependencies pillow>=10.0.0 opencv-python>=4.8.0 numpy>=1.24.0

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