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31bf833 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | import gradio as gr
from PIL import Image, ImageEnhance
import numpy as np
import cv2
# Functions for Enhancements
def enhance_image(img, brightness, contrast, sharpness, saturation):
# Brightness
enhancer = ImageEnhance.Brightness(img)
img = enhancer.enhance(brightness)
# Contrast
enhancer = ImageEnhance.Contrast(img)
img = enhancer.enhance(contrast)
# Sharpness
enhancer = ImageEnhance.Sharpness(img)
img = enhancer.enhance(sharpness)
# Saturation
img_cv = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2HSV)
img_cv[:, :, 1] = np.clip(img_cv[:, :, 1] * saturation, 0, 255)
img = Image.fromarray(cv2.cvtColor(img_cv, cv2.COLOR_HSV2RGB))
return img
# Gradio Interface
def process_image(image, brightness, contrast, sharpness, saturation):
return enhance_image(image, brightness, contrast, sharpness, saturation)
# Gradio Inputs and Outputs
inputs = [
gr.Image(type="pil", label="Upload an Image"),
gr.Slider(0.5, 3.0, 1.0, label="Brightness"),
gr.Slider(0.5, 3.0, 1.0, label="Contrast"),
gr.Slider(0.5, 3.0, 1.0, label="Sharpness"),
gr.Slider(0.5, 3.0, 1.0, label="Saturation"),
]
outputs = gr.Image(type="pil", label="Enhanced Image")
# Launch Gradio App
title = "Image Enhancer App"
description = """
Enhance your images with basic filters like brightness, contrast, sharpness, and saturation.
Upload an image, adjust the sliders, and see the enhanced version!
"""
demo = gr.Interface(
fn=process_image,
inputs=inputs,
outputs=outputs,
title=title,
description=description,
allow_flagging="never"
)
if __name__ == "__main__":
demo.launch()
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