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import cv2
import numpy as np
import gradio as gr
# Mozaik Efekti
def apply_mosaic_filter(frame, block_size=20):
(h, w) = frame.shape[:2]
y_blocks = h // block_size
x_blocks = w // block_size
for y in range(y_blocks):
for x in range(x_blocks):
x_start, y_start = x * block_size, y * block_size
x_end, y_end = x_start + block_size, y_start + block_size
block = frame[y_start:y_end, x_start:x_end]
color = cv2.mean(block)[:3]
frame[y_start:y_end, x_start:x_end] = color
return frame
def apply_color_change(frame, red_ratio=1.5, green_ratio=1.0, blue_ratio=0.5):
b, g, r = cv2.split(frame)
r = cv2.multiply(r, red_ratio)
g = cv2.multiply(g, green_ratio)
b = cv2.multiply(b, blue_ratio)
frame = cv2.merge((b, g, r))
return frame
# Gradio arayüzü
with gr.Blocks() as demo:
gr.Markdown("# Mozaik ve Renk Değiştirme")
# Filtre Seçimi
filter_type = gr.Dropdown(
label="Filtre Seçin",
choices=["Mozaik", "Renk Değiştirme"],
value="Mozaik"
)
input_image = gr.Image(label="Görüntü Yükle", type="numpy", height=200, width=200)
output_image = gr.Image(label="Filtre Uygulandı", height=200, width=200)
def apply_filter(filter_type, input_image=None):
if input_image is not None:
if filter_type == "Mozaik":
return apply_mosaic_filter(input_image, block_size=20)
elif filter_type == "Renk Değiştirme":
return apply_color_change(input_image, red_ratio=1.5, green_ratio=0.5, blue_ratio=1.2)
return input_image
input_image.change(fn=apply_filter, inputs=[filter_type, input_image], outputs=output_image)
filter_type.change(fn=apply_filter, inputs=[filter_type, input_image], outputs=output_image)
demo.launch()
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