| import gradio as gr
|
| import cv2
|
| import numpy as np
|
| from PIL import Image
|
|
|
|
|
| def blur_score_from_pil(pil_img: Image.Image) -> float:
|
|
|
| img = np.array(pil_img.convert("RGB"))
|
| gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
|
| return float(cv2.Laplacian(gray, cv2.CV_64F).var())
|
|
|
|
|
| def check_blur(image: Image.Image, blur_threshold: float = 100.0):
|
| if image is None:
|
| return None, "No image provided."
|
|
|
| score = blur_score_from_pil(image)
|
|
|
| if score < blur_threshold:
|
| return score, "🚫 Blurry image detected. Please re-upload a clearer image."
|
| else:
|
| return score, "✅ Image looks clear. Proceeding to next step."
|
|
|
|
|
| demo = gr.Interface(
|
| fn=check_blur,
|
| inputs=[
|
| gr.Image(type="pil", label="Upload Image"),
|
| gr.Slider(0, 500, value=100, step=1, label="Blur Threshold (Laplacian Variance)"),
|
| ],
|
| outputs=[
|
| gr.Number(label="Blur Score (Laplacian Variance)"),
|
| gr.Textbox(label="Result"),
|
| ],
|
| title="Image Blur Checker",
|
| description="Checks image blur using variance of the Laplacian. Lower score = blurrier image.",
|
| )
|
|
|
| demo.launch(server_name="0.0.0.0", server_port=7860, show_error=True) |
