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import streamlit as st
import cv2
import numpy as np
st.set_page_config(layout="wide")
def extract_edges(img, blur, ksize, sobel_scale):
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (blur, blur), 0)
x = cv2.Sobel(gray, cv2.CV_64F, 1, 0, ksize=ksize, scale=scale)
y = cv2.Sobel(gray, cv2.CV_64F, 0, 1, ksize=ksize, scale=scale)
absx= cv2.convertScaleAbs(x)
absy = cv2.convertScaleAbs(y)
edge = cv2.addWeighted(absx, 0.5, absy, 0.5, 0)
return cv2.bitwise_not(edge)
uploaded_file = st.file_uploader("Choose an image...", type=["jpeg", "jpg", "png"])
ksize = st.sidebar.slider("Kernel size", min_value=3, max_value=19, value=5, step=2)
scale = st.sidebar.slider("Scale", min_value=0.0, max_value=1.0, value=0.25, step=0.05)
blur = st.sidebar.slider("Gaussian blur", min_value=3, max_value=99, value=5, step=2)
if uploaded_file is not None:
img = cv2.imdecode(np.asarray(bytearray(uploaded_file.read()), dtype="uint8"), flags=cv2.IMREAD_COLOR)
col1, col2 = st.columns(2)
with col1:
st.image(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
with col2:
st.image(extract_edges(img, blur, ksize, scale))
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