Spaces:
Sleeping
Sleeping
File size: 2,907 Bytes
6f110c6 b145bbf 6f110c6 b145bbf 6f110c6 b145bbf 6f110c6 b145bbf 6f110c6 | 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 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | import cv2 as cv
import numpy as np
import gradio as gr
# Farklı filtre fonksiyonları
def apply_gaussian_blur(frame):
return cv.GaussianBlur(frame, (15, 15), 0)
def apply_box_blur(frame):
return cv.blur(frame, (5,5))
def apply_hsv(frame):
return cv.cvtColor(frame, cv.COLOR_BGR2HSV)
def apply_scale_contrast(frame):
return cv.convertScaleAbs(frame , alpha = 1.5 , beta = 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_emboss_filter(frame):
kernel = np.array([[-2,-1,0],[-1,1,1],[0,1,2]])
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 "Web kameradan görüntü alınamadı"
if filter_type == "Gaussian Blur":
return apply_gaussian_blur(frame)
elif filter_type == "Box Blur":
return apply_box_blur(frame)
elif filter_type == "HSV":
return apply_hsv(frame)
elif filter_type == "Scale Contrast":
return apply_scale_contrast(frame)
elif filter_type == "Emboss Filter":
return apply_emboss_filter(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)
# 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", "Box Blur", "HSV", "Scale Contrast", "Emboss Filter"],
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")
# Görüntü yüklendiğinde filtre uygulama fonksiyonu
input_image.change(fn=apply_filter, inputs=[filter_type, input_image], outputs=output_image)
# Gradio arayüzünü başlat
demo.launch()
|