Create app.py

app.py

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+import cv2 as cv
+import numpy as np
+import gradio as gr
+
+# Filtreler
+def retro_filter(frame):
+    sepia= cv.transform(frame, np.array([[0.393, 0.769, 0.189], 
+                                         [0.349, 0.686, 0.168], 
+                                         [0.272, 0.534, 0.131]]))
+    normalization= np.clip(sepia, 0, 255).astype(np.uint8) #normalizasyon
+    return normalization
+
+def apply_gaussian_blur(frame):
+    return cv.GaussianBlur(frame, (15, 15), 0)
+
+def apply_sharpening_filter(frame):
+    kernel = np.array([[0, -1, 0], [-1, 5,-1], [0, -1, 0]])
+    return cv.filter2D(frame, -1, kernel)
+
+def apply_edge_detection(frame):
+    return cv.Canny(frame, 100, 200)
+
+def apply_invert_filter(frame):
+    return cv.bitwise_not(frame)
+
+def adjust_brightness_contrast(frame, alpha=1.0, beta=50):
+    return cv.convertScaleAbs(frame, alpha=alpha, beta=beta)
+
+def apply_grayscale_filter(frame):
+    return cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
+
+# Filtre uygulama fonksiyonu
+def apply_filter(filter_type, input_image=None):
+    if input_image is not None:
+        frame = input_image
+    else:
+        cap = cv.VideoCapture(0)
+        ret, frame = cap.read()
+        cap.release()
+        if not ret:
+            return "Kameradan görüntü alınamadı. Lütfen tekrar deneyin."
+
+    if filter_type == "Gaussian Blur":
+        return apply_gaussian_blur(frame)
+    elif filter_type == "Sharpen":
+        return apply_sharpening_filter(frame)
+    elif filter_type == "Edge Detection":
+        return apply_edge_detection(frame)
+    elif filter_type == "Invert":
+        return apply_invert_filter(frame)
+    elif filter_type == "Brightness":
+        return adjust_brightness_contrast(frame, alpha=1.0, beta=50)
+    elif filter_type == "Grayscale":
+        return apply_grayscale_filter(frame)
+    elif filter_type == "Retro":
+        return retro_filter(frame)
+    
+
+# Gradio arayüzü
+with gr.Blocks() as demo:
+    gr.Markdown("# Web Kameradan Canlı Filtreleme")
+
+    # Filtre seçenekleri
+    filter_type = gr.Dropdown(
+        label="Filtre Seçin",
+        choices=["Retro","Gaussian Blur", "Sharpen", "Edge Detection", "Invert", "Brightness", "Grayscale"],
+        value="Retro"
+    )
+    interactive=True
+    # Görüntü yükleme alanı
+    input_image = gr.Image(label="Resim Yükle", type="numpy")
+
+    # Çıktı için görüntü
+    output_image = gr.Image(label="Filtre Uygulandı")
+
+    # Filtre uygula butonu
+    apply_button = gr.Button("Filtre Uygula")
+
+    # Butona tıklanınca filtre uygulama fonksiyonu
+    apply_button.click(fn=apply_filter, inputs=[filter_type, input_image], outputs=output_image)
+
+# Gradio arayüzünü başlat
+demo.launch()