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