Delete app.py

app.py

@@ -1,125 +0,0 @@
-import cv2
-import numpy as np
-import gradio as gr
-
-# Farklı filtre fonksiyonları
-def apply_gaussian_blur(frame):
-    return cv2.GaussianBlur(frame, (15, 15), 0)
-
-def apply_sharpening_filter(frame):
-    kernel = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]])
-    return cv2.filter2D(frame, -1, kernel)
-
-def apply_edge_detection(frame):
-    return cv2.Canny(frame, 100, 200)
-
-def apply_invert_filter(frame):
-    return cv2.bitwise_not(frame)
-
-def adjust_brightness_contrast(frame, alpha=1.0, beta=50):
-    return cv2.convertScaleAbs(frame, alpha=alpha, beta=beta)
-
-def apply_grayscale_filter(frame):
-    return cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
-
-def apply_sepia_filter(frame):
-    sepia_filter = np.array([[0.272, 0.534, 0.131],
-                             [0.349, 0.686, 0.168],
-                             [0.393, 0.769, 0.189]])
-    return cv2.transform(frame, sepia_filter)
-
-def apply_fall_filter(frame):
-    fall_filter = np.array([[0.393, 0.769, 0.189],
-                            [0.349, 0.686, 0.168],
-                            [0.272, 0.534, 0.131]])
-    return cv2.transform(frame, fall_filter)
-
-# Yeni filtre fonksiyonları
-def apply_emboss_filter(frame):
-    kernel = np.array([[-2, -1, 0], 
-                       [-1, 1, 1], 
-                       [0, 1, 2]])
-    return cv2.filter2D(frame, -1, kernel)
-
-def apply_sketch_filter(frame):
-    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
-    inv_gray = cv2.bitwise_not(gray)
-    blur = cv2.GaussianBlur(inv_gray, (21, 21), 0)
-    sketch = cv2.divide(gray, 255 - blur, scale=256)
-    return sketch
-
-def apply_median_blur_filter(frame):
-    return cv2.medianBlur(frame, 15)
-
-def adjust_contrast(frame, alpha=2.0, beta=0):
-    return cv2.convertScaleAbs(frame, alpha=alpha, beta=beta)
-
-def adjust_hue(frame, delta=30):
-    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
-    hsv[:, :, 0] = (hsv[:, :, 0] + delta) % 180
-    return cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
-
-# Filtre uygulama fonksiyonu
-def apply_filter(filter_type, input_image=None):
-    if input_image is not None:
-        frame = input_image
-    else:
-        cap = cv2.VideoCapture(0)
-        ret, frame = cap.read()
-        cap.release()
-        if not ret:
-            return "Web kameradan görüntü alınamadı"
-
-    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 == "Sepia":
-        return apply_sepia_filter(frame)
-    elif filter_type == "Sonbahar":
-        return apply_fall_filter(frame)
-    elif filter_type == "Emboss":
-        return apply_emboss_filter(frame)
-    elif filter_type == "Sketch":
-        return apply_sketch_filter(frame)
-    elif filter_type == "Median Blur":
-        return apply_median_blur_filter(frame)
-    elif filter_type == "Contrast Adjustment":
-        return adjust_contrast(frame, alpha=2.0, beta=0)
-    elif filter_type == "Hue Adjustment":
-        return adjust_hue(frame, delta=30)
-
-# Gradio arayüzü
-with gr.Blocks() as demo:
-    gr.Markdown("# Web Kameradan Canlı Filtreleme")
-
-    # Filtre seçenekleri
-    filter_type = gr.Dropdown(
-        label="Filtre Seçin",
-        choices=["Gaussian Blur", "Sharpen", "Edge Detection", "Invert", "Brightness", "Grayscale", "Sepia", "Sonbahar",
-                 "Emboss", "Sketch", "Median Blur", "Contrast Adjustment", "Hue Adjustment"],
-        value="Gaussian Blur"
-    )
-
-    # 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("Filtreyi 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()